Schimak, Gerald and Rizzoli, Andrea Emilio and Avellino, Giuseppe and Pariente Lobo, Tomàs and Fuentes, José Maria and Athanasiadis, Ioannis N. (2010) Information enrichment using TaToo's semantic framework. In: Metadata and Semantic Research 4th International Conference MTSR 2010, October 20-22, 2010, Alcalá de Henares, Spain,.
Full text not available from this repository.Abstract
The Internet is growing in a non-coordinated manner, where different groups continuously publish and update information, adopting a variety of standards, according to the specific domain of interest: from agriculture to ecology, from groundwater to climate change. This unconstrained and unregulated growth has proven to be very successful, as more information is made available, even more is being added, in a virtuous cycle of information accrual. At the same time, modern search engines make looking for information rather easy, with their overall performance being more than satisfactory for most users. Yet, searching and discovering information requires a good deal of expertise and pre-existing knowledge. That may not be a problem when a user searches for common assets using a generic-purpose search engine. But what happens when the user is trying to gather scientific information across boundaries (e.g. cross different disciplines, cross environmental domains, etc)? This asks for new approaches, methods and tools to close the discovery gap of information resources satisfying your specific request. This is exactly the challenge the TaToo project is heading to.
Item Type: | Article in conference proceedings or Presentation at a conference (Paper) |
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Uncontrolled Keywords: | discovery,environmental information enrichment,model search and,semantic annotation,semantic tagging,web services |
Subjects: | Engineering > Civil engineering > Environmental engineering Computer sciences > Information systems > Information modelling Computer sciences > Artificial intelligence |
Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI |
Depositing User: | Andrea Emilio Rizzoli |
Date Deposited: | 11 Feb 2014 10:20 |
Last Modified: | 11 Feb 2014 10:20 |
URI: | http://repository.supsi.ch/id/eprint/3718 |
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