Information Retrieval Groups

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Asia	Description	Contact
Bishop Heber IR Institute Bishop Heber College, India	This institute focuses actively on the retrieval and mining of multimedia and web data.	Rajkumar Kannan
Information Retrieval Society of India	"Information Retrieval Society of India" (IRSI), the first Indian society on Information retrieval born in 27th may 2004. IRSI works with the aim of promoting research and development related to Information Retrieval activities in India. Multilingual information retrieval, text mining, Digital Libraries are some of the main thrust area of IRSI. We hope this yahoo group will serve as a common platform for learning and exchange of knowledge and ideas among the Scientists, Researchers, Practitioners and Students related to the field of Information Retrieval. Anyone interested in Information Retrieval is welcome in this group.	Prasenjit Majumder

Australiasia	Description	Contact
RMIT University	The Search Engine group conducts research into the large-scale storage and access of information in the form of documents, text, and multimedia. Research topics include compression, algorithms for information retrieval, genetic databases, databases for large-alphabet languages, indexing high-dimensional data, hashing for large datasets, and pattern matching. The Search Engine group has developed significant new technologies for information retrieval. These are embodied in the SEG public-domain search engine, which will be available soon from this website. These techniques, which include advanced compression methods and high-performance indexing, have also been adopted for applications such as the major Web search engines.	Milad Shokouhi

Europe	Description	Contact
Grupo de Sistemas Inteligentes University of Santiago de Compostela	Mathematical/Formal Models of IR: logic-based IR, language models and fuzzy models.	David E. Losada
IRLab University of A Coruña	The IRLab is part of the Department of Computer Science of the University of A Coruña. The group has been working on basic IR research topics: retrieval models and efficiency issues. This work was done with the support of the Spanish and Galician research agencies. The group is also interested in applying these results in collaborations with local companies and institutions.	Alvaro Barreiro
LIIR (Legal Informatics and Information Retrieval) Katholieke Universiteit Leuven	LIIR encourages research on the interrelation between information retrieval and computational linguistics, machine learning, data mining, automated reasoning, multimedia processing, and information systems in general.	Marie-Francine Moens

Nederlands	Description	Contact
ILPS University of Amsterdam	The Information and Language Processing Systems group, known as the Language and Inference Technology group since its start in 2001 until 2004, is part of the Informatics Institute of the University of Amsterdam. Research within the ILPS group is aimed at developing and studying the computational, linguistic, and statistical underpinnings of effective ways of providing intelligent information access, especially in the face of massive amounts of information. Addressing this task requires synergy between AI-research, IR-techniques, and applied natural language processing.	Maarten de Rike

UK	Description	Contact
CITY IR City University		Andy Macfarlane
Glasgow Information Retrieval Group University of Glasgow	The Information Retrieval group led by Keith van Rijsbergen has a vigorous programme of research, based on both theory and experiment, aimed at giving end-users novel, effective, and efficient access to the world of multi-media information. The group plays a leading role in the international IR community; for example, we are a key player in three European working groups and networks of excellence (IDOMENEUS, MIRO, Mira), and we hosted the 1995 European Summer School in IR	Keith van Rijsbergen
Information Access Lab University of Strathclyde	The I-Lab is concerned with research in the design. implementation and evaluation of advanced interactive information access technology. Information can be textual or multimedia and the modality of access can involve graphical user interfaces, voice, or formal representations of the user knowledge.	Fabio Crestani
Information Retrieval and Interaction Group The Robert Gordon University		David Harper
IR Group University of Sunderland	The Information Retrieval group focusses on the use of natural language processing technology in search engines, and on still and moving image indexing and retrieval. The focus is on empirical and practical work, including peer-to-peer IR. The group collaborates closely with Codeworks, part of the regional digital centre of excelence and has been successful ins obtaining funding for a Framework 6 Integrated Project (Vitalas), a DTI Technology Programme award (Metasearch). Current Group leader is Dr. Michael Oakes, and his email address is: Michael.Oakes at sunderland.ac.uk Contact to Professor John Tait: John.Tait at ir-facility (if necessary).	Michael Oakes
Multimedia and Information Systems the Open University and Imperial College London	Our research is centered around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation. We are the founding member and administer MMKM (UK Multimedia Knowledge Management Network). We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.	Stefan Rueger
QMIR Queen Mary University of London	Research in the QMIR group covers a wide range of topics, both theoretical and practical, including structured document retrieval, knowledge-based retrieval, integration of database and retrieval technologies, web retrieval, personalisation, document clustering, formal and mathematical models, evaluation of retrieval systems, document summarisation, information seeking, multimedia retrieval, interface designs, and experimental user studies. Results from these research investigations are now being applied in the context of distance learning, digital libraries, and interactive TV.	Mounia Lalmas