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In Proceedings of ACE Nashville 4th Joint Symposium on IT in Civil Engineering, Nashville, Tennessee 15-16 November 2003. Semantic-Web Supported Knowledge Management System: An Approach to Enhance
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Engineering, Aalborg University, Sohngaardsholmsvej 67, 9000 Aalborg, Denmark; i6ycl civil.AUC.DK 3 Department of Engineering, Aarhus University, Aarhus 1031A, Denmark; i6ycl civil.AUC.DK 4 Department of Applied Engineering and IT, Aarhus University, Aarhus 1028A, Denmark; i6ycl civil.AUC.DK 5 University of Washington, Seattle, WA 98195 1Department of Electrical Engineering/Engineering Physics (EEC) 2 Dept. of Civil Engineering/Mechanical Structures (MSE) 2 Dept. of Civil Engineering/Biological Sciences (CSE) 2 Dept. of Civil Engineering/Civil Engineering Laboratory 2 Dept. of Computer Science/Electronic Engineering 4 Materials Science and Engineering 9 Dept. of Electrical Engineering/EEC 19 Dept. of Civil Engineering/Mechanical Structures (MSE) 28 Dept. of Electronic Engineering 19 Dept. of Computer Science/Electronic Engineering 41 Materials Science and Engineering 16 Dept. of Civil Engineering/Biological Sciences (CSE) 32 Dept. of Computer Science/Electronic Engineering 20 Office of Engineering Technology Support and Services 21 Department of Buildings, Institute of Buildings, The City College of New York University of Science and Technology, Brooklyn, New York 1 Department of Environmental Services, University of Southern California, Downside College of Letters and Science — Los Angeles 2 Department of Environmental Services, University of Southern California 2 Department of Environmental Services, University of Southern California 1 Department of Environmental Services 2 Dept. of Environmental Services 1 Department of Environmental Services 18 Environmental Services 17 Environmental Services 18 Environmental Services 23 Environmental Services 25 Environmental Services 26 Environmental Services 34 Environmental Services 37 Environmental Services 41 Environmental Services 42 Environmental Services 53 Environmental Services 53 Environmental Services 57 Environmental Services 60 Environmental Services 65 Environmental Services 68 Environmental Services 75 Environmental Services 77 Environmental Services 79 Environmental Services 83 Environmental Services 88 Environmental Services 91 Environmental Services 93 Environmental Services 99 Environmental Services 100 ECE Department of Computer Science 1 ECE Department of Computer Science 2 ECE Department of Computer Science 3 ECE Department of Computer Science and Electrical Engineering Department of Computer Science and Electrical Engineering (EEC) — Dept. of Computer Science; Dept. of Electrical Engineering; Dept. of Electrical Engineering and Computer Science University of Toronto Mississauga-Dundas Campus; Bldg.

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Semantic-web supported knowledge management is an approach that utilizes semantic web technologies to organize, categorize, and retrieve knowledge. It aims to enhance the efficiency and effectiveness of knowledge management processes by leveraging the semantic relationships between data and concepts.
There is no specific requirement for filing semantic-web supported knowledge management. It is a framework or methodology that organizations can choose to adopt in order to improve their knowledge management practices.
Filling out semantic-web supported knowledge management involves implementing semantic web technologies, such as RDF (Resource Description Framework) and OWL (Web Ontology Language), to represent, organize, and query knowledge. It also requires the use of relevant tools and standards to harness the full potential of semantic web technologies.
The purpose of semantic-web supported knowledge management is to enable more effective knowledge discovery, acquisition, representation, sharing, and utilization. By leveraging semantic web technologies, it aims to overcome the limitations of traditional knowledge management systems and improve the accessibility, interoperability, and intelligence of knowledge repositories.
The information reported on semantic-web supported knowledge management depends on the specific implementation and requirements of the organization. Generally, it includes structured and semantically annotated data, ontologies, mappings, and metadata that describe the relationships, context, and semantics of the knowledge being managed.
There is no specific deadline for filing semantic-web supported knowledge management as it is not a filing or reporting requirement mandated by any governing body. The adoption and implementation of semantic-web supported knowledge management depend on the organizational priorities and timelines.
There is no penalty for the late filing of semantic-web supported knowledge management as it is not a filing requirement. However, organizations may miss out on the benefits and opportunities that semantic web technologies offer in terms of improved knowledge management and decision-making processes.
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