Semantic similarity computation on the web of data
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Authors
Zheng, Jin Guang
Issue Date
2014-12
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
Abstract
Over the last few decades, many efforts have been devoted to researching and developing effective semantic similarity computation algorithms for different scenarios, such as similarity between free text, and similarity between objects. As the result of these efforts, there are many semantic similarity computation algorithms that utilize different information sources, for example, information content based algorithms like the vector space model; ontology based edge counting methods, like semantic similarity methods in WordNet; structure or feature based methods, like Tversky's model.
Description
December 2014
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY