Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data
Identifieur interne : 000294 ( Istex/Checkpoint ); précédent : 000293; suivant : 000295Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data
Auteurs : Ying Ding [États-Unis] ; Yuyin Sun [États-Unis] ; Bin Chen [États-Unis] ; Katy Borner [États-Unis] ; Li Ding [États-Unis] ; David Wild [États-Unis] ; Melanie Wu [États-Unis] ; Dominic Difranzo [États-Unis] ; Graves Fuenzalida [États-Unis] ; Daifeng Li [États-Unis] ; Stasa Milojevic ; Shanshan Chen [États-Unis] ; Madhuvanthi Sankaranarayanan [États-Unis] ; Ioan Toma [Autriche]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: One of the main shortcomings of Semantic Web technologies is that there are few user-friendly ways for displaying, browsing and querying semantic data. In fact, the lack of effective interfaces for end users significantly hinders further adoption of the Semantic Web. In this paper, we propose the Semantic Web Portal (SWP) as a light-weight platform that unifies off-the-shelf Semantic Web tools helping domain users organize, browse and visualize relevant semantic data in a meaningful manner. The proposed SWP has been demonstrated, tested and evaluated in several different use cases, such as a middle-sized research group portal, a government dataset catalog portal, a patient health center portal and a Linked Open Data portal for bio-chemical data. SWP can be easily deployed into any middle-sized domain and is also useful to display and visualize Linked Open Data bubbles.
Url:
DOI: 10.1007/978-3-642-15470-6_46
Affiliations:
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ISTEX:5383EF521426DB27ED28B2777248225165D0FE51Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: One of the main shortcomings of Semantic Web technologies is that there are few user-friendly ways for displaying, browsing and querying semantic data. In fact, the lack of effective interfaces for end users significantly hinders further adoption of the Semantic Web. In this paper, we propose the Semantic Web Portal (SWP) as a light-weight platform that unifies off-the-shelf Semantic Web tools helping domain users organize, browse and visualize relevant semantic data in a meaningful manner. The proposed SWP has been demonstrated, tested and evaluated in several different use cases, such as a middle-sized research group portal, a government dataset catalog portal, a patient health center portal and a Linked Open Data portal for bio-chemical data. SWP can be easily deployed into any middle-sized domain and is also useful to display and visualize Linked Open Data bubbles.</div>
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