Difference between revisions of "KEOD 2016"
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|Acronym =KEOD 2016 | |Acronym =KEOD 2016 | ||
| − | |End date =2016 | + | |End date =2016-11-11 |
|Series =KEOD | |Series =KEOD | ||
|Type =Conference | |Type =Conference | ||
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|State =PT/13 | |State =PT/13 | ||
|City =PT/13/Porto | |City =PT/13/Porto | ||
| + | |Year =2016 | ||
|Homepage =keod.ic3k.org | |Homepage =keod.ic3k.org | ||
| − | |Start date =2016 | + | |Start date =2016-11-09 |
| − | |Title =8th International Conference on Knowledge Engineering and Ontology Development}} | + | |Title =8th International Conference on Knowledge Engineering and Ontology Development |
| + | }} | ||
[[Category:Semantic Web]] | [[Category:Semantic Web]] | ||
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. | 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. | 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 02:23, 6 December 2021
Event Rating
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List of all ratings can be found at KEOD 2016/rating
| KEOD 2016 | |
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8th International Conference on Knowledge Engineering and Ontology Development
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| Event in series | KEOD |
| Dates | 2016-11-09 (iCal) - 2016-11-11 |
| Homepage: | keod.ic3k.org |
| Location | |
| Location: | PT/13/Porto, PT/13, PT |
| 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.