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Open AccessArticle

A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs

1
Center for Spatial Studies, University of California, Santa Barbara, CA 93106, USA
2
School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland
3
Department of Software and Information Systems, University of North Carolina, Charlotte, NC 28223, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2015, 4(2), 471-492; https://doi.org/10.3390/ijgi4020471
Received: 24 December 2014 / Revised: 9 March 2015 / Accepted: 23 March 2015 / Published: 1 April 2015
Graphs have become ubiquitous structures to encode geographic knowledge online. The Semantic Web’s linked open data, folksonomies, wiki websites and open gazetteers can be seen as geo-knowledge graphs, that is labeled graphs whose vertices represent geographic concepts and whose edges encode the relations between concepts. To compute the semantic similarity of concepts in such structures, this article defines the network-lexical similarity measure (NLS). This measure estimates similarity by combining two complementary sources of information: the network similarity of vertices and the semantic similarity of the lexical definitions. NLS is evaluated on the OpenStreetMap Semantic Network, a crowdsourced geo-knowledge graph that describes geographic concepts. The hybrid approach outperforms both network and lexical measures, obtaining very strong correlation with the similarity judgments of human subjects. View Full-Text
Keywords: geographic concepts; semantic similarity; geo-knowledge graphs; network-lexical similarity measure (NLS); lexical similarity; network similarity geographic concepts; semantic similarity; geo-knowledge graphs; network-lexical similarity measure (NLS); lexical similarity; network similarity
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MDPI and ACS Style

Ballatore, A.; Bertolotto, M.; Wilson, D.C. A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs. ISPRS Int. J. Geo-Inf. 2015, 4, 471-492. https://doi.org/10.3390/ijgi4020471

AMA Style

Ballatore A, Bertolotto M, Wilson DC. A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs. ISPRS International Journal of Geo-Information. 2015; 4(2):471-492. https://doi.org/10.3390/ijgi4020471

Chicago/Turabian Style

Ballatore, Andrea; Bertolotto, Michela; Wilson, David C. 2015. "A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs" ISPRS Int. J. Geo-Inf. 4, no. 2: 471-492. https://doi.org/10.3390/ijgi4020471

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