Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Publications (sorted in inverse chronological order)

2017

  • Bleifuß, T., Johnson, T., Kalashnikov, D.V., Naumann, F., Shkapenyuk, V., Srivastava, D.: Enabling Change Exploration (Vision). Proceedings of the Fourth International Workshop on Exploratory Search in Databases and the Web (ExploreDB). p. 1--3 (2017).
     
  • Kruse, S., Papenbrock, T., Dullweber, C., Finke, M., Hegner, M., Zabel, M., Zöllner, C., Naumann, F.: Fast Approximate Discovery of Inclusion Dependencies. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW) (2017).
     
  • Papenbrock, T., Naumann, F.: A Hybrid Approach for Efficient Unique Column Combination Discovery. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW). BTW (2017).
     
  • Lazaridou, K., Krestel, R., Naumann, F.: Identifying Media Bias by Analyzing Reported Speech. International Conference on Data Mining. IEEE (2017).
     
  • Abedjan, Z., Golab, L., Naumann, F.: Data Profiling (tutorial). Proceedings of the International Conference on Management of Data (SIGMOD) (2017).
     
  • Risch, J., Krestel, R.: What Should I Cite? Cross-Collection Reference Recommendation of Patents and Papers. Proceedings of the International Conference on Theory and Practice of Digital Libraries (TPDL). pp. 40-46 (2017).
     
  • Gruetze, T., Krestel, R., Lazaridou, K., Naumann, F.: What was Hillary Clinton doing in Katy, Texas? Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, 3-7 April, 2017. ACM (2017).
     
  • Papenbrock, T., Naumann, F.: Data-driven Schema Normalization. Proceedings of the International Conference on Extending Database Technology (EDBT). EDBT (2017).
     
  • Maschler, F., Niephaus, F., Risch, J.: Real or Fake? Large-Scale Validation of Identity Leaks. 47. Jahrestagung der Gesellschaft für Informatik (INFORMATIK) (2017).
     
  • Loster, M., Zuo, Z., Naumann, F., Maspfuhl, O., Thomas, D.: Improving Company Recognition from Unstructured Text by using Dictionaries. Proceedings of the International Conference on Extending Database Technology (EDBT) (2017).
     
  • Zuo, Z., Loster, M., Krestel, R., Naumann, F.: Uncovering Business Relationships: Context-sensitive Relationship Extraction for Difficult Relationship Types. Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (LWDA) (2017).
     
  • Krestel, R., Risch, J.: How Do Search Engines Work? A Massive Open Online Course with 4000 Participants. Proceedings of the Conference Lernen, Wissen, Daten, Analysen. pp. 259-271 (2017).
     
  • Kruse, S., Hahn, D., Walter, M., Naumann, F.: Metacrate: Organize and Analyze Millions of Data Profiles. Proceedings of the International Conference on Information and Knowledge Management (CIKM). ACM (2017).
     
  • Repke, T., Loster, M., Krestel, R.: Comparing Features for Ranking Relationships Between Financial Entities Based on Text. Proceedings of the 3rd International Workshop on Data Science for Macro--Modeling with Financial and Economic Datasets. p. 12:1--12:2. ACM, New York, NY, USA (2017).
     
  • Giesler, M.J., Keller, B., Repke, T., Leonhart, R., Weis, J., Muckelbauer, R., Rieckmann, N., Müller-Nordhorn, J., Lucius-Hoene, G., Holmberg, C.: Effect of a Website That Presents Patients' Experiences on Self-Efficacy and Patient Competence of Colorectal Cancer Patients: Web-Based Randomized Controlled Trial. J Med Internet Res. 19, e334 (2017).
     
  • Naumann, F., Krestel, R.: Das Fachgebiet „Informationssysteme“ am Hasso-Plattner-Institut. Datenbankspektrum. 17, 69-76 (2017).
     

2016

  • Krestel, R., Mottin, D., Müller, E. eds: Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Potsdam, Germany, September 12-14, 2016. CEUR-WS.org (2016).
     
  • Agrawal, D., Ba, L., Berti-Equille, L., Chawla, S., Elmagarmid, A., Hammady, H., Idris, Y., Kaoudi, Z., Khayyat, Z., Kruse, S., Ouzzani, M., Papotti, P., Quiané-Ruiz, J.-A., Tang, N., Zaki, M.J.: Rheem: Enabling Multi-Platform Task Execution (demo). Proceedings of the ACM SIGMOD conference (SIGMOD) (2016).
     
  • Godde, C., Lazaridou, K., Krestel, R.: Classification of German Newspaper Comments. Proceedings of the Conference Lernen, Wissen, Daten, Analysen. pp. 299-310. CEUR-WS.org (2016).
     
  • Ziawasch Abedjan, L.G., Naumann, F.: Data Profiling (tutorial). International Conference on Data Engineering (ICDE) (2016).
     
  • Jenders, M., Krestel, R., Naumann, F.: Which Answer is Best? Predicting Accepted Answers in MOOC Forums. Proceedings of the 25th International Conference Companion on World Wide Web. pp. 679-684. International World Wide Web Conferences Steering Committee (2016).
     
  • Papenbrock, T., Naumann, F.: A Hybrid Approach to Functional Dependency Discovery. Proceedings of the International Conference on Management of Data (SIGMOD). SIGMOD (2016).
     
  • Samiei, A., Koumarelas, I., Loster, M., Naumann, F.: Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities. Proceedings of the Second International Workshop on Data Science for Macro-Modeling. ACM (2016).
     
  • Park, J., Blume-Kohout, M., Krestel, R., Nalisnick, E., Smyth, P.: Analyzing NIH Funding Patterns over Time with Statistical Text Analysis. Scholarly Big Data: AI Perspectives, Challenges, and Ideas (SBD 2016) Workshop at AAAI 2016. AAAI (2016).
     
  • Kruse, S., Jentzsch, A., Papenbrock, T., Kaoudi, Z., Quiane-Ruiz, J.-A., Naumann, F.: RDFind: Scalable Conditional Inclusion Dependency Discovery in RDF Datasets. Proceedings of the ACM SIGMOD conference (SIGMOD) (2016).
     
  • Bleifuß, T., Bülow, S., Frohnhofen, J., Risch, J., Wiese, G., Kruse, S., Papenbrock, T., Naumann, F.: Approximate Discovery of Functional Dependencies for Large Datasets. Proceedings of the International Conference on Information and Knowledge Management (CIKM). pp. 1803-1812 (2016).
     
  • Grundke, M., Jasper, J., Perchyk, M., Sachse, J.P., Krestel, R., Neves, M.: TextAI: Enhancing TextAE with Intelligent Annotation Support. Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine (SMBM 2016). pp. 80-84. CEUR-WS.org (2016).
     
  • Samiei, A., Naumann, F.: Cluster-based Sorted Neighborhood for Efficient Duplicate Detection. International Conference on Data Mining Workshops (ICDMW) (2016).
     
  • Gruetze, T., Krestel, R., Naumann, F.: Topic Shifts in StackOverflow: Ask it like Socrates. Lecture Notes in Computer Science. p. 213--221. Springer (2016).
     
  • Ehrlich, J., Roick, M., Schulze, L., Zwiener, J., Papenbrock, T., Naumann, F.: Holistic Data Profiling: Simultaneous Discovery of Various Metadata. Extending Database Technology (EDBT). pp. 305-316 (2016).
     
  • Lazaridou, K., Krestel, R.: Identifying Political Bias in News Articles. International Conference on Theory and Practice of Digital Libraries. IEEE Technical Committee on Digital Libraries (2016).
     
  • Kruse, S., Papenbrock, T., Harmouch, H., Naumann, F.: Data Anamnesis: Admitting Raw Data into an Organization. IEEE Data Engineering Bulletin. 39, 8--20 (2016).
     
  • Langer, P., Naumann, F.: Efficient Order Dependency Discovery. VLDB Journal. 25, 223-241 (2016).
     
  • Naumann, F., Krestel, R.: The Information Systems Group at HPI. SIGMOD Record. (2016).
     
  • Gruetze, T., Kasneci, G., Zuo, Z., Naumann, F.: CohEEL: Coherent and Efficient Named Entity Linking through Random Walks. Web Semantics: Science, Services and Agents on the World Wide Web. 37, 75--89 (2016).
     

2015

  • Jenders, M., Lindhauer, T., Kasneci, G., Krestel, R., Naumann, F.: A Serendipity Model For News Recommendation. KI 2015: Advances in Artificial Intelligence - 38th Annual German Conference on AI, Dresden, Germany, September 21-25, 2015, Proceedings. pp. 111-123. Springer (2015).
     
  • Schubotz, T., Krestel, R.: Online Temporal Summarization of News Events. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). pp. 679-684. IEEE Computer Society (2015).
     
  • Gruetze, T., Yao, G., Krestel, R.: Learning Temporal Tagging Behaviour. Proceedings of the 24th International Conference on World Wide Web Companion (WWW). p. 1333--1338. ACM (2015).
     
  • Kruse, S., Papotti, P., Naumann, F.: Estimating Data Integration and Cleaning Effort. Proceedings of the International Conference on Extending Database Technology (EDBT) (2015).
     
  • Roick, M., Jenders, M., Krestel, R.: How to Stay Up-to-date on Twitter with General Keywords. Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. CEUR-WS.org (2015).
     
  • Schmidt, D., Frohnhofen, J., Knebel, S., Meinel, F., Perchyk, M., Risch, J., Striebel, J., Wachtel, J., Baudisch, P.: Ergonomic Interaction for Touch Floors. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. p. 3879--3888. ACM, Seoul, Republic of Korea (2015).
     
  • Jentzsch, A., Mühleisen, H., Naumann, F.: Uniqueness, Density, and Keyness: Exploring Class Hierarchies. In Proceedings of 6th International Workshop on Consuming Linked Data (COLD 2015), ISWC 2015. , Bethlehem, PA, USA (2015).
     
  • Hennig, P., Berger, P., Dullweber, C., Finke, M., Maschler, F., Risch, J., Meinel, C.: Social Media Story Telling. Proceedings of the 8th IEEE International Conference on Social Computing and Networking (SocialCom2015). , Chengdu, China (2015).
     
  • Jentzsch, A., Dullweber, C., Troiano, P., Naumann, F.: Exploring Linked Data Graph Structures. In Proceedings of Posters and Demos Session, ISWC2015. , Bethlehem, PA, USA (2015).
     
  • Kruse, S., Papenbrock, T., Naumann, F.: Scaling Out the Discovery of Inclusion Dependencies. Proceedings of the conference on Database Systems for Business, Technology, and Web (BTW) (2015).
     
  • Krestel, R., Werkmeister, T., Wiradarma, T.P., Kasneci, G.: Tweet-Recommender: Finding Relevant Tweets for News Articles. Proceedings of the 24th International World Wide Web Conference (WWW). ACM (2015).
     
  • Rheinländer, A., Heise, A., Hueske, F., Leser, U., Naumann, F.: SOFA: An Extensible Logical Optimizer for UDF-heavy Data Flows. Information Systems. 52, 96-125 (2015).
     
  • Abedjan, Z., Golab, L., Naumann, F.: Profiling relational data: a survey. VLDB Journal. 24, 557-581 (2015).
     
  • Krestel, R., Dokoohaki, N.: Diversifying Customer Review Rankings. Neural Networks. 66, 36-45 (2015).
     
  • Papenbrock, T., Kruse, S., Quiane-Ruiz, J.-A., Naumann, F.: Divide & Conquer-based Inclusion Dependency Discovery. Proceedings of the VLDB Endowment. 8, 774-785 (2015).
     
  • Papenbrock, T., Ehrlich, J., Marten, J., Neubert, T., Rudolph, J.-P., Schönberg, M., Zwiener, J., Naumann, F.: Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms. Proceedings of the VLDB Endowment. 8, 1082-1093 (2015).
     
  • Papenbrock, T., Heise, A., Naumann, F.: Progressive Duplicate Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE). 27, 1316-1329 (2015).
     
  • Papenbrock, T., Bergmann, T., Finke, M., Zwiener, J., Naumann, F.: Data Profiling with Metanome (demo). Proceedings of the VLDB Endowment. 8, 1860-1871 (2015).
     

2014

  • Abedjan, Z., Naumann, F.: Amending RDF Entities with New Facts. Know@LOD Workshop in conjunction with ESWC. , Creete, Greece (2014).
     
  • Abedjan, Z., Quanie-Ruiz, J.-A., Naumann, F.: Detecting Unique Column Combinations on Dynamic Data. Proceedings of the IEEE International Conference on Data Engineering (ICDE). , Chicago, IL (2014).
     
  • Vogel, T., Naumann, F.: Semi-Supervised Consensus Clustering: Reducing Human Effort. Proceedings of the International Workshop on Data Integration and Applications (2014).
     
  • Gruetze, T., Kasneci, G., Zuo, Z., Naumann, F.: Bootstrapping Wikipedia to Answer Ambiguous Person Name Queries. 10th International Workshop on Information Integration on the Web (IIWeb). , Chicago, IL (2014).
     
