COMAT: core ontology of matter. Issue 1 (1st February 2016)
- Record Type:
- Journal Article
- Title:
- COMAT: core ontology of matter. Issue 1 (1st February 2016)
- Main Title:
- COMAT: core ontology of matter
- Authors:
- Madalli, Devika
Sulochana, Anila
Singh, Abhinav Kumar - Abstract:
- Abstract : Purpose: – Matter is an important topic of science as a discipline since its inception. Nevertheless, along with the evolution of semantic web, matter has got equal importance among the ontology developers. The current work describes an ontology of matter that the authors developed in the lab. The purpose of this paper is to come up with an exhaustive list of concepts and relations to cover matter domain under one umbrella, after identifying the gaps in the present ontologies. Design/methodology/approach: – Ontology was developed following faceted analytico-synthetic approach of knowledge organization. The authors followed hybrid developmental approach which includes top-down as well as bottom-up development strategy, for creating classes and subclasses. The authors modelled matter domain comprehensively considering different aspects of matter. The theories behind the modelling approach helps to maintain the consistency of further extensions. Findings: – Final ontology has around 280 concepts and as many as 60 properties which include both object property and datatype property. Research limitations/implications: – There exists very vague definition of concepts in different subject areas, as matter is a domain of study in physics, chemistry, material science, metallurgy, etc. Same material has been adopted differently depending upon purpose of its study/use in that field. For example aspirin is simply a chemical compound in chemistry, whereas in medicine it is alsoAbstract : Purpose: – Matter is an important topic of science as a discipline since its inception. Nevertheless, along with the evolution of semantic web, matter has got equal importance among the ontology developers. The current work describes an ontology of matter that the authors developed in the lab. The purpose of this paper is to come up with an exhaustive list of concepts and relations to cover matter domain under one umbrella, after identifying the gaps in the present ontologies. Design/methodology/approach: – Ontology was developed following faceted analytico-synthetic approach of knowledge organization. The authors followed hybrid developmental approach which includes top-down as well as bottom-up development strategy, for creating classes and subclasses. The authors modelled matter domain comprehensively considering different aspects of matter. The theories behind the modelling approach helps to maintain the consistency of further extensions. Findings: – Final ontology has around 280 concepts and as many as 60 properties which include both object property and datatype property. Research limitations/implications: – There exists very vague definition of concepts in different subject areas, as matter is a domain of study in physics, chemistry, material science, metallurgy, etc. Same material has been adopted differently depending upon purpose of its study/use in that field. For example aspirin is simply a chemical compound in chemistry, whereas in medicine it is also an agent. Practical implications: – Present work claims to influence the ontology engineers to develop more extension to this core ontology of matter (COMAT). Also this will find its use in information retrieval, semantic annotations and in several other semantic knowledge-based systems. Originality/value: – COMAT is the most recent work of the domain. Originality lies in the way matter domain has been looked up, from a very wide perspective, as well as in the approach of modelling the domain. … (more)
- Is Part Of:
- Program. Volume 50:Issue 1(2016)
- Journal:
- Program
- Issue:
- Volume 50:Issue 1(2016)
- Issue Display:
- Volume 50, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2016-0050-0001-0000
- Page Start:
- 103
- Page End:
- 117
- Publication Date:
- 2016-02-01
- Subjects:
- Knowledge representation -- Core ontology -- Faceted analytico-synthetic -- Knowledge modelling -- Matter ontology -- Ontology engineering
Libraries, University and college -- Great Britain -- Automation -- Periodicals
025.30285 - Journal URLs:
- http://www.emeraldinsight.com/journals.htm?issn=0033-0337 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/PROG-01-2015-0002 ↗
- Languages:
- English
- ISSNs:
- 0033-0337
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6864.320000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8221.xml