Data management issues on the semantic web

Oktie Hassanzadeh*, Anastasios Kementsietsidis, Yannis Velegrakis

*Corresponding author for this work

Research output: Contribution to conferencePaperAcademic

Abstract

We provide an overview of the current data management research issues in the context of the Semantic Web. The objective is to introduce the audience into the area of the Semantic Web, and to highlight the fact that the area provides many interesting research opportunities for the data management community. A new model, the Resource Description Framework (RDF), coupled with a new query language, called SPARQL, lead us to revisit some classical data management problems, including efficient storage, query optimization, and data integration. These are problems that the Semantic Web community has only recently started to explore, and therefore the experience and long tradition of the database community can prove valuable. We target both experienced and novice researchers that are looking for a thorough presentation of the area and its key research topics.

Original languageEnglish
Pages1204-1206
Number of pages3
DOIs
Publication statusPublished - 30 Jul 2012
EventIEEE 28th International Conference on Data Engineering, ICDE 2012 - Arlington, VA, United States
Duration: 1 Apr 20125 Apr 2012

Conference

ConferenceIEEE 28th International Conference on Data Engineering, ICDE 2012
Country/TerritoryUnited States
CityArlington, VA
Period1/04/125/04/12

Keywords

  • alternative clustering
  • data mining
  • disparate clustering
  • multi-view clustering
  • subspace clustering

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