Eine probabilistische relationale Algebra zur Modellierung von Unsicherheit und Vagheit in Datenbanken. - Thomas Rölleke; Norbert Fuhr (Grundlagen von Datenbanken, 1994)

Retrieval of Complex Objects Using a Four-Valued Logic. - Thomas Rölleke; Norbert Fuhr (SIGIR, 1996)

Probabilistic Reasoning for Large Scale Databases. - Thomas Rölleke; Norbert Fuhr (BTW, 1997)

Retrieving Complex Objects with HySpirit. - Thomas Rölleke; Norbert Fuhr (BCS-IRSG Annual Colloquium on IR Research, 1997)

Probabilistic Logical Information Retrieval for Content, Hypertext, and Database Querying. - Thomas Rölleke; Markus Blömer (HIM, 1997)

A Probabilistic Relational Algebra for the Integration of Information Retrieval and Database Systems. - Norbert Fuhr; Thomas Rölleke (ACM Trans. Inf. Syst., 1997)

HySpirit - A Probabilistic Inference Engine for Hypermedia Retrieval in Large Databases. - Norbert Fuhr; Thomas Rölleke (EDBT, 1998)

Querying for Facts and Content in Hypermedia Documents. - Thomas Rölleke; Norbert Fuhr (FQAS, 1998)

DOLORES: A System for Logic-Based Retrieval of Multimedia Objects. - Norbert Fuhr; Norbert Gövert; Thomas Rölleke (SIGIR, 1998)

Ontology Suitability for Uncertain Extraction of Information from Multi-Record Web Documents. - David W. Embley; Norbert Fuhr; Claus-Peter Klas; Thomas Rölleke (Datenbank Rundbr., 1999)

POOL: probabilistic object oriented logical representation and retrieval of complex objects: a model for hypermedia retrieval. - Thomas Rölleke (Shaker, 1999)

Concepts for a Graphical User Interface for Hypermedia Retrieval. - Mounia Lalmas; Thomas Rölleke; Frank Turra; Norbert Fuhr (FQAS, 2000)

The HySpirit Retrieval Platform. - Thomas Rölleke; Ralf Lübeck; Gabriella Kazai (SIGIR, 2001)

A Model for the Representation and Focussed Retrieval of Structured Documents Based on Fuzzy Aggregation. - Gabriella Kazai; Mounia Lalmas; Thomas Rölleke (SPIRE, 2001)

The Accessibility Dimension for Structured Document Retrieval. - Thomas Rölleke; Mounia Lalmas; Gabriella Kazai; Ian Ruthven; Stefan Quicker (ECIR, 2002)

A Scalable Architecture for XML Retrieval. - Gabriella Kazai; Thomas Rölleke (INEX Workshop, 2002)

Four-Valued Knowledge Augmentation for Representing Structured Documents. - Mounia Lalmas; Thomas Rölleke (ISMIS, 2002)

Focussed Structured Document Retrieval. - Gabriella Kazai; Mounia Lalmas; Thomas Rölleke (SPIRE, 2002)

Using MPEG-7 at the Consumer Terminal in Broadcasting. - Alan Pearmain; Mounia Lalmas; Ekaterina Moutogianni; Damien Papworth; Pat Healey 001; Thomas Rölleke (EURASIP J. Adv. Signal Process., 2002)

Abductive retrieval for multimedia information seeking. - Mounia Lalmas; Thomas Rölleke; Ian Ruthven (HCI (4), 2003)

A frequency-based and a poisson-based definition of the probability of being informative. - Thomas Rölleke (SIGIR, 2003)

Four-Valued Knowledge Augmentation for Structured Document Retrieval. - Mounia Lalmas; Thomas Rölleke (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003)

Intelligent Retrieval of Hypermedia Documents. - Mounia Lalmas; Thomas Rölleke; Norbert Fuhr (Intelligent Exploration of the Web, 2003)

Modelling Vague Content and Structure Querying in XML Retrieval with a Probabilistic Object-Relational Framework. - Mounia Lalmas; Thomas Rölleke (FQAS, 2004)

Building and Experimenting with a Heterogeneous Collection. - Zoltán Szlávik; Thomas Rölleke (INEX, 2004)

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. - Ricardo A. Baeza-Yates; Yoëlle S. Maarek; Thomas Rölleke; Arjen P. de Vries (SIGIR Forum, 2004)

Relevance information: a loss of entropy but a gain for IDF? - Arjen P. de Vries; Thomas Rölleke (SIGIR, 2005)

