Heterogeneous information knowledge construction based on Ontology

© 2016 Universitas Ahmad Dahlan.Describing and representing multi-source and heterogeneous knowledge is a popular research topic in recent years. After investigating knowledge forming process based on multi-source heterogeneous information resources, we present a new approach in which different info...

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Main Authors: Gan, J., Xie, G., Yan, Y., Liu, Wan-Quan
Format: Journal Article
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/51994
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author Gan, J.
Xie, G.
Yan, Y.
Liu, Wan-Quan
author_facet Gan, J.
Xie, G.
Yan, Y.
Liu, Wan-Quan
author_sort Gan, J.
building Curtin Institutional Repository
collection Online Access
description © 2016 Universitas Ahmad Dahlan.Describing and representing multi-source and heterogeneous knowledge is a popular research topic in recent years. After investigating knowledge forming process based on multi-source heterogeneous information resources, we present a new approach in which different information resources are put into a mutual RDF(S) data model, and semantic reasoning of RDF(S) is conducted. Moreover, a knowledge base construction framework for multi-source heterogeneous information source with combination of Ontology knowledge model is put forward, and an algorithm of knowledge base construction is also proposed, in which the core issues are knowledge inclusion and updating. Then the time complexity of our algorithm is analyzed. Finally, in order to solve the heterogeneous, and uneven horizontal of geographical distribution of ethnic minority information resources in Yunnan Province, we use the proposed method to construct a domain knowledge base for ethnic minority information resources, and use this model to evaluate the efficiency for the knowledge inclusion algorithm in responding time and indexing responding time for different data resources in our experiments.
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:50:00Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-519942023-02-22T06:24:23Z Heterogeneous information knowledge construction based on Ontology Gan, J. Xie, G. Yan, Y. Liu, Wan-Quan © 2016 Universitas Ahmad Dahlan.Describing and representing multi-source and heterogeneous knowledge is a popular research topic in recent years. After investigating knowledge forming process based on multi-source heterogeneous information resources, we present a new approach in which different information resources are put into a mutual RDF(S) data model, and semantic reasoning of RDF(S) is conducted. Moreover, a knowledge base construction framework for multi-source heterogeneous information source with combination of Ontology knowledge model is put forward, and an algorithm of knowledge base construction is also proposed, in which the core issues are knowledge inclusion and updating. Then the time complexity of our algorithm is analyzed. Finally, in order to solve the heterogeneous, and uneven horizontal of geographical distribution of ethnic minority information resources in Yunnan Province, we use the proposed method to construct a domain knowledge base for ethnic minority information resources, and use this model to evaluate the efficiency for the knowledge inclusion algorithm in responding time and indexing responding time for different data resources in our experiments. 2016 Journal Article http://hdl.handle.net/20.500.11937/51994 10.12928/TELKOMNIKA.v14i4.4787 unknown
spellingShingle Gan, J.
Xie, G.
Yan, Y.
Liu, Wan-Quan
Heterogeneous information knowledge construction based on Ontology
title Heterogeneous information knowledge construction based on Ontology
title_full Heterogeneous information knowledge construction based on Ontology
title_fullStr Heterogeneous information knowledge construction based on Ontology
title_full_unstemmed Heterogeneous information knowledge construction based on Ontology
title_short Heterogeneous information knowledge construction based on Ontology
title_sort heterogeneous information knowledge construction based on ontology
url http://hdl.handle.net/20.500.11937/51994