  • Heise, A., Kasneci, G., Naumann, F.: Estimating the Number and Sizes of Fuzzy-Duplicate Clusters. Proceedings of the Conference on Information and Knowledge Management (CIKM). pp. 959-968 (2014).
     
  • Zuo, Z., Kasneci, G., Gruetze, T., Naumann, F.: BEL: Bagging for Entity Linking. 25th International Conference on Computational Linguistics (COLING). , Dublin, Ireland (2014).
     
  • Langer, P., Schulze, P., George, S., Kohnen, M., Metzke, T., Abedjan, Z., Kasneci, G.: Assigning Global Relevance Scores to DBpedia Facts. International Workshop on Data Engineering meets the Semantic Web (DESWeb). , Chicago, IL (2014).
     
  • Rheinländer, A., Beckmann, M., Kunkel, A., Heise, A., Stoltmann, T., Leser, U.: Versatile optimization of UDF-heavy data flows with SOFA (demo). Proceedings of the SIGMOD conference. pp. 685-688 (2014).
     
  • Meyer, A., Pufahl, L., Batoulis, K., Kruse, S., Lindhauer, T., Stoff, T., Fahland, D., Weske, M.: Data Perspective in Process Choreographies: Modeling and Execution. 26th International Conference on Advanced Information Systems Engineering. , Thessaloniki, Greece (2014).
     
  • Abedjan, Z., Schulze, P., Naumann, F.: DFD: Efficient Discovery of Functional Dependencies. In Proceedings of the International Conference on Information and Knowledge Management (CIKM), Shanghai, China. pp. 949-958 (2014).
     
  • Forchhammer, B., Jentzsch, A., Naumann, F.: LODOP - Multi-Query Optimization for Linked Data Profiling Queries. In Proceedings of the International Workshop on Dataset PROFIling & fEderated Search for Linked Data (PROFILES) in conjunction with ESWC. , Heraklion, Greece (2014).
     
  • Abedjan, Z., Gruetze, T., Jentzsch, A., Naumann, F.: Profiling and Mining RDF Data with ProLOD++. Proceedings of the IEEE International Conference on Data Engineering (ICDE), Demo. , Chicago, IL (2014).
     
  • Lorey, J.: Identifying and Determining SPARQL Endpoint Characteristics. International Journal of Web Information Systems. 10, (2014).
     
  • Alexandrov, A., Bergmann, R., Ewen, S., Freytag, J.-C., Hueske, F., Heise, A., Kao, O., Leich, M., Leser, U., Markl, V., Naumann, F., Peters, M., Rheinländer, A., Sax, M.J., Schelter, S., Höger, M., Tzoumas, K., Warneke, D.: The Stratosphere Platform for Big Data Analytics. The VLDB Journal. 23, 939-964 (2014).
     
  • Vogel, T., Heise, A., Draisbach, U., Lange, D., Naumann, F.: Reach for Gold: An Annealing Standard to Evaluate Duplicate Detection Results. JDIQ. 5, (2014).
     
  • Krestel, R., Bergler, S., Witte, R.: Modeling human newspaper readers: The Fuzzy Believer approach. Natural Language Engineering. 20, 261--288 (2014).
     
  • Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., Bizer, C.: DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. Semantic Web Journal. (2014).
     

2013

  • Rheinländer, A., Heise, A., Hueske, F., Leser, U., Naumann, F.: SOFA: An Extensible Logical Optimizer for UDF-heavy Dataflows. (2013).
     
  • Lange, D., Naumann, F.: Bulk Sorted Access for Efficient Top-k Retrieval. Proceedings of the International Conference on Scientific and Statistical Database Management (SSDBM). , Baltimore, Maryland (2013).
     
  • Heise, A., Quiane-Ruiz, J.-A., Abedjan, Z., Jentzsch, A., Naumann, F.: Scalable Discovery of Unique Column Combinations. Proceedings of the VLDB Endowment (PVLDB). , Hangzhou, China (2013).
     
  • Draisbach, U., Naumann, F.: On Choosing Thresholds for Duplicate Detection. Proceedings of the 18th International Conference on Information Quality (ICIQ). , Little Rock, USA (2013).
     
  • Lorey, J., Naumann, F.: Caching and Prefetching Strategies for SPARQL Queries. Proceedings of the 3rd International Workshop on Usage Analysis and the Web of Data (USEWOD). , Montpellier, France (2013).
     
  • Lacoste-Julien, S., Palla, K., Davies, A., Kasneci, G., Graepel, T., Ghahramani, Z.: SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases. Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2013).
     
  • Leich, M., Adamek, J., Schubotz, M., Heise, A., Rheinlander, A., Markl, V.: Applying Stratosphere for Big Data Analytics. Database Systems for Business, Technology, and Web (BTW) (2013).
     
  • Lorey, J.: Storing and Provisioning Linked Data as a Service. Proceedings of the 10th Extended Semantic Web Conference (ESWC). , Montpellier, France (2013).
     
  • Lorey, J., Naumann, F.: Caching and Prefetching Strategies for SPARQL Queries. ESWC 2013 Satellite Events -- Revised Selected Papers. , Montpellier, France (2013).
     
  • Albrecht, A., Naumann, F.: Systematic ETL Management – Experiences with High-Level Operators. Proceedings of the 18th International Conference on Information Quality (ICIQ). , Little Rock, AK (2013).
     
  • Abedjan, Z., Naumann, F.: Synonym Analysis for Predicate Expansion. Proceedings of the Extended Semantic Web Conference (ESWC), Montpellier, France (2013).
     
  • Jenders, M., Kasneci, G., Naumann, F.: Analyzing and Predicting Viral Tweets. Proceedings of the WWW '13 Companion: 22nd International World Wide Web Conference. , Rio de Janeiro, Brazil (2013).
     
  • Lorey, J.: SPARQL Endpoint Metrics for Quality-Aware Linked Data Consumption. Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS '13). , Vienna, Austria (2013).
     
  • Forchhammer, B., Papenbrock, T., Stening, T., Viehmeier, S., Draisbach, U., Naumann, F.: Duplicate Detection on GPUs. Proceedings of the 15th conference on Database Systems for Business, Technology, and Web (BTW). p. 165--184. , Magdeburg, Germany (2013).
     
  • Lorey, J., Naumann, F.: Detecting SPARQL Query Templates for Data Prefetching. Proceedings of the 10th Extended Semantic Web Conference (ESWC). , Montpellier, France (2013).
     