The QMUL Team with Probabilistic SQL at Enterprise Track. - Thomas Roelleke; Elham Ashoori; Hengzhi Wu; Zhen Cai (TREC, 2005)

Report on the DB/IR panel at SIGMOD 2005. - Sihem Amer-Yahia; Pat Case; Thomas Rölleke; Jayavel Shanmugasundaram; Gerhard Weikum (SIGMOD Rec., 2005)

Context-Specific Frequencies and Discriminativeness for the Retrieval of Structured Documents. - Jun Wang 032; Thomas Rölleke (ECIR, 2006)

A parallel derivation of probabilistic information retrieval models. - Thomas Rölleke; Jun Wang 032 (SIGIR, 2006)

Solving the Enterprise TREC Task with Probabilistic Data Models. - Jan Frederik Forst; Anastasios Tombros; Thomas Rölleke (TREC, 2006)

A general matrix framework for modelling Information Retrieval. - Thomas Rölleke; Theodora Tsikrika; Gabriella Kazai (Inf. Process. Manag., 2006)

Modelling a Summarisation Logic in Probabilistic Datalog. - Jan Frederik Forst; Thomas Roelleke; Anastasios Tombros (LWA, 2007)

08111 Report - Ranked XML Querying. - Sihem Amer-Yahia; Djoerd Hiemstra; Thomas Rölleke; Divesh Srivastava; Gerhard Weikum (Ranked XML Querying, 2008)

TF-IDF uncovered: a study of theories and probabilities. - Thomas Roelleke; Jun Wang 032 (SIGIR, 2008)

DB&IR integration: report on the dagstuhl seminar. - Sihem Amer-Yahia; Djoerd Hiemstra; Thomas Roelleke; Divesh Srivastava; Gerhard Weikum (SIGIR Forum, 2008)

DB&IR integration: report on the Dagstuhl seminar "ranked XML querying". - Sihem Amer-Yahia; Djoerd Hiemstra; Thomas Roelleke; Divesh Srivastava; Gerhard Weikum (SIGMOD Rec., 2008)

Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes. - Thomas Rölleke; Hengzhi Wu; Jun Wang 032; Hany Azzam (VLDB J., 2008)

A case for probabilistic logic for scalable patent retrieval. - Iraklis A. Klampanos; Hany Azzam; Thomas Roelleke (PaIR@CIKM, 2009)

Less Is More: Maximal Marginal Relevance as a Summarisation Feature. - Jan Frederik Forst; Anastasios Tombros; Thomas Rölleke (ICTIR, 2009)

Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification. - Hengzhi Wu; Thomas Roelleke (ICTIR, 2009)

Information Retrieval: Concepts and Practical Considerations for Teaching a Rising Topic. - Daniel Blank; Norbert Fuhr; Andreas Henrich; Thomas Mandl 001; Thomas Rölleke; Hinrich Schütze; Benno Stein 001 (Datenbank-Spektrum, 2009)

Probabilistic Retrieval Models and Binary Independence Retrieval (BIR) Model. - Thomas Roelleke; Jun Wang 032; Stephen Robertson (Encyclopedia of Database Systems, 2009)

SQR: a semantic query rating scheme. - Hany Azzam; Thomas Roelleke (ESAIR, 2010)

Recent Developments in Information Retrieval. - Cathal Gurrin; Yulan He 001; Gabriella Kazai; Udo Kruschwitz; Suzanne Little; Thomas Roelleke; Stefan M. Rüger; Keith van Rijsbergen (ECIR, 2010)

Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data. - Iraklis A. Klampanos; Hengzhi Wu; Thomas Roelleke; Hany Azzam (IRFC, 2010)

An Attribute-based Model for Semantic Retrieval. - Hany Azzam; Thomas Roelleke (LWA, 2010)

Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog. - Miguel Martinez-Alvarez; Thomas Roelleke (SUM, 2010)

Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search. - Hany Azzam; Iraklis A. Klampanos; Thomas Roelleke (Current Challenges in Patent Information Retrieval, 2011)

Teaching IR: Curricular Considerations. - Daniel Blank; Norbert Fuhr; Andreas Henrich; Thomas Mandl 001; Thomas Rölleke; Hinrich Schütze; Benno Stein 001 (Teaching and Learning in Information Retrieval, 2011)

Ranking-based processing of SQL queries. - Hany Azzam; Thomas Roelleke; Sirvan Yahyaei (CIKM, 2011)

