Abstract
Information Science (IS) is an ambiguous field as its boundaries overlap with other domains such as Archive Science, Library Science and Computing Science which requires defined clear definition. This study creates a systematic and comprehensive ontology targeted to explore IS boundaries and foundations. This paper uses Mereotopolgy theory to describe classes, instances and their relations. The classes are created based on taxonomy of IS to create an asserted model of Information Science Ontology (ISO) that can be as a skeletal foundation for knowledge base. The main classes are Actors, Method, Practice, Studies, Mediate, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Time, and Space. The design is based on Methontology to create ISO from scratch. Its framework facilitates the construction of ontology at the knowledge levels. It is found that identifying the IS boundaries through implementation ontology workflow is encoded using Protégé and Web Ontology Language (OWL) for formalizing and representation of the ISO. ISO is an effective way to represent knowledge and overcome semantic heterogeneity, ISO is a fundamental integration between semantic that realizes the interoperability information of the domain.
| Original language | English |
|---|---|
| Title of host publication | Information Retrieval Methods for Multidisciplinary Applications |
| Publisher | IGI Global |
| Chapter | 9 |
| Pages | 132-155 |
| Number of pages | 24 |
| ISBN (Electronic) | 9781466638990 |
| ISBN (Print) | 1466638982, 9781466638983 |
| DOIs | |
| Publication status | Published - 30 Apr 2013 |
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Virtual community of practice ontocop : Towards a new model of Information Science Ontology (ISO). / Sawsaa, Ahlam; Lu, Zhongyu.
Information Retrieval Methods for Multidisciplinary Applications. IGI Global, 2013. p. 132-155.Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Virtual community of practice ontocop
T2 - Towards a new model of Information Science Ontology (ISO)
AU - Sawsaa, Ahlam
AU - Lu, Zhongyu
PY - 2013/4/30
Y1 - 2013/4/30
N2 - Information Science (IS) is an ambiguous field as its boundaries overlap with other domains such as Archive Science, Library Science and Computing Science which requires defined clear definition. This study creates a systematic and comprehensive ontology targeted to explore IS boundaries and foundations. This paper uses Mereotopolgy theory to describe classes, instances and their relations. The classes are created based on taxonomy of IS to create an asserted model of Information Science Ontology (ISO) that can be as a skeletal foundation for knowledge base. The main classes are Actors, Method, Practice, Studies, Mediate, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Time, and Space. The design is based on Methontology to create ISO from scratch. Its framework facilitates the construction of ontology at the knowledge levels. It is found that identifying the IS boundaries through implementation ontology workflow is encoded using Protégé and Web Ontology Language (OWL) for formalizing and representation of the ISO. ISO is an effective way to represent knowledge and overcome semantic heterogeneity, ISO is a fundamental integration between semantic that realizes the interoperability information of the domain.
AB - Information Science (IS) is an ambiguous field as its boundaries overlap with other domains such as Archive Science, Library Science and Computing Science which requires defined clear definition. This study creates a systematic and comprehensive ontology targeted to explore IS boundaries and foundations. This paper uses Mereotopolgy theory to describe classes, instances and their relations. The classes are created based on taxonomy of IS to create an asserted model of Information Science Ontology (ISO) that can be as a skeletal foundation for knowledge base. The main classes are Actors, Method, Practice, Studies, Mediate, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Time, and Space. The design is based on Methontology to create ISO from scratch. Its framework facilitates the construction of ontology at the knowledge levels. It is found that identifying the IS boundaries through implementation ontology workflow is encoded using Protégé and Web Ontology Language (OWL) for formalizing and representation of the ISO. ISO is an effective way to represent knowledge and overcome semantic heterogeneity, ISO is a fundamental integration between semantic that realizes the interoperability information of the domain.
UR - http://www.scopus.com/inward/record.url?scp=84944081079&partnerID=8YFLogxK
U2 - 10.4018/978-1-4666-3898-3.ch009
DO - 10.4018/978-1-4666-3898-3.ch009
M3 - Chapter
SN - 1466638982
SN - 9781466638983
SP - 132
EP - 155
BT - Information Retrieval Methods for Multidisciplinary Applications
PB - IGI Global
ER -