What Goes Around Comes Around - Improving Linked Open Data through On-Demand Model Creation

TitleWhat Goes Around Comes Around - Improving Linked Open Data through On-Demand Model Creation
Publication TypeConference Paper
Year of Publication2010
AuthorsDelroy Cameron, Christopher Thomas, Pablo N. Mendes, Pankaj Mehra, Wenbo Wang, Amit Sheth
PublisherWeb Science
KeywordsInformation Extraction and Model Creation and Linked Open Data and Knowledge Extraction
Abstract

We present a method for growing the amount of knowledge available on the Web using a hermeneutic method that involves background knowledge, Information Extraction techniques and validation through discourse and use of the extracted information. We exemplify this using Linked Data as background knowledge, automatic Model/Ontology creation for the IE part and a Semantic Browser for evaluation. The hermeneutic approach, however, is open to be used with other IE techniques and other evaluation methods. We will present results from the model creation and anecdotal evidence for the feasibility of 'Validation through Use'.

Full Text

Christopher J. Thomas, Wenbo Wang, Pankaj Mehra, Delroy Cameron, Pablo N. Mendes, and Amit P. Sheth. What Goes Around Comes Around - Improving Linked Opend Data through On-Demand Model Creation. In Web Science, 2010
project: HPCO
year: 2010
venue url: http://www.websci10.org/
venue name: Web Science
hasURL: http://journal.webscience.org/397/2/websci10_submission_115.pdf