Title: Faceted Exploring for Domain Knowledge over Linked Open Data
Abstract: The rapidly increasing RDF data in the Linked Open Data (LOD) community project is a valuable resource for obtaining domain knowledge. However, RDF data of specific topics also shows a trend of being more decentralized and fragmented, which makes it difficult and inefficient for the users to get an overview of a specific topic and retrieve the desired information. In this paper, we demonstrate a novel system called KFM, which can aggregate the distributed RDF data of a topic according to the facets of this topic. KFM provides a new way for users to obtain and explore domain knowledge in the LOD cloud.
Publication Year: 2014
Publication Date: 2014-11-03
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 2
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