Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2009/paper/106> ?p ?o. }
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- 106 creator jose-iria.
- 106 type InProceedings.
- 106 label "A Core Ontology for Knowledge Acquisition".
- 106 sameAs 106.
- 106 abstract "Semantic descriptions of knowledge acquisition (KA) tools and resources enable machine reasoning about KA systems and can be used to automate the discovery and composition of KA services, thereby increasing interoperability among systems and reducing system design and maintenance costs. Whilst there are a few general-purpose ontologies available that could be combined for describing knowledge acquisition, albeit at an inadequate abstraction level, there is as yet no KA ontology based on Semantic Web technologies available. In this paper, we present OAK, a well-founded, modular, extensible and multimedia-aware ontology of knowledge acquisition which extends existing foundational and core Semantic Web ontologies. We start by using a KA tool development scenario to illustrate the complexity of the problem, and identify a number of requirements for OAK. After we present the ontology in detail, we evaluate it with respect to the identified requirements.".
- 106 hasAuthorList authorList.
- 106 hasTopic Annotation.
- 106 hasTopic Application.
- 106 hasTopic Data.
- 106 hasTopic Interoperability.
- 106 hasTopic Language_technology.
- 106 hasTopic Machine_learning.
- 106 hasTopic Natural_language_processing.
- 106 hasTopic Ontology_%28computer_science%29.
- 106 hasTopic Semantic_Web.
- 106 isPartOf proceedings.
- 106 keyword "knowledge acquisition".
- 106 keyword "ontology".
- 106 title "A Core Ontology for Knowledge Acquisition".