Automatic fuzzy ontology generation for semantic Web

Ontology is an important part of the W3C standards for the Semantic Web used to specify standard conceptual vocabularies to exchange data among systems, provide reusable knowledge bases, and facilitate interoperability across multiple heterogeneous systems and databases. However, current ontology is not sufficient for handling vague information that is commonly found in many application domains. A feasible solution is to import the fuzzy ability to extend the classical ontology. In this article, we propose a fuzzy ontology generation framework from the fuzzy relational databases, in which the fuzzy ontology consists of fuzzy ontology structure and instances. We simultaneously consider the schema and instances of the fuzzy relational databases, and respectively transform them to fuzzy ontology structure and fuzzy RDF data model. This can ensure the integrality of the original structure as well as the completeness and consistency of the original instances in the fuzzy relational databases.

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Towards Semantic Web Services: An empirical evaluation of service ontology generation tools

2015 Annual IEEE India Conference (INDICON) ◽

10.1109/indicon.2015.7443777 ◽

2015 ◽

Author(s):

Sowmya Kamath S. ◽

Ananthanarayana V.S.

Keyword(s):

Web Services ◽

Semantic Web ◽

Empirical Evaluation ◽

Semantic Web Services ◽

Service Ontology ◽

Ontology Generation

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Automatic Ontology Construction

Advances in Library and Information Science - Critical Approaches to Information Retrieval Research ◽

10.4018/978-1-7998-1021-6.ch007 ◽

2020 ◽

pp. 109-149

Author(s):

Amita Arora

Keyword(s):

Semantic Web ◽

World Wide ◽

Quality Information ◽

Ontology Construction ◽

Internet Connection ◽

Generation Technique ◽

Unstructured Text ◽

Ontology Generation ◽

High Quality Information ◽

Work Done

World wide web has information resources even on unthinkable subjects. This information may be available instantly to anyone having Internet connection. This web is growing exponentially, and it is becoming difficult to locate useful information in such a sheer volume of information. Semantic web extends the current web by emphasizing on interoperable ontologies which are capable of processing high quality information so that the agents placed on top of semantic web can automate the work or curate the content for the user. In this chapter, an extensive research in the area of ontology construction is presented, and after having a critical look over the work done in this field and considering the limitation of each, it has been observed that constructing ontology automatically is a challenging task as this task faces difficulties due to unstructured text and ambiguities in English text. In this work an ontology generation technique is devised covering all important aspects missing in the existing works giving better performance as compared to another system.

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