  • Naumann, F., Jenders, M., Papenbrock, T.: Ein Datenbankkurs mit 6000 Teilnehmern. Informatik-Spektrum. (2013).
     
  • Abedjan, Z., Naumann, F.: Improving RDF Data through Association Rule Mining. Datenbank-Spektrum (Special Issue on RDF Data Management). 13, 111--120 (2013).
     
  • Lange, D., Naumann, F.: Cost-Aware Query Planning for Similarity Search. Information Systems (IS). 38, 455--469 (2013).
     
  • Naumann, F.: Data Profiling Revisited. SIGMOD Record. 32, 40-49 (2013).
     
  • Momtazi, S., Naumann, F.: Topic modeling for expert finding using latent dirichlet allocation. WIREs Data Mining and Knowledge Discovery. 3, 346–353 (2013).
     
  • Rinser, D., Lange, D., Naumann, F.: Cross-lingual Entity Matching and Infobox Alignment in Wikipedia. Information Systems (IS). 38, 887–907 (2013).
     

2012

  • Draisbach, U., Naumann, F.: Adaptive Windows for Duplicate Detection. Hasso-Plattner-Institut für Softwaresystemtechnik an der Universität Potsdam (2012).
     
  • Bauckmann, J., Abedjan, Z., Leser, U., Müller, H., Naumann, F.: Covering or complete? : discovering conditional inclusion dependencies. Hasso-Plattner-Institut für Softwaresystemtechnik an der Universität Potsdam (2012).
     
  • Albrecht, A., Naumann, F.: Understanding Cryptic Schemata in Large Extract-Transform-Load Systems. Hasso-Plattner-Institut für Softwaresystemtechnik an der Universität Potsdam (2012).
     
  • Kasneci, G.: Reasoning about Knowledge from the Web - (Extended Abstract). ICWE Workshops. pp. 186-188. Springer (2012).
     
  • Abedjan, Z., Lorey, J., Naumann, F.: Reconciling Ontologies and the Web of Data. Proceedings of the 21st International Conference on Information and Knowledge Management (CIKM). pp. 1532-1536. , Maui, Hawaii, USA (2012).
     
  • Draisbach, U., Naumann, F., Szott, S., Wonneberg, O.: Adaptive Windows for Duplicate Detection. Proceedings of the 28th International Conference on Data Engineering (ICDE). , Washington, D.C., USA (2012).
     
  • Albrecht, A., Naumann, F.: Schema Decryption for Large Extract-Transform-Load Systems. Proceedings of the 31st International Conference on Conceptual Modeling (ER 2012). , Florence, Italy (2012).
     
  • Böhm, C., Hefenbrock, D., Naumann, F.: Scalable Peer-to-Peer-based RDF Management. Proceedings of the 8th Int. Conference on Semantic Systems. , Graz, Austria (2012).
     
  • Tafaj, E., Kasneci, G., Rosenstiel, W., Bogdan, M.: Bayesian online clustering of eye movement data. Proceedings of the 2012 Symposium on Eye-Tracking Research and Applications. pp. 285-288. ACM (2012).
     
  • Heise, A., Rheinländer, A., Leich, M., Leser, U., Naumann, F.: Meteor/Sopremo: An Extensible Query Language and Operator Model. Proceedings of the International Workshop on End-to-end Management of Big Data (BigData) in conjunction with VLDB 2012. , Istanbul, Turkey (2012).
     
  • Bauckmann, J., Abedjan, Z., Müller, H., Leser, U., Naumann, F.: Discovering Conditional Inclusion Dependencies. Proceedings of the International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii. pp. 2094-2098 (2012).
     
  • Köppelmann, M., Lange, D., Lehmann, C., Marszalkowski, M., Naumann, F., Retzlaff, P., Stange, S., Voget, L.: Scalable Similarity Search with Dynamic Similarity Measures. Proceedings of the 6th International Workshop on Ranking in Databases (DBRank) in conjunction with VLDB. , Istanbul, Turkey (2012).
     
  • Gruetze, T., Böhm, C., Naumann, F.: Holistic and Scalable Ontology Alignment for Linked Open Data. Proceedings of the 5th Linked Data on the Web (LDOW) Workshop at the 21th International World Wide Web Conference (WWW). , Lyon, France (2012).
     
  • Vogel, T., Naumann, F.: Automatic Blocking Key Selection for Duplicate Detection based on Unigram Combinations. Proceedings of the 10th International Workshop on Quality in Databases (QDB) in conjunction with VLDB (2012).
     
  • Böhm, C., Freitag, M., Heise, A., Lehmann, C., Mascher, A., Naumann, F., Hernandez, M., Ercegovac, V., Haase, P.: GovWILD: Integrating Open Government Data for Transparency (demo). Proceedings of the International World Wide Web Conference (WWW). , Lyon, France (2012).
     
  • Böhm, C., de Melo, G., Naumann, F., Weikum, G.: LINDA: Distributed Web-of-Data-Scale Entity Matching. Proceedings of the International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii (2012).
     
  • Momtazi, S.: Fine-grained German Sentiment Analysis on Social Media. Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC). , Istanbul, Turkey (2012).
     
  • Fenz, D., Lange, D., Rheinländer, A., Naumann, F., Leser, U.: Efficient Similarity Search in Very Large String Sets. Proceedings of the International Conference on Scientific and Statistical DatabaseManagement (SSDBM). , Chania, Crete, Greece (2012).
     
  • Böhm, C., Kasneci, G., Naumann, F.: Latent Topics in Graph-Structured Data. Proceedings of the Conference on Information and Knowledge Management (CIKM) (2012).
     
  • Draisbach, U.: Partitionierung zur effizienten Duplikaterkennung in relationalen Daten. Springer Vieweg (2012).
     
  • Herschel, M., Naumann, F., Szott, S., Taubert, M.: Scalable Iterative Graph Duplicate Detection. Transactions on Knowledge and Data Engineering (TKDE). 24, 2094-2108 (2012).
     
  • Heise, A., Naumann, F.: Integrating Open Government Data with Stratosphere for more Transparency. Web Semantics: Science, Services and Agents on the World Wide Web. 14, 45 - 56 (2012).
     
  • Beskales, G., Das, G., Elmagarmid, A.K., Ilyas, I.F., Naumann, F., Ouzzani, M., Papotti, P., Quiane-Ruiz, J., Tang, N.: The Data Analytics Group at the Qatar Computing Research Institute. SIGMOD Record. 41, (2012).
     
