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Thomas Rölleke
Thomas Roelleke
2010 – today
- 2012
[c41]Miguel Martinez-Alvarez, Sirvan Yahyaei, Thomas Roelleke: Semi-automatic Document Classification: Exploiting Document Difficulty. ECIR 2012: 468-471
[c40]Marco Bonzanini, Miguel Martinez-Alvarez, Thomas Roelleke: Investigating the Use of Extractive Summarisation in Sentiment Classification. IIR 2012: 45-52
[c39]Marco Bonzanini, Miguel Martinez-Alvarez, Thomas Roelleke: Opinion summarisation through sentence extraction: an investigation with movie reviews. SIGIR 2012: 1121-1122
[c38]
[c37]Hany Azzam, Sirvan Yahyaei, Marco Bonzanini, Thomas Roelleke: A schema-driven approach for knowledge-oriented retrieval and query formulation. KEYS 2012: 39-46- 2011
[c36]Hany Azzam, Thomas Roelleke, Sirvan Yahyaei: Ranking-based processing of SQL queries. CIKM 2011: 231-236
[c35]Miguel Martinez-Alvarez, Thomas Roelleke: A Descriptive Approach to Classification. ICTIR 2011: 297-308
[c34]Hany Azzam, Thomas Roelleke: A Generic Data Model for Schema-Driven Design in Information Retrieval Applications. ICTIR 2011: 323-326
[c33]Fabrizio Smeraldi, Miguel Martinez-Alvarez, Ingo Frommholz, Thomas Roelleke: On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR. IIR 2011
[c32]Sirvan Yahyaei, Marco Bonzanini, Thomas Roelleke: Cross-Lingual Text Fragment Alignment Using Divergence from Randomness. SPIRE 2011: 14-25- 2010
[c31]
[c30]Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen: Recent Developments in Information Retrieval. ECIR 2010: 1-9
[c29]Iraklis A. Klampanos, Hengzhi Wu, Thomas Roelleke, Hany Azzam: Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data. IRFC 2010: 100-119
[c28]Miguel Martinez-Alvarez, Thomas Roelleke: Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog. SUM 2010: 278-291
[e1]Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rüger, Keith van Rijsbergen (Eds.): Advances in Information Retrieval, 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010. Proceedings. Lecture Notes in Computer Science 5993, Springer 2010, ISBN 978-3-642-12274-3
2000 – 2009
- 2009
[j11]Daniel Blank, Norbert Fuhr, Andreas Henrich, Thomas Mandl, Thomas Rölleke, Hinrich Schütze, Benno Stein: Information Retrieval: Concepts and Practical Considerations for Teaching a Rising Topic. Datenbank-Spektrum 29: 30-41 (2009)
[c27]Jan Frederik Forst, Anastasios Tombros, Thomas Rölleke: Less Is More: Maximal Marginal Relevance as a Summarisation Feature. ICTIR 2009: 350-353
[c26]Hengzhi Wu, Thomas Roelleke: Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification. ICTIR 2009: 375-379
[r1]Thomas Roelleke, Jun Wang, Stephen Robertson: Probabilistic Retrieval Models and Binary Independence Retrieval (BIR) Model. Encyclopedia of Database Systems 2009: 2156-2160- 2008
[j10]Sihem Amer-Yahia, Djoerd Hiemstra, Thomas Roelleke, Divesh Srivastava, Gerhard Weikum: DB&IR integration: report on the dagstuhl seminar. SIGIR Forum 42(2): 84-89 (2008)
[j9]Sihem Amer-Yahia, Djoerd Hiemstra, Thomas Roelleke, Divesh Srivastava, Gerhard Weikum: DB&IR integration: report on the Dagstuhl seminar "ranked XML querying". SIGMOD Record 37(3): 46-49 (2008)
[j8]Thomas Rölleke, Hengzhi Wu, Jun Wang, Hany Azzam: Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes. VLDB J. 17(1): 5-37 (2008)
[c25]Thomas Roelleke, Jun Wang: TF-IDF uncovered: a study of theories and probabilities. SIGIR 2008: 435-442- 2007
[c24]Jan Frederik Forst, Thomas Roelleke, Anastasios Tombros: Modelling a Summarisation Logic in Probabilistic Datalog. LWA 2007: 221-228- 2006
[j7]Thomas Rölleke, Theodora Tsikrika, Gabriella Kazai: A general matrix framework for modelling Information Retrieval. Inf. Process. Manage. 42(1): 4-30 (2006)
[c23]
[c22]Thomas Rölleke, Jun Wang: A parallel derivation of probabilistic information retrieval models. SIGIR 2006: 107-114
[c21]Jan Frederik Forst, Anastasios Tombros, Thomas Rölleke: Solving the Enterprise TREC Task with Probabilistic Data Models. TREC 2006- 2005
