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jRDFa: browsing and visualization of linked data on the web

Published: 05 November 2013 Publication History

Abstract

Several efforts in research and development of technologies have been spent to publish data in open standard formats. The main project in this regard is the Linked Open Data, which goal is to create an open and semantic Web of Data, enabling processing and understanding the data by software agents. However, not only the machines can take advantage of the explicit semantics of data. People can take advantage from the semantic of the data to explore unknown concepts, new relationships and to obtain personalized access to relevant resources and services. However, it is not trivial for a user without experience with Web of Data, to satisfactorily explore and use these data. This paper presents the jRDFa, an approach to support the web developer interested in presenting to non-technical users, semantic data embedded in HTML pages in RDFa format. This paper also presents two ways of presenting data in RDFa that were created using the jRDFa: tooltips visualization and facets navigation. To evaluate the proposed approach, this paper presents results of experiments on HTML pages with embedded jRDFa.

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cover image ACM Other conferences
WebMedia '13: Proceedings of the 19th Brazilian symposium on Multimedia and the web
November 2013
360 pages
ISBN:9781450325592
DOI:10.1145/2526188
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 November 2013

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  1. facets
  2. jRDFa
  3. linked data
  4. navigation tooltips
  5. view

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WebMedia '13
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WebMedia '13 Paper Acceptance Rate 29 of 87 submissions, 33%;
Overall Acceptance Rate 270 of 873 submissions, 31%

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