The QMUL Team with Probabilistic SQL at Enterprise Track (2009)
Thomas Roelleke, Elham Ashoori, Hengzhi Wu, Zhen Cai
The enterprise track caught our attention, since the task is similar to a project we carried our for the BBC. Our motivation for participation has been twofold: On one hand, there is the usual...
The binary independence retrieval (BIR) model is a main pillar of information retrieval (IR); recently, the model even attracted the attention of database research on ranking tuples for SQL queries....
EXPLICITLY CONSIDERING RELEVANCE WITHIN THE LANGUAGE MODELING FRAMEWORK (2009)
Leif Azzopardi, Thomas Roelleke
Whilst the event of relevance is central to the Binary Independence Retrieval model, Language Modeling focuses on the estimation of the document model. In this paper, we review the different past...
Noname manuscript No. (will be inserted by the editor) (2008)
Thomas Roelleke, Hengzhi Wu, Jun Wang, Hany Azzam
Abstract This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. Such a high-level implementation is useful since it supports the...
The QMUL Team with Probabilistic SQL at Enterprise Track (2008)
Thomas Roelleke Elham, Thomas Roelleke, Elham Ashoori, Hengzhi Wu, Zhen Cai
The enterprise track caught our attention, since the task is similar to a project we carried our for the BBC. Our motivation for participation has been twofold: On one hand, there is the usual...
08111 Report -- Ranked XML Querying (2008)
Amer-Yahia, Sihem, Hiemstra, Djoerd, Roelleke, Thomas, Srivastava, Divesh, Weikum, Gerhard
This paper is based on a five-day workshop on "Ranked XML Querying" that took place in Schloss Dagstuhl in Germany in March 2008 and was attended by 27 people from three different research...
Relevance information: A loss of entropy but a gain for idf (2005)
When investigating alternative estimates for term discriminativeness, we discovered that relevance information and idf are much closer related than formulated in classical literature. Therefore, we...
Yoelle Maarek, Thomas Roelleke, Thomas Roelleke, Andrei Z. Broder, David Carmel, ...
c○2004 by the individual authors/owners.
The accessibility dimension for structured document retrieval (2002)
Thomas Roelleke, Mounia Lalmas, Gabriella Kazai, Ian Ruthven
Abstract. Structured document retrieval aims at retrieving document components that best satisfy a query, instead of merely retrieving predefined document units. This paper reports on an...
r. Four-valued knowledge augmentation for representing structured documents (2002)
Mounia Lalmas, Thomas Roelleke
Abstract. Structured documents are composed of objects with a content and a logical structure. The effective retrieval of structured documents requires models that provide for a content-based...
Focussed Structured Document Retrieval (2002)
Gabriella Kazai, Mounia Lalmas, Thomas Roelleke
Focussed structured document retrieval aims at retrieving best entry points from where users can browse to access relevant document components in the document structure. In this paper, we report on...
Focussed Structured Document Retrieval (2002)
Gabrialla Kazai Mounia, Mounia Lalmas, Thomas Roelleke
Focussed structured document retrieval aims at retrieving best entry points from where users can browse to access relevant document components in the document structure. In this paper, we report on...