  • Abelló, A., Darmont, J., Etcheverry, L., Golfarelli, M., Mazón, J.-N., Naumann, F., Pedersen, T.B., Rizzi, S., Trujillo, J., Vassiliadis, P., Vossen, G.: Fusion Cubes: Towards Self-Service Business Intelligence. International Journal of Data Warehousing and Mining (IJDWM). 9, 66-88 (2012).
     

2011

  • Abedjan, Z., Naumann, F.: Advancing the Discovery of Unique Column Combinations. Hasso-Plattner-Institut für Softwaresystemtechnik an der Universität Potsdam (2011).
     
  • Draisbach, U., Naumann, F.: A Generalization of Blocking and Windowing Algorithms for Duplicate Detection. Proceedings of the International Conference on Data and Knowledge Engineering (ICDKE). , Milan, Italy (2011).
     
  • Abedjan, Z., Naumann, F.: Context and Target Configurations for Mining RDF Data. International Workshop on Search & Mining Entity-Relationship Data (SMER), Glasgow, UK (2011).
     
  • Lorey, J., Naumann, F., Forchhammer, B., Mascher, A., Retzlaff, P., ZamaniFarahani, A., Discher, S., Faehnrich, C., Lemme, S., Papenbrock, T., Peschel, R.C., Richter, S., Stening, T., Viehmeier, S.: Black Swan: Augmenting Statistics with Event Data. Proceedings of the 20th Conference on Information and Knowledge Management (CIKM). pp. 2517-2520. , Glasgow, UK (2011).
     
  • Lange, D., Naumann, F.: Frequency-aware Similarity Measures. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM). p. 243--248. , Glasgow, Scotland, UK (2011).
     
  • Lange, D., Naumann, F.: Efficient Similarity Search: Arbitrary Similarity Measures, Arbitrary Composition. Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM). p. 1679--1688. , Glasgow, Scotland, UK (2011).
     
  • Lorey, J., Abedjan, Z., Naumann, F., Böhm, C.: RDF Ontology (Re-)Engineering through Large-scale Data Mining. Billion Triples Challenge (BTC) at the 10th International Semantic Web Conference (ISWC). , Koblenz, Germany (2011).
     
  • Vogel, T., Naumann, F.: Instance-based "one-to-some" Assignment of Similarity Measures to Attributes. Proceedings of the 19th International Conference on Cooperative Information Systems (CoopIS) (2011).
     
  • Böhm, C., Kny, E., Emde, B., Abedjan, Z., Naumann, F.: SPRINT: ranking search results by paths. International Conference on Extending Database Technology (EDBT), Uppsala, Sweden. pp. 546-549 (2011).
     
  • AbuJarour, M., Naumann, F.: Improving Service Discovery through Enriched Service Descriptions. Datenbanksysteme für Business, Technologie und Web (BTW), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2.-4.3.2011 in Kaiserslautern, Germany. pp. 706-709 (2011).
     
  • Abedjan, Z., Naumann, F.: Advancing the Discovery of Unique Column Combinations. Proceedings of the International Conference on Information and Knowledge Management (CIKM), Glasgow, UK (2011).
     
  • Bleiholder, J., Naumann, F.: Kurz erklärt: Datenfusion. Datenbank-Spektrum. 11, 59-61 (2011).
     
  • Lange, D., Vogel, T., Draisbach, U., Naumann, F.: Projektseminar "Similarity Search Algorithms". Datenbank-Spektrum. 11, 51-57 (2011).
     
  • Böhm, C., Lorey, J., Naumann, F.: Creating voiD Descriptions for Web-scale Data. Journal of Web Semantics: Science, Services and Agents on the World Wide Web. 9, 339-345 (2011).
     
  • Bleiholder, J., Herschel, M., Naumann, F.: Eliminating NULLs with Subsumption and Complementation. IEEE Data Engineering Bulletin. 34, 18-25 (2011).
     

2010

  • Bauckmann, J., Leser, U., Naumann, F.: Efficient and Exact Computation of Inclusion Dependencies for Data Integration. Hasso-Plattner-Institut für Softwaresystemtechnik an der Universität Potsdam (2010).
     
  • Lange, D., Böhm, C., Naumann, F.: Extracting structured information from Wikipedia articles to populate infoboxes. Hasso-Plattner-Institut für Softwaresystemtechnik an der Universität Potsdam (2010).
     
  • Dong, X., Naumann, F. eds: Proceedings of the 13th International Workshop on the Web and Databases (WebDB), Indianapolis, IN. (2010).
     
  • Manolescu, I., Spaccapietra, S., Teubner, J., Kitsuregawa, M., Léger, A., Naumann, F., Ailamaki, A., Özcan, F. eds: Proceedings of the 13th International Conference on Extending Database Technology, Lausanne, Switzerland. ACM (2010).
     
  • AbuJarour, M., Naumann, F., Craculeac, M.: Collecting, Annotating, and Classifying Public Web Services. On the Move to Meaningful Internet Systems: OTM - Confederated International Conferences: CoopIS, IS, DOA and ODBASE, Hersonissos, Crete, Greece, Proceedings, Part I. pp. 256-272 (2010).
     
  • Böhm, C., Naumann, F., Abedjan, Z., Fenz, D., Gruetze, T., Hefenbrock, D., Pohl, M., Sonnabend, D.: Profiling linked open data with ProLOD. Workshops Proceedings of the 26th International Conference on Data Engineering (ICDE), Long Beach, CA. pp. 175-178 (2010).
     
  • Vogel, T.: Self-Adaptive Data Quality Web Services. Grundlagen von Datenbanken. , Bad Helmstedt (2010).
     
  • Lorey, J., Naumann, F.: Towards Granular Data Placement Strategies for Cloud Platforms. Proceedings of the 6th International Conference on Granular Computing (GrC). pp. 346-351. , San Jose, California, USA (2010).
     
  • AbuJarour, M., Naumann, F.: Towards a diamond SOA operational model. IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2010, 13-15 December 2010, Perth, Australia. pp. 1-4 (2010).
     
  • Bleiholder, J., Szott, S., Herschel, M., Kaufer, F., Naumann, F.: Subsumption and complementation as data fusion operators. Proceedings of the International Conference on Extending Database Technology (EDBT). pp. 513-524. , Lausanne, Switzerland (2010).
     
  • AbuJarour, M., Naumann, F.: Dynamic tags for dynamic data web services. Proceedings of the 5th Workshop on Emerging Web Services Technology (WEWST), Ayia Napa, Cyprus, Greecc. pp. 3-9 (2010).
     
