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ORCIDThomas Roelleke
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- affiliation: Queen Mary University of London, School of Engineering and Computer Science
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2020 – today
- 2024
[j15]Tuomas Ketola, Thomas Roelleke:
Document structure-driven investigative information retrieval. Inf. Syst. 121: 102315 (2024)- 2023
- [c57]Tuomas Ketola, Thomas Roelleke:
Automatic and Analytical Field Weighting for Structured Document Retrieval. ECIR (1) 2023: 489-503 - 2022
- [c56]Tuomas Ketola, Thomas Roelleke:
Formal Constraints for Structured Document Retrieval. ICTIR 2022: 121-126 - 2021
- [c55]Mohammad Bahrani, Thomas Roelleke:
ADOR: A New Medical Dataset for Sentiment-based IR. CIKM Workshops 2021 - [c54]Mohammad Bahrani, Thomas Roelleke:
Opinion-Aware Retrieval Models Based on Sentiment and Intensity of Lexical Features. MMBD/MLIS 2021: 24-31 - 2020
- [c53]Mohammad Bahrani, Thomas Roelleke:
FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking. CIKM 2020: 1957-1960 - [c52]Tuomas Ketola, Thomas Roelleke:
BM25-FIC: Information Content-based Field Weighting for BM25F. BIRDS@SIGIR 2020: 79-85
2010 – 2019
- 2018
- [j14]Aldo Lipani
, Thomas Roelleke, Mihai Lupu, Allan Hanbury:
A systematic approach to normalization in probabilistic models. Inf. Retr. J. 21(6): 565-596 (2018) - [r2]Thomas Roelleke, Jun Wang, Stephen Robertson:
Probabilistic Retrieval Models and Binary Independence Retrieval (BIR) Model. Encyclopedia of Database Systems (2nd ed.) 2018 - 2016
- [j13]Ingo Frommholz, Thomas Roelleke:
Scalable DB+IR Technology: Processing Probabilistic Datalog with HySpirit. Datenbank-Spektrum 16(1): 39-48 (2016) - 2015
- [j12]Thomas Roelleke, Andreas Kaltenbrunner, Ricardo Baeza-Yates:
Harmony Assumptions in Information Retrieval and Social Networks. Comput. J. 58(11): 2982-2999 (2015) - [c51]Dmitrijs Milajevs, Mehrnoosh Sadrzadeh, Thomas Roelleke:
IR meets NLP: On the Semantic Similarity between Subject-Verb-Object Phrases. ICTIR 2015: 231-240 - 2013
- [b2]Thomas Roelleke:
Information Retrieval Models: Foundations & Relationships. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2013, ISBN 9781627050784, pp. 1-163 - [c50]Miguel Martinez-Alvarez, Alejandro Bellogín, Thomas Roelleke:
Document Difficulty Framework for Semi-automatic Text Classification. DaWaK 2013: 110-121 - [c49]Thomas Roelleke:
IR Models: Foundations and Relationships. ICTIR 2013: 4 - [c48]Miguel Martinez-Alvarez, Marco Bonzanini, Thomas Roelleke:
Mathematical Specification and Logic Modelling in the context of IR. ICTIR 2013: 30 - [c47]Thomas Roelleke, Hany Azzam, Marco Bonzanini, Miguel Martinez-Alvarez, Mounia Lalmas:
The D2Q2 Framework: On the Relationship and Combination of Language Modelling and TF-IDF. LWA 2013: 33-40 - [c46]Marco Bonzanini, Miguel Martinez-Alvarez, Thomas Roelleke:
Extractive summarisation via sentence removal: condensing relevant sentences into a short summary. SIGIR 2013: 893-896 - [c45]Thomas Roelleke, Marco Bonzanini, Miguel Martinez-Alvarez:
On the modelling of ranking algorithms in probabilistic datalog. DBRank@VLDB 2013: 4:1-4:6 - 2012
- [c44]Miguel Martinez-Alvarez, Sirvan Yahyaei, Thomas Roelleke:
Semi-automatic Document Classification: Exploiting Document Difficulty. ECIR 2012: 468-471 - [c43]Marco Bonzanini, Miguel Martinez-Alvarez, Thomas Roelleke:
Investigating the Use of Extractive Summarisation in Sentiment Classification. IIR 2012: 45-52 - [c42]Marco Bonzanini, Miguel Martinez-Alvarez, Thomas Roelleke:
Opinion summarisation through sentence extraction: an investigation with movie reviews. SIGIR 2012: 1121-1122 - [c41]Thomas Roelleke:
IR models: foundations and relationships. SIGIR 2012: 1187-1188 - [c40]Hany Azzam, Sirvan Yahyaei, Marco Bonzanini, Thomas Roelleke:
A schema-driven approach for knowledge-oriented retrieval and query formulation. KEYS 2012: 39-46 - 2011
- [c39]Hany Azzam, Thomas Roelleke, Sirvan Yahyaei:
Ranking-based processing of SQL queries. CIKM 2011: 231-236 - [c38]Miguel Martinez-Alvarez, Thomas Roelleke:
A Descriptive Approach to Classification. ICTIR 2011: 297-308 - [c37]Hany Azzam, Thomas Roelleke:
