Date of Award
2015
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Computer Science
Committee Chair
Letha Etzkorn
Committee Member
Timothy S. Newman
Committee Member
Sampson Gholston
Committee Member
Daniel Rochowiak
Committee Member
Huaming Zhang
Subject(s)
Ontologies (Information retrieval), Data mining., Semantic Web.
Abstract
When matching different semantically tagged web service interfaces in the semantic web, it is often necessary to map one ontology to another ontology at runtime, on the fly. In many cases, knowing which nodes are the best nodes to start the matching process before the process begins (which are called anchor nodes) can make the ontology matching much easier. Traditionally, anchor node selection has been performed by humans. However, this is not practical for on-the-fly situations, occurring at runtime. Here we validate a methodology for determining anchor nodes automatically. Our results are shown to be successful, meaning that we were able to create equations based on various metrics that enabled us to fairly accurately identify anchor nodes.
Recommended Citation
Wu, Zhiqiang, "An approach to finding good anchor nodes in ontologies" (2015). Dissertations. 69.
https://louis.uah.edu/uah-dissertations/69