  • Brauer, F., Huber, M., Hackenbroich, G., Leser, U., Naumann, F., Barczynski, W.M.: Graph-based concept identification and disambiguation for enterprise search. Proceedings of the 19th International Conference on World Wide Web (WWW). pp. 171-180. , Raleigh, NC (2010).
     
  • Lange, D., Böhm, C., Naumann, F.: Extracting structured information from Wikipedia articles to populate infoboxes. Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM). pp. 1661-1664. , Toronto, Canada (2010).
     
  • Draisbach, U., Naumann, F.: DuDe: The Duplicate Detection Toolkit. Proceedings of the International Workshop on Quality in Databases (QDB). , Singapore (2010).
     
  • Böhm, C., Naumann, F., Freitag, M., George, S., Höfler, N., Köppelmann, M., Lehmann, C., Mascher, A., Schmidt, T.: Linking open government data: what journalists wish they had known. Proceedings the 6th International Conference on Semantic Systems (I-SEMANTICS), Graz, Austria (2010).
     
  • Böhm, C., Lorey, J., Fenz, D., Kny, E., Pohl, M., Naumann, F.: Creating voiD Descriptions for Web-Scale Data. Billion Triples Challenge (BTC) at the 9th International Semantic Web Conference (ISWC). , Shanghai, China (2010).
     
  • Bleiholder, J., Szott, S., Herschel, M., Naumann, F.: Complement union for data integration. Proceedings of the International Conference on Data Engineering Workshops, (ICDE NTII workshop). pp. 183-186. , Long Beach, CA (2010).
     
  • Naumann, F., Herschel, M.: An Introduction to Duplicate Detection. Morgan & Claypool Publishers (2010).
     
  • Dong, X.L., Naumann, F.: 13th international workshop on the web and databases: WebDB 2010. SIGMOD Record. 39, 37-39 (2010).
     

2009

  • AbuJarour, M., Craculeac, M., Menge, F., Vogel, T., Schwarz, J.-F.: POSR: A Comprehensive System for Aggregating and Using Web Services (demo). Proceedings of the IEEE Services Cup 2009 at IEEE International Conference on Web Services (ICWS) (2009).
     
  • Rostin, A., Albrecht, O., Bauckmann, J., Naumann, F., Leser, U.: A Machine Learning Approach to Foreign Key Discovery. Proceedings of the International Workshop on the Web and Databases (WebDB). , Providence, RI (2009).
     
  • Draisbach, U., Naumann, F.: A Comparison and Generalization of Blocking and Windowing Algorithms for Duplicate Detection. Proceedings of the International Workshop on Quality in Databases (QDB). , Lyon, France (2009).
     
  • Albrecht, A., Naumann, F.: METL: Managing and Integrating ETL Processes. Proceedings of the VLDB PhD Workshop. Co-located with the 35th International Conference on Very Large Data Bases (VLDB), Lyon, France (2009).
     
  • Böhm, C., Groth, P., Leser, U.: Graph-Based Ontology Construction from Heterogenous Evidences. Proceedings of the International Semantic Web Conference (ISWC). pp. 91-96 (2009).
     
  • Vogel, T., Kaufer, F., Naumann, F.: Encapsulating Multi-stepped Web Forms as Web Services. Proceedings of the 7th International Conference on Service-Oriented Computing (ICSOC). pp. 488-497 (2009).
     
  • Naumann, F., Raschid, L.: Guest Editorial for the Special Issue on Data Quality in Databases. Journal on Data and Information Quality (JDIQ). 1, (2009).
     
  • Dong, X.L., Naumann, F.: Data fusion - Resolving Data Conflicts for Integration (tutorial). Proceedings of the VLDB. 2, 1654-1655 (2009).
     

2008

  • Herschel, M., Naumann, F.: Scaling up duplicate detection in graph data. Proceedings of the ACM Conference on Information and Knowledge Management (CIKM). pp. 1325-1326. , Napa Valley, CA (2008).
     
  • Jacob, M., Kuscher, A., Thiele, C., Plauth, M.: Automated data augmentation services using text mining, data cleansing and web crawling techniques. IEEE Congress on Services (2008).
     
  • Albrecht, A., Naumann, F.: Managing ETL Processes. Proceedings of the International Workshop on New Trends in Information Integration, (NTII), Auckland, New Zealand. pp. 12-15 (2008).
     
  • Weis, M., Naumann, F., Jehle, U., Lufter, J., Schuster, H.: Industry-scale duplicate detection. Proceedings of the VLDB. 1, 1253-1264 (2008).
     
  • Hose, K., Roth, A., Zeitz, A., Sattler, K.-U., Naumann, F.: A research agenda for query processing in large-scale peer data management systems. Information Systems (IS). 33, 597-610 (2008).
     
  • Bleiholder, J., Naumann, F.: Data fusion. ACM Computing Surveys. 41, (2008).
     

2007

  • Ganti, V., Naumann, F. eds: Proceedings of the Fifth International Workshop on Quality in Databases (QDB). , Vienna, Austria (2007).
     
  • Naumann, F.: Schema- und Metadatenmanagement in Peer Data Management Systemen. Datenbanksysteme in Business, Technologie und Web (BTW), Workshop Proceedings. p. 3. , Aachen, Germany (2007).
     
  • Bauckmann, J., Leser, U., Naumann, F., Tietz, V.: Efficiently Detecting Inclusion Dependencies. Proceedings of the International Conference on Data Engineering (ICDE). pp. 1448-1450. , Istanbul, Turkey (2007).
     
  • Bleiholder, J., Draba, K., Naumann, F.: FuSem - Exploring Different Semantics of Data Fusion (demo). Proceedings of the International Conference on Very Large Data Bases (VLDB). pp. 1350-1353. , Vienna, Austria (2007).
     
  • Führing, P., Naumann, F.: Emergent Data Quality Annotation And Visualization. Proceedings of the International Conference on Information Quality (ICIQ). pp. 424-430. , Cambridge, MA (2007).
     
  • Legler, F., Naumann, F.: A Classification of Schema Mappings and Analysis of Mapping Tools. Proceedings of Datenbanksysteme in Business, Technologie und Web (BTW). pp. 449-464. , Aachen, Germany (2007).
     
  • Roth, A., Naumann, F.: System P: Completeness-driven Query Answering in Peer Data Management Systems (demo). Datenbanksysteme in Business, Technologie und Web (BTW), Aachen, Germany. pp. 625-628 (2007).
     
  • Raschid, L., Vidal, M.E., Wu, Y., Naumann, F., Bleiholder, J.: Answering Top K Queries Efficiently with Overlap of Answers in Sources or Source Paths. Proceedings of the International Workshop on Information Integration on the Web (IIWeb) (2007).
     
