Linking semantic desktop data to the Web of Data

Dragan, Laura, Delbru, Renaud, Groza, Tudor, Handschuh, Siegfried and Decker, Stefan (2011). Linking semantic desktop data to the Web of Data. In: Proceedings of the Iswc 2011 10th International Semantic Web Conference - The Semantic Web. International Semantic Web Conference, Bonn, Germany, (33-48). 23 - 27 October 2011. doi:10.1007/978-3-642-25093-4_3

Author Dragan, Laura
Delbru, Renaud
Groza, Tudor
Handschuh, Siegfried
Decker, Stefan
Title of paper Linking semantic desktop data to the Web of Data
Conference name International Semantic Web Conference
Conference location Bonn, Germany
Conference dates 23 - 27 October 2011
Proceedings title Proceedings of the Iswc 2011 10th International Semantic Web Conference - The Semantic Web   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2011
Sub-type Fully published paper
DOI 10.1007/978-3-642-25093-4_3
Open Access Status Not Open Access
ISBN 9783642250927
ISSN 0302-9743
Volume 7032
Start page 33
End page 48
Total pages 16
Language eng
Abstract/Summary The goal of the Semantic Desktop is to enable better organization of the personal information on our computers, by applying semantic technologies on the desktop. However, information on our desktop is often incomplete, as it is based on our subjective view, or limited knowledge about an entity. On the other hand, the Web of Data contains information about virtually everything, generally from multiple sources. Connecting the desktop to the Web of Data would thus enrich and complement desktop information. Bringing in information from the Web of Data automatically would take the burden of searching for information off the user. In addition, connecting the two networks of data opens up the possibility of advanced personal services on the desktop. Our solution tackles the problems raised above by using a semantic search engine for the Web of Data, such as Sindice, to find and retrieve a relevant subset of entities from the web. We present a matching framework, using a combination of configurable heuristics and rules to compare data graphs, that achieves a high degree of precision in the linking decision. We evaluate our methodology with real-world data; create a gold standard from relevance judgements by experts, and we measure the performance of our system against it. We show that it is possible to automatically link desktop data with web data in an effective way.
Keyword Semantic Desktop
Semantic Web
Linked Data
Personal Information Management
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Wed, 21 Sep 2011, 02:19:05 EST by Dr Tudor Groza on behalf of School of Information Technol and Elec Engineering