A Generic Data Model for Schema-Driven Design in Information Retrieval Applications. ICTIR 2011: 323-326 - [c36]Fabrizio Smeraldi, Miguel Martinez-Alvarez, Ingo Frommholz, Thomas Roelleke:
On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR. IIR 2011 - [c35]Sirvan Yahyaei, Marco Bonzanini, Thomas Roelleke:
Cross-Lingual Text Fragment Alignment Using Divergence from Randomness. SPIRE 2011: 14-25 - [p3]Daniel Blank, Norbert Fuhr, Andreas Henrich, Thomas Mandl, Thomas Rölleke, Hinrich Schütze, Benno Stein:
Teaching IR: Curricular Considerations. Teaching and Learning in Information Retrieval 2011: 31-46 - [p2]Hany Azzam, Iraklis A. Klampanos, Thomas Roelleke:
Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search. Current Challenges in Patent Information Retrieval 2011: 181-195 - 2010
- [c34]Hany Azzam, Thomas Roelleke:
SQR: a semantic query rating scheme. ESAIR 2010: 21-22 - [c33]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 - [c32]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 - [c31]Hany Azzam, Thomas Roelleke:
An Attribute-based Model for Semantic Retrieval. LWA 2010: 175-182 - [c30]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:
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 [contents]
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 9(29): 30-41 (2009) - [c29]Iraklis A. Klampanos, Hany Azzam, Thomas Roelleke:
A case for probabilistic logic for scalable patent retrieval. PaIR@CIKM 2009: 1-8 - [c28]Jan Frederik Forst, Anastasios Tombros, Thomas Rölleke:
Less Is More: Maximal Marginal Relevance as a Summarisation Feature. ICTIR 2009: 350-353 - [c27]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 Rec. 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) - [c26]Thomas Roelleke, Jun Wang:
TF-IDF uncovered: a study of theories and probabilities. SIGIR 2008: 435-442 - [i1]Sihem Amer-Yahia, Djoerd Hiemstra, Thomas Rölleke, Divesh Srivastava, Gerhard Weikum:
08111 Report - Ranked XML Querying. Ranked XML Querying 2008 - 2007
- [c25]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. Manag. 42(1): 4-30 (2006) - [c24]Jun Wang, Thomas Rölleke:
Context-Specific Frequencies and Discriminativeness for the Retrieval of Structured Documents. ECIR 2006: 579-582 - [c23]Thomas Rölleke, Jun Wang:
A parallel derivation of probabilistic information retrieval models. SIGIR 2006: 107-114 - [c22]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 Rec. 34(4): 71-74 (2005) - [c21]Arjen P. de Vries, Thomas Rölleke:
Relevance information: a loss of entropy but a gain for IDF? SIGIR 2005: 282-289 - [c20]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) - [c19]Mounia Lalmas, Thomas Rölleke:
Modelling Vague Content and Structure Querying in XML Retrieval with a Probabilistic Object-Relational Framework. FQAS 2004: 432-445 - [c18]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. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 11(1): 67-86 (2003) - [c17]Mounia Lalmas, Thomas Rölleke, Ian Ruthven:
Abductive retrieval for multimedia information seeking. HCI (4) 2003: 740-744 - [c16]Thomas Rölleke:
A frequency-based and a poisson-based definition of the probability of being informative. SIGIR 2003: 227-234 - [p1]Mounia Lalmas, Thomas Rölleke, Norbert Fuhr:
Intelligent Retrieval of Hypermedia Documents. Intelligent Exploration of the Web 2003: 324-344 - 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. Signal Process. 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]Thomas Rölleke, Ralf Lübeck, Gabriella Kazai:
The HySpirit Retrieval Platform. SIGIR 2001: 454 - [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
- [b1]Thomas Rölleke:
POOL: probabilistic object oriented logical representation and retrieval of complex objects: a model for hypermedia retrieval. Technical University of Dortmund, Germany, Shaker 1999, ISBN 978-3-8265-6250-1, pp. 1-212 - [j2]David W. Embley, Norbert Fuhr, Claus-Peter Klas, Thomas Rölleke:
Ontology Suitability for Uncertain Extraction of Information from Multi-Record Web Documents. Datenbank Rundbr. 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]Thomas Rölleke, Norbert Fuhr:
Probabilistic Reasoning for Large Scale Databases. BTW 1997: 118-132 - [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
aka: Mounia Lalmas
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