  • Albrecht, A., Naumann, F.: Networked PIM using PDMS. Proceedings of the International Workshop Networking Meets Databases (NetDB) (2007).
     
  • Hipp, J., Müller, M., Hohendorff, J., Naumann, F.: Rule-Based Measurement Of Data Quality In Nominal Data. Proceedings of the International Conference on Information Quality (ICIQ). pp. 364-378. , Cambridge, MA (2007).
     
  • Naumann, F.: Datenqualität. Informatik Spektrum. 30, 27-31 (2007).
     
  • Naumann, F., Roth, A.: Peer-Daten-Management-Systeme - PDMS. Datenbank Spektrum. 23, (2007).
     

2006

  • Leser, U., Naumann, F., Eckman, B.A. eds: Proceedings of the Data Integration in the Life Sciences Workshop (DILS). Springer (2006).
     
  • Hegewald, J., Naumann, F., Weis, M.: XStruct: Efficient Schema Extraction from Multiple and Large XML Documents. Proceedings of the International Conference on Data Engineering Workshops (ICDE), InterDB workshop. p. 81. , Atlanta, GA (2006).
     
  • Bauckmann, J., Leser, U., Naumann, F.: Efficiently Computing Inclusion Dependencies for Schema Discovery. Proceedings of the International Conference on Data Engineering Workshops (ICDE workshops). , Atlanta, GA (2006).
     
  • Bleiholder, J., Naumann, F.: Conflict Handling Strategies in an Integrated Information System. Proceedings of the International Workshop on Information Integration on the Web (IIWeb). , Edinburgh, UK (2006).
     
  • Roth, A., Naumann, F., Hübner, T., Schweigert, M.: System P: Query Answering in PDMS under Limited Resources. Proceedings of the International Workshop on Information Integration on the Web (IIWeb). , Edinburgh, Scotland (2006).
     
  • Puhlmann, S., Weis, M., Naumann, F.: XML Duplicate Detection Using Sorted Neighborhoods. Proceedings of the International Conference on Extending Database Technology (EDBT), Munich, Germany. pp. 773-791 (2006).
     
  • Weis, M., Naumann, F.: Detecting Duplicates in Complex XML Data. Proceedings of the International Conference on Data Engineering (ICDE) Atlanta, GA. p. 109 (2006).
     
  • Biswas, J., Naumann, F., Qiu, Q.: Assessing the Completeness of Sensor Data. Proceedings of the International Conference on Database Systems for Advanced Applications (DASFAA). pp. 717-732. , Singapore (2006).
     
  • Bleiholder, J., Khuller, S., Naumann, F., Raschid, L., Wu, Y.: Query Planning in the Presence of Overlapping Sources. Proceedings of the International Conference on Extending Database Technology (EDBT). pp. 811-828. , Munich, Germany (2006).
     
  • Naumann, F., Roth, M.: Information Quality: How Good are Off-the-Shelf DBMS? In: Al-Hakim, L. (ed.) Information Quality Management: Theory and Applications. Idea Group Inc. (2006).
     
  • Leser, U., Naumann, F.: Informationsintegration: Architekturen und Methoden zur Integration verteilter und heterogener Datenquellen. dpunkt (2006).
     
  • Naumann, F., Bilke, A., Bleiholder, J., Weis, M.: Data Fusion in Three Steps: Resolving Schema, Tuple, and Value Inconsistencies. IEEE Data Engineering Bulletin. 29, 21-31 (2006).
     

2005

  • Höpfner, H., Saake, G., Naumann, F., Heuer, A. eds: Beitragsband zum Studierenden-Programm bei der 11. Fachtagung "Datenbanken für Business, Technologie and Web", GI Fachbereich Datenbanken und Informationssysteme, Karlsruhe. Universität Magdeburg, Fakultät für Informatik (2005).
     
  • Naumann, F., Gertz, M., Madnick, S.E. eds: Proceedings of the 2005 International Conference on Information Quality (MIT IQ Conference), Sponsored by Lockheed Martin, MIT, Cambridge, MA, USA, November 10-12, 2006. MIT (2005).
     
  • Saake, G., Sattler, K.-U., Naumann, F. eds: Datenbankspektrum - Daten- und Informationsqualität. dpunkt.verlag, Heidelberg (2005).
     
  • Leser, U., Naumann, F.: (Almost) Hands-Off Information Integration for the Life Sciences. Proceedings of the International Conference on Innovative Database Research (CIDR). pp. 131-143. , Asilomar, CA (2005).
     
  • Bilke, A., Bleiholder, J., Böhm, C., Draba, K., Naumann, F., Weis, M.: Automatic Data Fusion with HumMer (demo). Proceedings of the International Conference on Very Large Data Bases (VLDB). pp. 1251-1254. , Trondheim, Norway (2005).
     
  • Mihaila, G.A., Naumann, F., Raschid, L., Vidal, M.-E.: A Data Model and Query Language to Explore Enhanced Links and Paths in Life Science Sources. Proceedings of the International Workshop on the Web & Databases (WebDB). pp. 133-138. , Baltimore, MD (2005).
     
  • Heese, R., Herschel, S., Naumann, F., Roth, A.: Self-Extending Peer Data Management. Datenbanksysteme in Business, Technologie und Web (BTW), Karlsruhe, Germany. pp. 165-174 (2005).
     
  • Bleiholder, J., Naumann, F.: Declarative Data Fusion - Syntax, Semantics, and Implementation. Proceedings of the International Conference on Advances in Databases and Information Systems (ADBIS). pp. 58-73. , Tallinn, Estonia (2005).
     
  • Weis, M., Naumann, F., Brosy, F.: A Duplicate Detection Benchmark for XML (and Relational) Data. Proceedings of the SIGMOD International Workshop on Information Quality for Information Systems (IQIS) (2005).
     
  • Heymann, S., Naumann, F., Rieger, P., Raschid, L.: Enhancing the Semantics of Links and Paths in Life Science Sources. ICDT Workshop on Database Issues in Biological Databases (DBiBD). , Edinburgh, Scotland (2005).
     
  • Weis, M., Naumann, F.: DogmatiX Tracks down Duplicates in XML. Proceedings of the ACM International Conference on Management of Data (SIGMOD), Baltimore, MD. pp. 431-442 (2005).
     
  • Roth, A., Naumann, F.: Benefit and Cost of Query Answering in PDMS. Proceedings of the Databases, Information Systems, and Peer-to-Peer Computing Workshop (DBISP2P) Seoul, Korea. pp. 50-61 (2005).
     
