Modern web applications like Wiki’s, social networking sites and mashups, are radically changing thenature of modern Web from a publishing-only environment into a vivant place for information exchange.The successful exploitation of this information largely depends on the ability to successfully communicatethe data semantics, which is exactly the vision of the Semantic Web. In this context, new challengesemerge for semantic-aware data management systems.The contribution of the data management community in the Semantic Web effort is fundamental. RDFhas already been adopted as the representation model and exchange format for the semantics of thedata on the Web. Although, until recently, RDF had not received considerable attention, the recentpublication in RDF format of large ontologies with millions of entities from sites like Yahoo! andWikipedia, the huge amounts of microformats in RDF from life science organizations, and the giganticRDF bibliographic annotations from publishers, have made clear the need for advanced managementtechniques for RDF data.On the other hand, traditional data management techniques have a lot to gain by incorporating semanticinformation into their frameworks. Existing data integration, exchange and query solutions are typicallybased on the actual data values stored in the repositories, and not on the semantics of these values.Incorporation of semantics in the data management process improves query accuracy, and permit moreefficient and effective sharing and distribution services. Integration of new content, on-the-fly generationof mappings, queries on loosely structured data, keyword searching on structured data repositories, andentity identification, are some of the areas that can benefit from the presence of semantic knowledgealongside the data.The goal of DESWeb is to bring together researchers and practitioners from both fields of DataManagement and Semantic Web. It aims at investigating the new challenges that Semantic Webtechnologies have introduced and new ways through which these technologies can improve existing datamanagement solutions. Furthermore, it intends to study what data management systems andtechnologies can offer in order to improve the scalability and performance of Semantic Web applications.
1st International Workshop on Data Engineering meets the Semantic Web (DESWeb 2010) / Guerra, Francesco; Yannis, Velegrakis; Bergamaschi, Sonia. - (2010).
1st International Workshop on Data Engineering meets the Semantic Web (DESWeb 2010)
GUERRA, Francesco;BERGAMASCHI, Sonia
2010
Abstract
Modern web applications like Wiki’s, social networking sites and mashups, are radically changing thenature of modern Web from a publishing-only environment into a vivant place for information exchange.The successful exploitation of this information largely depends on the ability to successfully communicatethe data semantics, which is exactly the vision of the Semantic Web. In this context, new challengesemerge for semantic-aware data management systems.The contribution of the data management community in the Semantic Web effort is fundamental. RDFhas already been adopted as the representation model and exchange format for the semantics of thedata on the Web. Although, until recently, RDF had not received considerable attention, the recentpublication in RDF format of large ontologies with millions of entities from sites like Yahoo! andWikipedia, the huge amounts of microformats in RDF from life science organizations, and the giganticRDF bibliographic annotations from publishers, have made clear the need for advanced managementtechniques for RDF data.On the other hand, traditional data management techniques have a lot to gain by incorporating semanticinformation into their frameworks. Existing data integration, exchange and query solutions are typicallybased on the actual data values stored in the repositories, and not on the semantics of these values.Incorporation of semantics in the data management process improves query accuracy, and permit moreefficient and effective sharing and distribution services. Integration of new content, on-the-fly generationof mappings, queries on loosely structured data, keyword searching on structured data repositories, andentity identification, are some of the areas that can benefit from the presence of semantic knowledgealongside the data.The goal of DESWeb is to bring together researchers and practitioners from both fields of DataManagement and Semantic Web. It aims at investigating the new challenges that Semantic Webtechnologies have introduced and new ways through which these technologies can improve existing datamanagement solutions. Furthermore, it intends to study what data management systems andtechnologies can offer in order to improve the scalability and performance of Semantic Web applications.
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