A Generic Data Model for Schema-Driven Design in Information Retrieval Applications. - Hany Azzam; Thomas Roelleke (ICTIR, 2011)

A Descriptive Approach to Classification. - Miguel Martinez-Alvarez; Thomas Roelleke (ICTIR, 2011)

On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR. - Fabrizio Smeraldi; Miguel Martinez-Alvarez; Ingo Frommholz; Thomas Roelleke (IIR, 2011)

Cross-Lingual Text Fragment Alignment Using Divergence from Randomness. - Sirvan Yahyaei; Marco Bonzanini; Thomas Roelleke (SPIRE, 2011)

Semi-automatic Document Classification: Exploiting Document Difficulty. - Miguel Martinez-Alvarez; Sirvan Yahyaei; Thomas Roelleke (ECIR, 2012)

Investigating the Use of Extractive Summarisation in Sentiment Classification. - Marco Bonzanini; Miguel Martinez-Alvarez; Thomas Roelleke (IIR, 2012)

Opinion summarisation through sentence extraction: an investigation with movie reviews. - Marco Bonzanini; Miguel Martinez-Alvarez; Thomas Roelleke (SIGIR, 2012)

A schema-driven approach for knowledge-oriented retrieval and query formulation. - Hany Azzam; Sirvan Yahyaei; Marco Bonzanini; Thomas Roelleke (KEYS, 2012)

Document Difficulty Framework for Semi-automatic Text Classification. - Miguel Martinez-Alvarez; Alejandro Bellogín; Thomas Roelleke (DaWaK, 2013)

Mathematical Specification and Logic Modelling in the context of IR. - Miguel Martinez-Alvarez; Marco Bonzanini; Thomas Roelleke (ICTIR, 2013)

IR Models: Foundations and Relationships. - Thomas Roelleke (ICTIR, 2013)

The D2Q2 Framework: On the Relationship and Combination of Language Modelling and TF-IDF. - Thomas Roelleke; Hany Azzam; Marco Bonzanini; Miguel Martinez-Alvarez; Mounia Lalmas (LWA, 2013)

Extractive summarisation via sentence removal: condensing relevant sentences into a short summary. - Marco Bonzanini; Miguel Martinez-Alvarez; Thomas Roelleke (SIGIR, 2013)

On the modelling of ranking algorithms in probabilistic datalog. - Thomas Roelleke; Marco Bonzanini; Miguel Martinez-Alvarez (DBRank@VLDB, 2013)

Information Retrieval Models: Foundations & Relationships - Thomas Roelleke (Information Retrieval Models, 2013)

IR meets NLP: On the Semantic Similarity between Subject-Verb-Object Phrases. - Dmitrijs Milajevs; Mehrnoosh Sadrzadeh; Thomas Roelleke (ICTIR, 2015)

Harmony Assumptions in Information Retrieval and Social Networks. - Thomas Roelleke; Andreas Kaltenbrunner; Ricardo Baeza-Yates (Comput. J., 2015)

Scalable DB+IR Technology: Processing Probabilistic Datalog with HySpirit. - Ingo Frommholz; Thomas Roelleke (Datenbank-Spektrum, 2016)

A systematic approach to normalization in probabilistic models. - Aldo Lipani; Thomas Roelleke; Mihai Lupu; Allan Hanbury (Inf. Retr. J., 2018)

Probabilistic Retrieval Models and Binary Independence Retrieval (BIR) Model. - Thomas Roelleke; Jun Wang 032; Stephen Robertson (Encyclopedia of Database Systems (2nd ed.), 2018)

FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking. - Mohammad Bahrani; Thomas Roelleke (CIKM, 2020)

BM25-FIC: Information Content-based Field Weighting for BM25F. - Tuomas Ketola; Thomas Roelleke (BIRDS@SIGIR, 2020)

ADOR: A New Medical Dataset for Sentiment-based IR. - Mohammad Bahrani; Thomas Roelleke (CIKM Workshops, 2021)

Opinion-Aware Retrieval Models Based on Sentiment and Intensity of Lexical Features. - Mohammad Bahrani; Thomas Roelleke (MMBD/MLIS, 2021)

Formal Constraints for Structured Document Retrieval. - Tuomas Ketola; Thomas Roelleke (ICTIR, 2022)

Automatic and Analytical Field Weighting for Structured Document Retrieval. - Tuomas Ketola; Thomas Roelleke (ECIR (1), 2023)

Document structure-driven investigative information retrieval. - Tuomas Ketola; Thomas Roelleke (Inf. Syst., 2024)