Difference between revisions of "KEOD 2016"

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|Notification=2016/06/27
 
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|Has coordinator=Joaquim Filipe,
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|has general chair=Jan Dietz, David Aveiro,
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|has Keynote speaker=Dieter A. Fensel, Frans Coenen, Una-May O'Reilly, Marijn Janssen, Daniel Chirtes,
 
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|Attendance fee=535
 
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[[Category:Semantic Web]]
 
[[Category:Semantic Web]]
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Knowledge Engineering (KE) refers to all technical, scientific and social aspects 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.
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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.

Latest revision as of 15:51, 10 November 2016

KEOD 2016
8th International Conference on Knowledge Engineering and Ontology Development
Event in series KEOD
Dates 2016/11/09 (iCal) - 2016/11/11
Homepage: keod.ic3k.org
Location
Location: Porto, Portugal
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Important dates
Workshops: 2016/06/15
Tutorials: 2016/07/05
Papers: 2016/06/02
Demos: 2016/07/05
Submissions: 2016/06/02
Notification: 2016/06/27
Camera ready due: 2016/09/19
Attendance fee: € 535 / 595 (reduced)
Committees
Organizers: Joaquim Filipe
General chairs: Jan Dietz, David Aveiro
Keynote speaker: Dieter A. Fensel, Frans Coenen, Una-May O'Reilly, Marijn Janssen, Daniel Chirtes
Table of Contents

Knowledge Engineering (KE) refers to all technical, scientific and social aspects 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.