Semantic similarity computation on the web of data

Authors
Zheng, Jin Guang
ORCID
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Other Contributors
Fox, Peter A.
Hendler, James A.
Magdon-Ismail, Malik
Bao, Jie
Issue Date
2014-12
Keywords
Computer science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
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
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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