DC Proposal: Evaluating Trustworthiness of Web Content using Semantic Web Technologies
Presented at: 10th International Semantic Web Conference (ISWC2011)
Since the Linked Data is continuously growing on the Web, the quality of overall data can rapidly degrade over time. The research proposed here deals with the quality assessment in the Linked Data and the temporal linking techniques. First, we conduct an in-depth study of appropriate dimensions and their respectively metrics by defining a data quality methodology as a set of guidelines and techniques that defines a rational process to assess and improve the quality of data. Second, since the linking of entities is used to assess and improve the quality of data, we show that applying decay in similarity computation can already improve over traditional linkage techniques. This paper describes the core problem, presents the proposed approach, reports on initial results, and lists planned future tasks
DC Proposal: Evaluating Trustworthiness of Web Content using Semantic Web Technologies was presented at this event.
Keywords: Semantic Web
Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2011/paper/doctoral-consortium/8
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