UMBC ebiquity

Text Based Similarity Metrics and Delta for Semantic Web Graphs

Authors: Krishnamurthy Viswanathan, and Tim Finin

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.

Type: InProceedings

Organization: University of Maryland, Baltimore County

Tags: semantic web graphs, similarity metrics, delta

Google Scholar: ys-RwOV5WkUJ

Number of downloads: 1588

 

Available for download as


size: 148226 bytes

size: 508928 bytes