has been cited by the following article(s):
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Semantic enrichment of product data supported by machine learning techniques
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2017 |
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[2]
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Management of Knowledge Sources Supported by Domain Ontologies: Building and Construction Case Studys
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Intelligent Systems in Accounting, Finance and Management,
2015 |
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[3]
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Document Clustering Using an Ontology-Based Vector Space Model
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International Journal of Information Retrieval Research (IJIRR),
2015 |
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[4]
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A Semantic Enrichment Approach Based on the Vector Space Model Supporting Collaboration in the Manufacturing Domain
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ASME 2015 International Mechanical Engineering Congress and Exposition,
2015 |
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[5]
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Semantic enrichment of knowledge sources supported by domain ontologies
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2014 |
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[6]
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A knowledge-based framework to facilitate E-training implementation
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2014 |
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[7]
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KNOWLEDGE REPRESENTATIONS WITH ONTOLOGY SUPPORT FOR COLLABORATIVE ENGINEERING IN ARCHITECTURE ENGINEERING AND CONSTRUCTION
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Journal of Information Technology in Construction,
2014 |
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[8]
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Classification of Knowledge Representations using an Ontology-based Approach.
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2013 |
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[9]
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Facilitating knowledge sharing and reuse in building and construction domain: an ontology-based approach
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Journal of Intelligent Manufacturing,
2013 |
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[10]
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Capturing Knowledge Representations Using Semantic Relationships An Ontology-based Approach
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SEMAPRO 2012, The Sixth International Conference on Advances in Semantic Processing,
2012 |
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[11]
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Information retrieval in collaborative engineering projects-A vector space model approach
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2012 |
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[12]
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Capturing knowledge representations using semantic relationships
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2012 |
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[13]
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Ontology-based customer preference modeling for concept generation
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Advanced Engineering Informatics,
2011 |
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[14]
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Guiding concept generation based on ontology for customer preference modeling
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International Symposium series on Tools and Methods of Competitive Engineering (TMEC), Ancona, Italy,
2010 |
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[1]
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Information Retrieval and Management
2018
DOI:10.4018/978-1-5225-5191-1.ch085
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[2]
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Semantic enrichment of product data supported by machine learning techniques
2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC),
2017
DOI:10.1109/ICE.2017.8280056
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[3]
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Facilitating knowledge sharing and reuse in building and construction domain: an ontology-based approach
Journal of Intelligent Manufacturing,
2016
DOI:10.1007/s10845-013-0856-5
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[4]
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Management of Knowledge Sources Supported by Domain Ontologies: Building and Construction Case Studys
Intelligent Systems in Accounting, Finance and Management,
2015
DOI:10.1002/isaf.1361
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[5]
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Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1
Advances in Intelligent Systems and Computing,
2015
DOI:10.1007/978-3-319-13728-5_43
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[6]
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Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1
Advances in Intelligent Systems and Computing,
2015
DOI:10.1007/978-3-319-13728-5_43
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[7]
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Management of Knowledge Sources Supported by Domain Ontologies: Building and Construction Case Studys
Intelligent Systems in Accounting, Finance and Management,
2015
DOI:10.1002/isaf.1361
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[8]
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Ontology-based customer preference modeling for concept generation
Advanced Engineering Informatics,
2011
DOI:10.1016/j.aei.2010.07.007
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