In this paper we present a project aimed at enhancing a collaborative environment for resource management (SemT++) with domain knowledge, represented by a local ontology and a connection to external data, retrieved from Linked Open Data sets. Our approach is based on the assumption that heterogeneous resources can be viewed as "information objects", and can be organized within collaborative spaces (i.e., "round tables"). Information objects, among other properties, are characterized by their content. Annotations representing resource content (e.g., "Torino") can thus be linked to domain knowledge which provides users with useful information. We tested this approach on the geographic domain, by connecting resources to commonsense geographic knowledge and to information available in GeoNames.

A Semantic Framework to Enrich Collaborative Tables with Domain Knowledge

GOY, Annamaria;MAGRO, Diego;PETRONE, GIOVANNA;ROVERA, MARCO;SEGNAN, MARINO
2015-01-01

Abstract

In this paper we present a project aimed at enhancing a collaborative environment for resource management (SemT++) with domain knowledge, represented by a local ontology and a connection to external data, retrieved from Linked Open Data sets. Our approach is based on the assumption that heterogeneous resources can be viewed as "information objects", and can be organized within collaborative spaces (i.e., "round tables"). Information objects, among other properties, are characterized by their content. Annotations representing resource content (e.g., "Torino") can thus be linked to domain knowledge which provides users with useful information. We tested this approach on the geographic domain, by connecting resources to commonsense geographic knowledge and to information available in GeoNames.
2015
International Conference on Knowledge Management and Information Sharing
Lisbona (Portogalllo)
12-14/11/2015
IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
SciTePress – Science and Technology Publications
3
371
381
978-989-758-158-8
http://www.scitepress.org/PublicationsDetail.aspx?ID=Wu5wh0/eTRw=&t=1
Communication, Collaboration and Information Sharing, Metadata Management, Linked Open Data, Semantic Web, Ontology-driven Applications
Goy, Annamaria; Magro, Diego; Petrone, Giovanna; Rovera, Marco; Segnan, Marino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1558197
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