{"id":589,"date":"2017-12-20T11:00:26","date_gmt":"2017-12-20T10:00:26","guid":{"rendered":"https:\/\/testwebsite.2018.eswc-conferences.org\/?page_id=589"},"modified":"2017-12-20T11:09:52","modified_gmt":"2017-12-20T10:09:52","slug":"vocabularies-schemas-ontologies","status":"publish","type":"page","link":"\/subtracks\/vocabularies-schemas-ontologies\/","title":{"rendered":"Vocabularies, Schemas, Ontologies"},"content":{"rendered":"
Ontologies, schemas, and vocabularies play a central role in the Semantic Web. They ensure reusability of (linked) data and knowledge, and enable the design and implementation of robust and intelligent applications. A key object of study is the effective construction of ontologies. They can be learned from linked data or text, extracted from legacy datasets, be re-implementations of existing data models, or developed from scratch. Ontology engineering emphasises a knowledge acquisition perspective, and studies the way in which ontologies can be designed in collaboration with domain experts and end users. This gives rise to ontology engineering methodologies, best practices and design patterns. A third strain of research develops theories, methods and algorithms for ontology matching and alignment, versioning, evolution and modularisation.
\nThis track aims to address innovative research on ontologies, vocabularies and schemas for the Semantic Web, Linked Data and semantic technologies in general. We welcome both theoretical and more practical research papers.<\/p>\n
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We welcome papers describing ontologies. In particular, the ontology described must be available for reviewing and the paper must comply with at least one of the following types<\/p>\n
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Important Dates Ontologies, schemas, and vocabularies play a central role in the Semantic Web. They ensure reusability of (linked) data and knowledge, and enable the design and implementation of robust and intelligent applications. A key object of study is the effective construction of ontologies. They can be learned from linked data or text, extracted from […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":155,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\n