Text Based Similarity Metrics and Delta for Semantic Web GraphsTweet
Book Title: Proceedings of the Poster Session of 9th International Semantic Web Conference
Date: November 07, 2010
Abstract: Recognizing that two Semantic Web documents or graphs are similar and characterizing their differences is useful in many tasks, including retrieval, updating, version control and knowledge base editing. We describe several text-based similarity metrics that characterize the relation between Semantic Web graphs and evaluate these metrics for three specialc cases of similarity: similarity in classes and properties, similarity disregarding differences in base-URIs, and versioning relation- ship. We apply these techniques for a special use case - generating a delta between versions of a Semantic Web graph. We have evaluated our system on several tasks using a collection of graphs from the archive of the Swoogle Semantic Web search engine.
Organization: University of Maryland, Baltimore County
Google Scholar: ys-RwOV5WkUJ
Number of downloads: 1539
Available for download as