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A PROBING-BASED APPROACH TO SEMANTIC ANNOTATION OF BIOINFORMATICS WEB SERVICES

Singh, Ravinder

[Thesis]. Manchester, UK: The University of Manchester; 2011.

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Abstract

Semantic annotation of Web services is achieved by associating parts of service interface descriptions (e.g., operations, parameters and datatypes) to concepts defined in a semantic model, such as an ontology. Annotating Web services with semantic metadata is currently a manual procedure that is conducted by human annotators. In practice, however, service annotation can be both time-consuming and error-prone to implement on real-world Web services. We have investigated this problem in the bioinformatics domain, where certain characteristics shared by many Web services make them a difficult breed to annotate with semantics. By taking these characteristics into consideration, in this thesis we describe a probing-based technique that identifies upper and lower semantic bounds for the annotation of Web service input parameters. The output bounds can serve as a useful starting point for human annotators and could help reduce the required effort in the semantic annotation process. Our experiment results showed the probing-based technique was overall able to produce better candidate annotation sets in comparison with an existing string similarity matching based annotation tool.

Bibliographic metadata

Type of resource:
Content type:
Form of thesis:
Type of submission:
Degree type:
Master of Philosophy
Degree programme:
MPhil Computer Science
Publication date:
Location:
Manchester, UK
Total pages:
68
Abstract:
Semantic annotation of Web services is achieved by associating parts of service interface descriptions (e.g., operations, parameters and datatypes) to concepts defined in a semantic model, such as an ontology. Annotating Web services with semantic metadata is currently a manual procedure that is conducted by human annotators. In practice, however, service annotation can be both time-consuming and error-prone to implement on real-world Web services. We have investigated this problem in the bioinformatics domain, where certain characteristics shared by many Web services make them a difficult breed to annotate with semantics. By taking these characteristics into consideration, in this thesis we describe a probing-based technique that identifies upper and lower semantic bounds for the annotation of Web service input parameters. The output bounds can serve as a useful starting point for human annotators and could help reduce the required effort in the semantic annotation process. Our experiment results showed the probing-based technique was overall able to produce better candidate annotation sets in comparison with an existing string similarity matching based annotation tool.
Thesis main supervisor(s):
Thesis advisor(s):
Language:
en

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:123644
Created by:
Singh, Ravinder
Created:
30th May, 2011, 11:19:58
Last modified by:
Singh, Ravinder
Last modified:
2nd November, 2011, 15:14:43

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