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Knowledge Engineering (KE) refers to all technical, scientific and social as-pects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and geographic information systems. Ontology Development (OD) aims at building reusable semantic structures that can be informal vocabularies, catalogs, glossaries as well as more complex finite formal structures representing the entities within a domain and the relationships between those entities. Ontologies, have been gaining interest and acceptance in computational audiences: formal ontologies are a form of software, thus software development methodologies can be adapted to serve ontology development. A wide range of applications is emerging, especially given the current web emphasis, including library science, ontology-enhanced search, e-commerce and business process design.

征稿信息

重要日期

2016-06-02
初稿截稿日期

征稿范围

CONFERENCE TOPICS

  • Decision Support Systems

  • Domain Analysis and Modeling

  • Enterprise Ontology

  • Expert Systems

  • Human-Machine Cooperation

  • Integration and Interoperability

  • Knowledge Acquisition

  • Knowledge Engineering

  • Knowledge Representation

  • Natural Language Processing

  • Ontology Engineering

  • Ontology Matching and Alignment

  • Ontology Sharing and Reuse

  • Semantic Web

  • Business Process Management

  • Enterprise Engineering

  • Domain Ontologies

  • Education and Training

  • Applications and Case-studies

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重要日期
  • 会议日期

    11月09日

    2016

    08月11日

    2017

  • 06月02日 2016

    初稿截稿日期

  • 08月11日 2017

    注册截止日期

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