Search (2 results, page 1 of 1)

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Abstract

As with any journey, you have to make the right connections if you want to reach your desired destination. The goal in the LIMBER project is to facilitate cross-European data analysis independent of domain, resource, language and vocabulary. The paper describes the expertise, associations, standards and architecture underlying the project deliverables designed to achieve the project's ambitious aims. - Limber (Language Independent Metadata Browsing of European Resources) is an EU (European Union) IST (Information Societies Technology) funded project that seeks to address the problems of linguistic and discipline boundaries, which, within a more integrated European environment, are becoming increasingly important. Decision-makers, researchers and journalists need to be provided with a broader, comparative picture of society across the continent; with the social science information often required to be correlated with information from domains such as environmental science, geography and health. This cross-discipline interoperability will be provided via a uniform metadata description. In addition, the provision of multilingual user interfaces and the controlled vocabulary of a multi-lingual thesaurus will make these datasets globally accessible in a range of end-user natural languages

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Content

"Textual content-based search engines for the web have a number of limitations. Firstly, many web resources have little or no textual content (images, audio or video streams etc.) Secondly, precision is low where natural language terms have overloaded meaning (e.g. 'bank', 'watch', 'chip' etc.) Thirdly, recall is incomplete where the search does not take account of synonyms or quasi-synonyms. Fourthly, there is no basis for assisting a user in modifying (expanding, refining, translating) a search based on the meaning of the original search. Fifthly, there is no basis for searching across natural languages, or framing search queries in terms of symbolic languages. The Semantic Web is a framework for creating, managing, publishing and searching semantically rich metadata for web resources. Annotating web resources with precise and meaningful statements about conceptual aspects of their content provides a basis for overcoming all of the limitations of textual content-based search engines listed above. Creating this type of metadata requires that metadata generators are able to refer to shared repositories of meaning: 'vocabularies' of concepts that are common to a community, and describe the domain of interest for that community.