SciTePress - Affiliation Profile

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Affiliation

Select a Subject
Refine Ontology Subject

University of Zaragoza, Zaragoza, Spain, Aragon Institute of Engineering Research (I3A), