scispace - formally typeset
Book ChapterDOI

Construction and Merging of ACM and ScienceDirect Ontologies

M. Priya, +1 more
- pp 238-252
TLDR
This paper presents how two Ontologies can be constructed and merged using Protege and Conexp tools with an example.
Abstract
An Ontology is an absolute formal conceptualization of some realm of significance. Nowadays Ontologies play a vibrant part in Information Architecture, Biomedical Informatics, Electronic commerce, Software Engineering, Semantic Web, Knowledge management, Artificial Intelligence and etc. Huge number of Ontologies and extensive variety of Ontologies are available for every single domain. It creates very difficult to maintain and access all the existing Ontologies. Ontology merging is the solution to overcome this kind of problems. Ontology merging is a procedure of fetching two existing Ontologies as input and obtains a newly merged Ontology as output. The merged Ontology will have common concepts and relationships between two Ontologies. This paper presents how two Ontologies can be constructed and merged using Protege and Conexp tools with an example.

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Citations
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Journal ArticleDOI

An approach to merge domain ontologies using granular computing

TL;DR: This research work proposes the following four granular computing processes, namely, association, isolation, purification, and reduction which can be applied over a group of similar nodes in the ontologies thereby unifying them.
Book ChapterDOI

An Upper Ontology for Modern Science Branches and Related Entities

TL;DR: The Modern Science Ontology (ModSci) as mentioned in this paper is an ontology for modelling relationships between modern science branches and related entities, including scientific discoveries, phenomena, prominent scientists, instruments, etc.
References
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Journal ArticleDOI

Ontologies: principles, methods and applications

TL;DR: This paper outlines a methodology for developing and evaluating ontologies, first discussing informal techniques, concerning such issues as scoping, handling ambiguity, reaching agreement and producing definitions, and considers, a more formal approach.
Proceedings Article

Algorithm and Tool for Automated Ontology Merging and Alignment

TL;DR: In this paper, a semi-automated approach to ontology merging and alignment is presented. But the approach is not suitable for the problem of ontology alignment and merging, as it requires a large and tedious portion of the sharing process.
Proceedings Article

PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment

TL;DR: In this paper, a semi-automated approach to ontology merging and alignment is presented. But the approach is not suitable for the problem of ontology alignment and merging, as it requires a large and tedious portion of the sharing process.
Book

Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web

TL;DR: Theoretical Foundations of Ontologies as discussed by the authors The most outstanding ontologies and methods for building ontologies are discussed in Section 3.1.2.2 Languages for Building Ontologies.
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