SALSA: the stochastic approach for link-structure analysis
ACM Transactions on Information Systems (TOIS)
Ontology summarization based on rdf sentence graph
Proceedings of the 16th international conference on World Wide Web
BipRank: ranking and summarizing RDF vocabulary descriptions
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
Incorporating compactness to generate term-association view snippets for ontology search
Information Processing and Management: an International Journal
The notion of diversity in graphical entity summarisation on semantic knowledge graphs
Journal of Intelligent Information Systems
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This poster proposes a novel approach for generating summaries for ontology search. Following previous work, we define ontology summarization as the problem of ranking and selecting RDF sentences, for which we examine three aspects. Firstly, to assess the salience of RDF sentences in an ontology, we devise a bipartite graph model for representing the ontology and analyze random walks on this graph. Secondly, to reflect how an ontology is matched with user needs expressed via keyword queries, we incorporate query relevance into the selection of RDF sentences. Finally, to improve the unity of a summary, we optimize its cohesion in terms of the connections between constituent RDF sentences. We have implemented an online prototype system called Falcons Ontology Search.