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The WISDOM Project
DataBase Group Facoltà di Ingegneria - sede di Modena Università di Modena e Reggio Emilia |
WISDOM: Web Intelligent Search based on DOMain ontologiesMIUR 2004 - project
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Overview
The huge amount of data and services available on the Web requires the development of systems that, overcome the "information
overloading" problem of traditional search engines. In particular, there is the need of developing novel tools for the integration,
the localization and the customizable fruition of informative resources which allow the clients to "recharge" with interesting data.
WISDOM goal is to develop intelligent techniques and tools, based on domain ontologies, to perform effective and efficient
information search on the WEB. In particular, we aim at developing systems for retrieving information both from data-intensive
and unstructured site/web pages, in an integrated and efficient way. The project will be articulated in three synergic and
complementary themes and will define a reference methodological and functional architecture in order to ensure compatibility of
the solutions offered by the three themes. The goal of Theme1(Creation and extension of a domain ontology) is the study and
development of solutions to represent the semantics of the contents of Web sources. The goal of Theme2 (Emergent Semantics:
Discovering semantic mappings among domain ontologies) is the study and development of techniques and tools to support
identification, discovery and storage of semantic mappings among domain ontologies. The investigated semantic mappings will
support the rewriting of a query with respect to more ontologies and will be based on language semantics, lexical chains and logic
inferences. The goal of Theme3 (Query processing) is the development of techniques for searching information, exploiting the
semantic infrastructure developed within Themes 2 and 3. Efficient and effective query processing mechanisms, considering
data/sites hetereogeneity and constraints imposed by the distributed environment, will be developed. In particular, these techniques
will rely on sources characterization to individuate useful sources, solve rewriting problems and integrate results from different
sources. |
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for more information and suggestions write to bergamaschi.sonia@unimo.it |