Roelleke, Thomas - Department of Computer Science, Queen Mary, University of London

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Roelleke, Thomas - Department of Computer Science, Queen Mary, University of London

PROBABILISTIC LOGICAL MODELLING OF THE BINARY INDEPENDENCE RETRIEVAL MODEL
EXPLICITLY CONSIDERING RELEVANCE WITHIN THE LANGUAGE MODELING FRAMEWORK
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IR4IP Tutorial IPI Confex, March 2009
Introduction & Motivation Retrieval Models
On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR
An Attribute-based Model for Semantic Retrieval Hany Azzam, and Thomas Roelleke
SQR: A Semantic Query Rating Scheme Hany Azzam, and Thomas Roelleke
Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog
Semi-Subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification
The QMUL Team with Probabilistic SQL at Enterprise Track Thomas Roelleke Elham Ashoori Hengzhi Wu
Intelligent Retrieval of Hypermedia Documents Mounia Lalmas
Struggling with the information overload? Problems with integrating heterogeneous data sources? Keep control and gain
Noname manuscript No. (will be inserted by the editor)
Information Retrieval: Concepts and Practical Considerations for Teaching a Rising Topic
Introduction Independent Terms
A Probabilistic Logic for Document Summarisation Keywords: Information retrieval, logic-based retrieval, summarisation logic, structured document retrieval.
A Generic Data Model for Schema-driven Design in Information Retrieval Applications
Cross-lingual Text Fragment Alignment using Divergence from Randomness
AGenericDataModelforSchema-driven DesigninInformationRetrievalApplications
Ranking-based Processing of SQL Queries Hany Azzam, Thomas Roelleke, and Sirvan Yahyaei