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.
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
11月09日
2016
08月11日
2017
初稿截稿日期
注册截止日期
2018年09月18日 西班牙
第10届知识工程与本体发展国际会议2017年11月01日 葡萄牙 Funchal,Portugal
2017第九届知识工程与本体发展国际会议2015年11月12日 葡萄牙
第七届知识工程和本体发展国际会议
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