Ontology model for national science and technology

Michelle Lim Sien Niu; Nor Ezam Bin Selan; Dickson Lukose; Anita Binti Bahari

doi:10.1007/978-3-642-32826-8_22

Ontology model for national science and technology

Michelle Lim Sien Niu, Nor Ezam Bin Selan, Dickson Lukose, Anita Binti Bahari

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Heterogeneous data from various sources related to the National Science and Technology (NST) domain can be represented using ontological modelling. Data about researchers, research organizations, research projects, publications and research facilities are represented in Resource Description Framework (RDF), enabling all the data to relate to each other and can be easily made accessible to the user. Reusing standard existing vocabularies such as Friend-of-A-Friend (FOAF), Dublin Core Metadata Initiative (DCMI) and Semantically-Interlinked Online Communities (SIOC) also enable knowledge reusability and interoperability. This paper will talk about the techniques used to model the ontology for Malaysia Science, Technology and Innovation Knowledge Base system.

Original language	English
Title of host publication	Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers
Pages	216-225
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-32826-8_22
Publication status	Published - 2012
Externally published	Yes
Event	Knowledge Technology Week 2011 - Kajang, Malaysia Duration: 18 Jul 2011 → 22 Jul 2011 Conference number: 3rd https://link.springer.com/book/10.1007%2F978-3-642-32826-8 (SpringerLink - entire proceedings)

Publication series

Name	Communications in Computer and Information Science
Volume	295 CCIS
ISSN (Print)	1865-0929

Conference

Conference	Knowledge Technology Week 2011
Abbreviated title	KTW 2011
Country/Territory	Malaysia
City	Kajang
Period	18/07/11 → 22/07/11
Internet address	https://link.springer.com/book/10.1007%2F978-3-642-32826-8 (SpringerLink - entire proceedings)

Keywords

Knowledge Base
National Science and Technology
Ontology Modelling
Resource Description Framework
Semantic Technology

Access to Document

10.1007/978-3-642-32826-8_22

Cite this

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title = "Ontology model for national science and technology",

abstract = "Heterogeneous data from various sources related to the National Science and Technology (NST) domain can be represented using ontological modelling. Data about researchers, research organizations, research projects, publications and research facilities are represented in Resource Description Framework (RDF), enabling all the data to relate to each other and can be easily made accessible to the user. Reusing standard existing vocabularies such as Friend-of-A-Friend (FOAF), Dublin Core Metadata Initiative (DCMI) and Semantically-Interlinked Online Communities (SIOC) also enable knowledge reusability and interoperability. This paper will talk about the techniques used to model the ontology for Malaysia Science, Technology and Innovation Knowledge Base system.",

keywords = "Knowledge Base, National Science and Technology, Ontology Modelling, Resource Description Framework, Semantic Technology",

author = "Niu, {Michelle Lim Sien} and Selan, {Nor Ezam Bin} and Dickson Lukose and Bahari, {Anita Binti}",

year = "2012",

doi = "10.1007/978-3-642-32826-8_22",

language = "English",

isbn = "9783642328251",

series = "Communications in Computer and Information Science",

pages = "216--225",

booktitle = "Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers",

note = "Knowledge Technology Week 2011, KTW 2011 ; Conference date: 18-07-2011 Through 22-07-2011",

url = "https://link.springer.com/book/10.1007%2F978-3-642-32826-8",

}

Niu, MLS, Selan, NEB, Lukose, D & Bahari, AB 2012, Ontology model for national science and technology. in Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers. Communications in Computer and Information Science, vol. 295 CCIS, pp. 216-225, Knowledge Technology Week 2011, Kajang, Malaysia, 18/07/11. https://doi.org/10.1007/978-3-642-32826-8_22

Ontology model for national science and technology. / Niu, Michelle Lim Sien; Selan, Nor Ezam Bin; Lukose, Dickson et al.

Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers. 2012. p. 216-225 (Communications in Computer and Information Science; Vol. 295 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Ontology model for national science and technology

AU - Niu, Michelle Lim Sien

AU - Selan, Nor Ezam Bin

AU - Lukose, Dickson

AU - Bahari, Anita Binti

N1 - Conference code: 3rd

PY - 2012

Y1 - 2012

N2 - Heterogeneous data from various sources related to the National Science and Technology (NST) domain can be represented using ontological modelling. Data about researchers, research organizations, research projects, publications and research facilities are represented in Resource Description Framework (RDF), enabling all the data to relate to each other and can be easily made accessible to the user. Reusing standard existing vocabularies such as Friend-of-A-Friend (FOAF), Dublin Core Metadata Initiative (DCMI) and Semantically-Interlinked Online Communities (SIOC) also enable knowledge reusability and interoperability. This paper will talk about the techniques used to model the ontology for Malaysia Science, Technology and Innovation Knowledge Base system.

AB - Heterogeneous data from various sources related to the National Science and Technology (NST) domain can be represented using ontological modelling. Data about researchers, research organizations, research projects, publications and research facilities are represented in Resource Description Framework (RDF), enabling all the data to relate to each other and can be easily made accessible to the user. Reusing standard existing vocabularies such as Friend-of-A-Friend (FOAF), Dublin Core Metadata Initiative (DCMI) and Semantically-Interlinked Online Communities (SIOC) also enable knowledge reusability and interoperability. This paper will talk about the techniques used to model the ontology for Malaysia Science, Technology and Innovation Knowledge Base system.

KW - Knowledge Base

KW - National Science and Technology

KW - Ontology Modelling

KW - Resource Description Framework

KW - Semantic Technology

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U2 - 10.1007/978-3-642-32826-8_22

DO - 10.1007/978-3-642-32826-8_22

M3 - Conference Paper

AN - SCOPUS:84865574627

SN - 9783642328251

T3 - Communications in Computer and Information Science

SP - 216

EP - 225

BT - Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers

T2 - Knowledge Technology Week 2011

Y2 - 18 July 2011 through 22 July 2011

ER -

Ontology model for national science and technology

Abstract

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Conference

Keywords

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Cite this