Conference Paper

Towards Semantically-Interlinked Online Communities

National University of Ireland, Galway, Gaillimh, Connaught, Ireland
DOI: 10.1007/11431053_34 Conference: The Semantic Web: Research and Applications, Second European Semantic Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June 1, 2005, Proceedings
Source: DBLP


Online community sites have replaced the traditional means of keeping a community informed via libraries and publishing. At present, online communities are islands that are not interlinked. We describe dif- ferent types of online communities and tools that are currently used to build and support such communities. Ontologies and Semantic Web tech- nologies oer an upgrade path to providing more complex services. Fus- ing information and inferring links between the various applications and types of information provides relevant insights that make the available information on the Internet more valuable. We present the SIOC ontol- ogy which combines terms from vocabularies that already exist with new terms needed to describe the relationships between concepts in the realm of online community sites.

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Available from: Uldis Bojars
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    • "The Semantic Web Technology stack is well defined and applying frameworks such as SIOC (Semantically Interlinked Online Communities) [9] and FOAF (Friend-Of-A-Friend) [10] can lead to an interlinked and semantically rich knowledge source [11]. This knowledge source will be built with user profiles and the content they produce on various social networks as a basis. "

    Full-text · Dataset · Jun 2014
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    • "Wrappers are lightweight plug-ins that enable developers to provide data in the RDF format for arbitrary resources. A social web application based on OAF for example would use a wrapper to fetch data from Twitter via its API and translate the JSON data into RDF with the help of the SIOC vocabulary [10]. Modules display little windows that provide additional user interface elements with which the user can affect the main window's content. "
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    ABSTRACT: OntoWiki is a front-end application for the Semantic Data Web, which was originally developed to support distributed knowledge engineering scenarios. Due to its extensibility it also serves as an development framework for knowledge intensive applications. On the surface, OntoWiki is a generic user interface for arbitrary RDF knowledge graphs. It supports the navigation through RDF knowledge bases using SPARQL-generated lists, tables and trees (e.g.\ class trees and taxonomies). All resources are automatically represented as hyperlinks and backlinks are created whenever feasible, thus enabling users to easily traverse entire knowledge graphs. Since all collections of resources displayed in OntoWiki are generated by SPARQL queries, they can be further refined by applying additional filters. In order to explore large datasets, a comprehensive statistical data management and visualization method was integrated. We give an overview on the architecture and explain the navigation, exploration and visualization features provided for RDF based information and derived statistics. To showcase the versatility of OntoWiki and its various deployments in the Linked Data Web, we describe some large-scale use cases in the domains of enterprise data integration, governmental data publication and digital humanities. This article is the first comprehensive presentation of OntoWiki summarizing the advancements after the initial publication in 2006.
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    • "Since community platforms run on the Internet and in a Web environment, norms or standards from these fields are the best candidates to share models. SIOC (Breslin et al., 2005; Bojars et al., 2008) has been proposed for the representation of social data. It is founded on the Semantic Web technologies. "
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    ABSTRACT: In this paper, we propose a model for an open framework that allows mobile users to create and to participate to context-aware virtual communities. The model we propose and implement is a generic data model fully compliant with the semantic web data model RDF. This model is suited to let mobile end-users use, create and customize virtual communities. We combine fundamentals for a decentralized semantic web social network with context-aware virtual communities and services. Smart cities scenarios are typically targeted with this approach. It can be implemented in places like metro stations, museums, squares, cinemas, etc. to provide ad hoc context-aware information services to mobile users.
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