Graph-based domain-specific semantic relatedness from Wikipedia

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8436 LNAI, Issue , 2014, Pages 381-386

  Sajadi, Armin ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Biomedical Domain; Semantic Relatedness; Wikipedia Mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; GRAPHIC METHODS; SEMANTICS;

BIOMEDICAL DOMAIN; DOMAIN-SPECIFIC APPLICATION; GRAPH-BASED METHODS; LEXICAL RESOURCES; ONTOLOGY-BASED METHODS; SEMANTIC RELATEDNESS; SEMANTIC RELATIONSHIPS; WIKIPEDIA MININGS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84901684446     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-06483-3_42     Document Type: Conference Paper

References (13)

1. Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Comput. Netw. ISDN Syst. 30(1-7), 107-117 (1998)
2. Budanitsky, A.: Lexical Semantic Relatedness and its Application in Natural Language Processing. Ph.D. thesis, University of Toronto, Toronto, Ontario (1999)
3. Fagin, R., Kumar, R., Sivakumar, D.: Comparing top k lists. In: Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2003, pp. 28-36. Society for Industrial and Applied Mathematics, Philadelphia (2003)
4. Garla, V., Brandt, C.: Semantic similarity in the biomedical domain: an evaluation across knowledge sources. BMC Bioinformatics 13(1), 1-13 (2012)
5. Jeh, G., Widom, J.: Simrank: a measure of structural-context similarity. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2002, pp. 538-543. ACM, New York (2002)
6. Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. J. ACM 46(5), 604-632 (1999)
7. Landauer, T.K., Foltz, P.W., Laham, D.: An introduction to latent semantic analysis. Discourse Processes 25(2-3), 259-284 (1998)
8. McInnes, B.T., Pedersen, T., Pakhomov, S.V.: UMLS-Interface and UMLSSimilarity: open source software for measuring paths and semantic similarity. In: AMIA Annu. Symp. Proc. 2009, pp. 431-435 (2009)
9. Pakhomov, S., McInnes, B., Adam, T., Liu, Y., Pedersen, T., Melton, G.B.: Semantic Similarity and Relatedness between Clinical Terms: An Experimental Study. In: AMIA Annu. Symp. Proc. 2010, pp. 572-576 (2010)
10. Pakhomov, S.V.S., Pedersen, T., McInnes, B., Melton, G.B., Ruggieri, A., Chute, C.G.: Towards a framework for developing semantic relatedness reference standards. J. of Biomedical Informatics 44(2), 251-265 (2011)
11. Pedersen, T., Pakhomov, S.V., Patwardhan, S., Chute, C.G.: Measures of semantic similarity and relatedness in the biomedical domain. Journal of Biomedical Informatics 40(3), 288-299 (2007)
12. Yeh, E., Ramage, D., Manning, C.D., Agirre, E., Soroa, A.: Wikiwalk: random walks on wikipedia for semantic relatedness. In: Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, TextGraphs-4, pp. 41-49. Association for Computational Linguistics, Stroudsburg (2009)
13. Zhao, P., Han, J., Sun, Y.: P-rank: a comprehensive structural similarity measure over information networks. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, pp. 553-562. ACM, New York (2009)