Linking semantic desktop data to the web of data

Authors:
Laura Drăgan;Renaud Delbru;Tudor Groza;Siegfried Handschuh;Stefan Decker
Affiliations:
Digital Enterprise Research Institute, National University of Ireland, Galway;Digital Enterprise Research Institute, National University of Ireland, Galway;School of ITEE, The University of Queensland, Australia;Digital Enterprise Research Institute, National University of Ireland, Galway;Digital Enterprise Research Institute, National University of Ireland, Galway
Venue:
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Year:
2011

Citing 6
Cited 0

Reference reconciliation in complex information spaces

Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Duplicate Record Detection: A Survey

IEEE Transactions on Knowledge and Data Engineering
L2R: a logical method for reference reconciliation

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
URI identity management for semantic web data integration and linkage

OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Sindice.com: weaving the open linked data

ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Hierarchical link analysis for ranking web data

ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.