[j6]Sihem Amer-Yahia, Pat Case, Thomas Rölleke, Jayavel Shanmugasundaram, Gerhard Weikum: Report on the DB/IR panel at SIGMOD 2005. SIGMOD Record 34(4): 71-74 (2005)
[c20]Arjen P. de Vries, Thomas Rölleke: Relevance information: a loss of entropy but a gain for IDF? SIGIR 2005: 282-289
[c19]Thomas Roelleke, Elham Ashoori, Hengzhi Wu, Zhen Cai: The QMUL Team with Probabilistic SQL at Enterprise Track. TREC 2005- 2004
[j5]Ricardo A. Baeza-Yates, Yoëlle S. Maarek, Thomas Rölleke, Arjen P. de Vries: Third edition of the "XML and information retrieval" workshop first workshop on integration of IR and DB (WIRD) jointly held at SIGIR'2004, Sheffield, UK, July 29th, 2004. SIGIR Forum 38(2): 24-30 (2004)
[c18]Mounia Lalmas, Thomas Rölleke: Modelling Vague Content and Structure Querying in XML Retrieval with a Probabilistic Object-Relational Framework. FQAS 2004: 432-445
[c17]Zoltán Szlávik, Thomas Rölleke: Building and Experimenting with a Heterogeneous Collection. INEX 2004: 349-357- 2003
[j4]Mounia Lalmas, Thomas Rölleke: Four-Valued Knowledge Augmentation for Structured Document Retrieval. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(1): 67-86 (2003)
[c16]Thomas Rölleke: A frequency-based and a poisson-based definition of the probability of being informative. SIGIR 2003: 227-234- 2002
[j3]Alan Pearmain, Mounia Lalmas, Ekaterina Moutogianni, Damien Papworth, Pat Healey, Thomas Rölleke: Using MPEG-7 at the Consumer Terminal in Broadcasting. EURASIP J. Adv. Sig. Proc. 2002(4): 354-361 (2002)
[c15]Thomas Rölleke, Mounia Lalmas, Gabriella Kazai, Ian Ruthven, Stefan Quicker: The Accessibility Dimension for Structured Document Retrieval. ECIR 2002: 284-302
[c14]Gabriella Kazai, Thomas Rölleke: A Scalable Architecture for XML Retrieval. INEX Workshop 2002: 49-56
[c13]Mounia Lalmas, Thomas Rölleke: Four-Valued Knowledge Augmentation for Representing Structured Documents. ISMIS 2002: 158-166
[c12]Gabriella Kazai, Mounia Lalmas, Thomas Rölleke: Focussed Structured Document Retrieval. SPIRE 2002: 241-247- 2001
[c11]
[c10]Gabriella Kazai, Mounia Lalmas, Thomas Rölleke: A Model for the Representation and Focussed Retrieval of Structured Documents Based on Fuzzy Aggregation. SPIRE 2001: 123-135- 2000
[c9]Mounia Lalmas, Thomas Rölleke, Frank Turra, Norbert Fuhr: Concepts for a Graphical User Interface for Hypermedia Retrieval. FQAS 2000: 301-314
1990 – 1999
- 1999
[j2]David W. Embley, Norbert Fuhr, Claus-Peter Klas, Thomas Rölleke: Ontology Suitability for Uncertain Extraction of Information from Multi-Record Web Documents. Datenbank Rundbrief 24: 48-53 (1999)- 1998
[c8]Norbert Fuhr, Thomas Rölleke: HySpirit - A Probabilistic Inference Engine for Hypermedia Retrieval in Large Databases. EDBT 1998: 24-38
[c7]Thomas Rölleke, Norbert Fuhr: Querying for Facts and Content in Hypermedia Documents. FQAS 1998: 320-328
[c6]Norbert Fuhr, Norbert Gövert, Thomas Rölleke: DOLORES: A System for Logic-Based Retrieval of Multimedia Objects. SIGIR 1998: 257-265- 1997
[j1]Norbert Fuhr, Thomas Rölleke: A Probabilistic Relational Algebra for the Integration of Information Retrieval and Database Systems. ACM Trans. Inf. Syst. 15(1): 32-66 (1997)
[c5]
[c4]Thomas Rölleke, Norbert Fuhr: Retrieving Complex Objects with HySpirit. BCS-IRSG Annual Colloquium on IR Research 1997
[c3]Thomas Rölleke, Markus Blömer: Probabilistic Logical Information Retrieval for Content, Hypertext, and Database Querying. HIM 1997: 147-160- 1996
[c2]Thomas Rölleke, Norbert Fuhr: Retrieval of Complex Objects Using a Four-Valued Logic. SIGIR 1996: 206-214- 1994
[c1]Thomas Rölleke, Norbert Fuhr: Eine probabilistische relationale Algebra zur Modellierung von Unsicherheit und Vagheit in Datenbanken. Grundlagen von Datenbanken 1994: 107-111
Coauthor Index
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last updated on 2013-04-11 18:43 CEST by the dblp team



