Categorizing or Generating Relation Types and Organizing Ontology Design Patterns - Université de La Réunion Access content directly
Conference Papers Year : 2017

Categorizing or Generating Relation Types and Organizing Ontology Design Patterns

Abstract

This article proposes an ontology design pattern leading knowledge providers to represent knowledge in more normalized, precise and inter-related ways, hence in ways that help automatic matching and exploitation of knowledge from different sources. This pattern is also 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 process types”. The article explains this pattern and relates it to other ones, thereby illustrating ways to organize such patterns. It also provides a top-level ontology for generating relation types from concept types, e.g., those from lexical ontologies such as those derived from the WordNet lexical database. This generation and categorization helps normalizing knowledge, reduces having to introduce new relation types and helps keeping all the types organized.
Fichier principal
Vignette du fichier
Categorizing_or_generating_relation_types_and_organizing_ontology_design_pattern.pdf (495.19 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01816473 , version 1 (16-11-2018)

Identifiers

  • HAL Id : hal-01816473 , version 1

Cite

Philippe Martin, Jérémy Bénard. Categorizing or Generating Relation Types and Organizing Ontology Design Patterns. KAM'17, 23rd IEEE conference on Knowledge Acquisition and Management, Sep 2017, Prague, Czech Republic. pp.1109-1117. ⟨hal-01816473⟩
75 View
141 Download

Share

Gmail Mastodon Facebook X LinkedIn More