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Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the integration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.
Social Sciences --- Library & Information Science --- metadata --- social applications --- semantic applications --- Dublin Core --- Folksonomy --- Library of Congress Subject Headings --- Resource Description Framework --- Simple Knowledge Organization System --- Uniform Resource Identifier
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Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the integration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.
Choose an application
Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web — the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the integration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways (”participatory metadata”) is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.
Social Sciences --- Library & Information Science --- metadata --- social applications --- semantic applications --- Dublin Core --- Folksonomy --- Library of Congress Subject Headings --- Resource Description Framework --- Simple Knowledge Organization System --- Uniform Resource Identifier
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This book constitutes the refereed proceedings of the 6 th International Conference on Knowledge Science, Engineering and Management, KSEM 2013, held in Dalian City, China, in August 2013. The 50 revised papers (33 regular papers, 18 short papers, and keynote and invited talks) were carefully reviewed and selected from various submissions.
Computer science. --- Software engineering. --- Data mining. --- Computer Science. --- Software Engineering/Programming and Operating Systems. --- Software Engineering. --- Data Mining and Knowledge Discovery. --- Knowledge acquisition (Expert systems) --- Information technology --- Knowledge management --- Data mining --- Decision making --- Problem solving --- Engineering & Applied Sciences --- Computer Science --- Data processing --- Acquisition, Knowledge (Expert systems) --- Expertise acquisition (Expert systems) --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Computer software engineering --- Informatics --- IT (Information technology) --- Data Mining. --- Empfehlungssystem. --- Entscheidungsunterstützungssystem. --- Ontologie (Wissensverarbeitung) --- Social Tagging. --- Soft Computing. --- Wissensbasiertes System. --- Wissenserwerb. --- Wissensextraktion. --- Wissensmanagement. --- Wissenstechnik. --- Knowledge engineering --- Knowledge-Engineering --- Wissensmodellierung --- Künstliche Intelligenz --- Wissensmanagement --- Semantic Computing --- Semantisches Datenmodell --- Wissen --- Knowledge Management --- Betriebliches Wissensmanagement --- Management --- Wissensorganisation --- Humanvermögen --- Wissensentdeckung --- Wissensgewinnung --- Knowledge Discovery --- Knowledge Discovery in Databases --- KDD --- Wissensextraktion aus Datenbanken --- Regelextraktion aus Datenbanken --- Data Mining --- Information Extraction --- Wissensakquisition --- Konzepterwerb --- Kenntniserwerb --- Wissensaneignung --- Knowledge acquisition --- Kognitives Lernen --- Wissenssystem --- Knowledge system --- Knowledge based system --- Expertensystem --- Softcomputing --- Computational Intelligence --- Subsymbolische Verarbeitung --- Gemeinschaftliches Indexieren --- Gemeinschaftliche Indexierung --- Collaborative Tagging --- Kollaborative Verschlagwortung --- Folksonomy --- Indexierung --- Soziale Software --- Methodology --- Psychology --- Executive functions (Neuropsychology) --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- EUS --- DSS --- Decision support system --- Entscheidungshilfesystem --- Entscheidungssystem --- Unterstützungssystem --- Verhandlungs-Informationssystem --- Recommender System --- Recommendation System --- Informationssystem --- Kollaborative Filterung --- Datamining --- Datenmustererkennung --- Data-Mining --- Suchverfahren --- Wissensextraktion --- Database searching --- Engineering
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