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Easing Semantic Data Publishing and Processing Using Semantic MediaWiki and RDFa. Jin Guang Zheng. Motivation. Problem Publishing and consuming linked data require substantial work and the familiarity of semantic technologies . Solution Reduce it by using Semantic MediaWiki & RDFa
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Easing Semantic Data Publishing and Processing Using Semantic MediaWiki and RDFa Jin Guang Zheng
Motivation • Problem • Publishing and consuming linked data require substantial work and the familiarity of semantic technologies. • Solution • Reduce it by using Semantic MediaWiki & RDFa • Develop an extension converts SMW Data -> RDFa data & RDFa Data -> SMW Data • Benefit • For Publisher • Easy publishing RDFa data; • For Consumer • Rich set of SMW extension to cosume data; • RDFa-aware tools and services
More Advantage of Combining Semantic MediaWiki & RDFa • Publishing SMW data (which are mainly consumed internally by the wiki) as RDFa facilitates breaking down barriers among wiki based data sources and other applications (e.g., search engines); • Taking the advantages of SMW's user-interactive platform, the extension offers owners an easy way to publish social, dynamic semantic data without requiring users the knowledge of semantic technologies; • By supporting both importing and exporting RDFa data for SMW, we are able to use the low-cost semantic application development environment enabled by SMW to process, merge and republish RDFa data.
Data-Gov CatalogWithout RDFa • Description of the search result doesn’t present user with useful information
Data-Gov Catalog With RDFa • With RDFa technology, we were able to present some interesting information to the user
Future Work with Faceted Browsing • Instead of hard code the RDFa data to be presented, use Faceted Browsing technology to create an interactive environment for user to browse the RDFa data + enhance search experience.
RDFa + Faceted Browsing Query RDFa Data Web pages With RDFa Data