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Directly Deriving Binary Relation Types From Concept Types, especially Process or Role Types
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In: Supplementary proceedings of the ICCS 2016, 22nd International Conference on Conceptual Structures ; ICCS 2016, 22nd International Conference on Conceptual Structures ; https://hal.univ-reunion.fr/hal-01477244 ; ICCS 2016, 22nd International Conference on Conceptual Structures, Jul 2016, Annecy, France. pp.20-23 (2016)
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Abstract:
International audience ; This article proposes an ontology design pattern for leading knowledge providers to represent knowledge in more normalized, precise and interrelated ways, hence in ways that help the matching and exploitation of knowledge from different sources. This pattern is a knowledge sharing best practice that is domain and language independent. It can be used as a criteria for measuring the quality of an ontology. This pattern is: "using binary relation types directly derived from concept types, especially role types or types of process". The article explains and illustrates this pattern, and relates it to other patterns and general ontology quality criteria. It also provides an ontology for automatically deriving relation types from concept types (e.g., those from lexical ontologies such as those derived from the WordNet lexical database). This derivation helps normalizing knowledge, reduces having to introduce new relation types and helps keeping all the types organized.
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Keyword:
[INFO]Computer Science [cs]; best practices; Knowledge sharing/normalization/matching; relation type generation
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URL: https://hal.univ-reunion.fr/hal-01477244/document
https://hal.univ-reunion.fr/hal-01477244
https://hal.univ-reunion.fr/hal-01477244/file/Deriving_binary_relation_types_from_concept_types_submitted_version.pdf
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Improving General Knowledge Sharing via an Ontology of Knowledge Representation Language Ontologies
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In: Knowledge Discovery, Knowledge Engineering and Knowledge Management ; https://hal.univ-reunion.fr/hal-01479767 ; Fred A.; Dietz J.; Aveiro D.; Liu K.; Filipe J. Knowledge Discovery, Knowledge Engineering and Knowledge Management, 553, Springer, pp.364-387, 2015, Communications in Computer and Information Science, ⟨10.1007/978-3-319-25840-9_23⟩ ; http://link.springer.com/chapter/10.1007/978-3-319-25840-9_23 (2015)
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Organizing Linked Data Quality Related Methods
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In: Proceedings of the International Conference on Information and Knowledge Engineering ; https://hal.univ-reunion.fr/hal-01187220 ; Proceedings of the International Conference on Information and Knowledge Engineering, Jul 2012, Nevada, United States. pp.376--382 (2012)
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Some Knowledge Normalization Methods
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In: Informatics 2011 ; https://hal.univ-reunion.fr/hal-01188012 ; Informatics 2011, Jul 2011, Rome, Italy. pp.184--191 (2011)
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Towards a collaboratively-built knowledge base of & for scalable knowledge sharing and retrieval
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In: https://hal.univ-reunion.fr/tel-03451236 ; Artificial Intelligence [cs.AI]. Université de La Réunion, 2009 (2009)
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