With the development of the Semantic Web, more and more ontologies are available for exploitation by semantic search engines. However, while semantic search engines support the retrieval of candidate ontologies, the final selection of the most appropriate ontology is still difficult for the end users. In this paper, we extend existing work on ontology summarization to support the presentation of ontology snippets. The proposed solution leverages a new semantic similarity measure to generate snippets that are based on the given query. Experimental results have shown the potential of our solution in this problem domain that is largely unexplored so far. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Penin, T., Wang, H., Tran, T., & Yu, Y. (2008). Snippet generation for semantic web search engines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5367 LNCS, pp. 493–507). https://doi.org/10.1007/978-3-540-89704-0_34
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