  • Weis, M.: Fuzzy Duplicate Detection on XML Data. Proceedings of the VLDB PhD workshop (2005).
     
  • Bilke, A., Naumann, F.: Schema Matching using Duplicates. Proceedings of the International Conference on Data Engineering (ICDE). pp. 69-80. , Tokyo, Japan (2005).
     
  • Hernández, M.A., Popa, L., Ho, H., Naumann, F.: Clio: A Schema Mapping Tool for Information Integration. Proceedings of the International Symposium on Parallel Architectures, Algorithms, and Networks (ISPAN). , Las Vegas, Nevada (2005).
     
  • Mielke, M., Müller, H., Naumann, F.: Ein Data-Quality-Wettbewerb. Datenbank-Spektrum. 14, 34-37 (2005).
     

2004

  • Lacroix, Z., Murthy, H., Naumann, F., Raschid, L.: Links and Paths through Life Sciences Data Sources. Humboldt-Universität zu Berlin, Institut für Informatik (2004).
     
  • Naumann, F.: Informationsintegration. Öffentliche Vorlesung an der Humboldt-Universität zu Berlin (2004).
     
  • Naumann, F., Scannapieco, M. eds: Proceedings of the International Workshop on Information Quality in Information Systems (SIGMOD Workshop). ACM, Paris, France (2004).
     
  • Weis, M., Naumann, F.: Detecting Duplicate Objects in XML Documents. International Workshop on Information Quality in Information Systems (IQIS). pp. 10-19 (2004).
     
  • Heymann, S., Naumann, F., Raschid, L., Rieger, P.: Labeling and Enhancing Life Sciences Links. Proceedings of the International IEEE Computer Society Computational Systems Bioinformatics Conference (CSB). pp. 598-599. , Stanford, CA (2004).
     
  • Bleiholder, J., Naumann, F., Raschid, L., Vidal, M.E.: Querying Web-Accessible Life Science Sources: Which paths to choose? Proceedings of the International Workshop on Information Integration on the Web (IIWeb) (2004).
     
  • Bleiholder, J., Naumann, F.: FUSE BY: Syntax und Semantik zur Informationsfusion in SQL. INFORMATIK, Band 1, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI). pp. 331-335. , Ulm, Germany (2004).
     
  • Naumann, F., Roth, M.: Information Quality: How Good Are Off-The-Shelf DBMS? Proceedings of the International Conference on Information Quality (ICIQ), Cambridge, MA. pp. 260-274 (2004).
     
  • Lacroix, Z., Murthy, H., Naumann, F., Raschid, L.: Links and Paths through Life Sciences Data Sources. Proceedings of the International WorkshopData Integration in the Life Sciences (DILS). pp. 203-211. , Leipzig, Germany (2004).
     
  • Roth, A., Naumann, F.: Qualitäts- und Semantik-gesteuerte Anfragebearbeitung für Peer-basierte Datenmanagementsysteme (PDMS). INFORMATIK 2004 - Band 1, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI), Ulm, Germany. pp. 341-345 (2004).
     
  • Bleiholder, J., Lacroix, Z., Murthy, H., Naumann, F., Raschid, L., Vidal, M.-E.: BioFast: Challenges in Exploring Linked Life Science Sources. SIGMOD Record. 33, 72-77 (2004).
     
  • Naumann, F., Freytag, J.C., Leser, U.: Completeness of integrated information sources. Information Systems (IS). 29, 583-615 (2004).
     
  • Naumann, F., Bleiholder, J., Weis, M.: Eine Übung zur Vorlesung Informationsintegration. Datenbank Spektrum. 11, 50-52 (2004).
     

2003

  • Lacroix, Z., Naumann, F., Raschid, L., Vidal, M.-E.: Exploring Life Sciences Data Sources. Proceedings of Workshop on Information Integration on the Web (IIWeb). pp. 203-208. , Acapulco, Mexico (2003).
     
  • Naumann, F., Freytag, J.-C., Leser, U.: Completeness of Information Sources. Proceedings of the International Workshop on Data Quality in Cooperative Information Systsems (DQCIS). , Siena, Italy (2003).
     
  • Naumann, F., Capiello, C., Kashyap, V., Saake, G.: Information Quality Assessment and Measurement. Data Quality on the Web (2003).
     
  • Müller, H., Naumann, F.: Data Quality in Genome Databases. Proceedings of the International Conference on Information Quality (ICIQ). pp. 269-284. , Cambridge, MA (2003).
     
  • Neiling, M., Jurk, S., Lenz, H.-J., Naumann, F.: Object Identification Quality. Proceedings of the International Workshop on Data Quality in Cooperative Information Systsems (DQCIS). , Siena, Italy (2003).
     
  • Josifovski, V., Massmann, S., Naumann, F.: Super-Fast XML Wrapper Generation in DB2: A Demonstration. Proceedings of the International Conference on Data Engineering (ICDE). pp. 756-758. , Bangalore, India (2003).
     
  • Löser, A., Naumann, F., Siberski, W., Nejdl, W., Thaden, U.: Semantic Overlay Clusters within Super-Peer Networks. First International Workshop on Databases, Information Systems, and Peer-to-Peer Computing (DBISP2P). pp. 33-47. , Berlin, Germany (2003).
     
  • Naumann, F.: Qualitätsgesteuerte Anfragebearbeitung für Integrierte Informationssysteme. it - Information Technology. 45, 55-58 (2003).
     

2002

  • Naumann, F., Ho, C.-T., Tian, X., Haas, L., Megiddo, N.: Attribute Classification Using Feature Analysis. IBM Almaden Research Center (2002).
     
  • Hernández, M.A., Popa, L., Velegrakis, Y., Miller, R.J., Naumann, F., Ho, C.-T.: Mapping XML and Relational Schemas with Clio (demo). Proceedings of the International Conference on Data Engineering (ICDE). pp. 498-499. , San Jose, CA (2002).
     
  • Naumann, F., Häussler, M.: Declarative Data Merging with Conflict Resolution. Proceedings of the International Conference on Information Quality (ICIQ). pp. 212-224. , Cambridge, MA (2002).
     
  • Naumann, F., Ho, C.-T., Tian, X., Haas, L.M., Megiddo, N.: Attribute Classification Using Feature Analysis. Proceedings of the International Conference on Data Engineering (ICDE). p. 271. , San Jose, CA (2002).
     
  • Eckman, B., Hernandez, M., Ho, H., Naumann, F., Popa, L.: Schema Mapping and Data Integration with Clio (demo). Intelligent Systems for Molecular Biology (ISMB).