Workshop on Logical and Uncertainty Models for Information Systems
University of Munich, Germany
September 3-7, 2001
The advent of electronic tools for producing and storing information has resulted in an avalanche of computer readable text. The access to all this information has gone through a slow but steady process to adapt to the growth of availability of electronically stored data, and a large number of tools have been developed to enable users to access and manage these large volumes of information.
Logic has and is currently used to formulate advanced models for representing, accessing, and retrieving information from large repositories. Logic has proved over centuries to be a very powerful modelling and reasoning tool, providing a degree of formality and correctness that can be very useful for manipulating information objects. Some logical models are able to represent, within a uniform framework, various features of information systems, such as hypermedia links, multimedia content, and users knowledge. Logic also provides a common approach to the integration of content retrieval (information retrieval) and fact retrieval (database retrieval). Finally, logic makes it possible to reason about a model and its properties. This latter possibility is becoming increasingly important since conventional evaluation methods, although good indicators of the effectiveness of retrieval tools, often give results which cannot be predicted, or satisfactorily explained.
However, logic by itself is not sufficient. Uncertainty plays a very important role in the representation, access, and retrieval of information. For example, the extraction of index terms or any content representation from a document or a query to represent the document or the query information content is a highly uncertain process. The data describing the redness of a red object present in a picture stored in a multimedia database is subject to a certain degree of uncertainty too. Therefore, in determining the relevance of a document to a query the truth value or the validity of a logical formula relating the two is not enough. It is necessary to take into account the uncertainty inherent in such a formulation.
The purpose of this workshop is to promote discussion and interaction among members of the Information Systems community; in particular among those members with research interests in logical and uncertainty models for the treatment of semi-structured and unstructured information. We are particularly interested in experiences dealing with unstructured or poorly structured information. We believe that a very large part of the information that will be available in future will be of this nature. This community is made of people coming from different fields: theoretical computer science, databases, information retrieval, hypermedia, digital libraries, artificial intelligence, to mention just a few areas.
The workshop aims at being an international forum for the presentation of both theoretical and applicative results. Papers describing application experiences are particularly encouraged. Papers presented will deal with the issue of providing effective and intelligent access to large information repositories where information is modelled and/or managed using any of, but not limited to, the following approaches:
This will be the third workshop on the same topics. The first LUMIS was held as part of the Fifth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU'99). It was held at the University College London (UCL), in July 1999. The proceedings of the workshop are available online at www.dcs.gla.ac.uk/lumis99 and a review of the most significant issues addressed in the workshop has been published in the journal "The Knowledge Engineering Review", 15(2):171-179, published by Cambridge University Press. The second workshop was held as part of the 11th International Conference on Database and Expert Systems Applications (DEXA 2000). The proceedings were published by IEEE Computer Society Press as proceedings of the DEXA 2000 workshops.
Authors should submit full papers electronically by email to email@example.com. The title page must include the name and email address of the contact author, and 3-4 relevant keywords. Your paper should reach us no later than 1 March 2001.
Dr. Fabio Crestani
Department of Computer Science
University of Strathclyde
26 Richmond Street
Glasgow G1 1XH, Scotland, UK
Tel: +44 141 548 4303
Fax: +44 141 552 5330
Dr. Mounia Lalmas
Department of Computer Science
Queen Mary, University of London
Mile End Road,
London E1 4NS, UK
Tel: +44 20 7882 5200
Fax: +44 20 8882 6533
Dr Jian-Yun Nie
Département d'Informatique et recherche opérationnelle
Université de Montréal
CP 6128 succursale Centre-Ville
Montréal QC H3C 3J7, Canada
Tel: +1 514 343-2263
Fax: +1 514 343-5834