Paper Info
Title
SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web
Abstract
Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its features with some features from search engines. In this paper, we describe methods for indexing and searching a populated ontology by using an information retrieval tool; its results are enriched with inference. For visualization purposes, all of the retrieved ontology instances are clustered based on their classes; and the clusters are linked using instance properties. The approach is illustrated using our SWHi (Semantic Web for History) prototype as a case study.
Year
DOI
Venue
2007
10.1007/978-3-540-72667-8_55
ESWC
Keywords
Field
DocType
popular tool,populated ontology,case study,ontology instance,search engine,information retrieval,swhi system description,semantic web,visualization purpose,information retrieval tool,real-world semantic web application,instance property,ontology,visualization
Data mining,Semantic search,Semantic Web Stack,Information retrieval,Visualization,Computer science,Search engine indexing,Semantic Web,Ontology Inference Layer,OWL-S,Social Semantic Web
Conference
Volume
ISSN
Citations 
4519
0302-9743
3
PageRank 
References 
Authors
0.57
7
4
Name
Order
Citations
PageRank
Ismail Fahmi1835.41
Junte Zhang2737.59
Henk Ellerman3352.35
Gosse Bouma448370.88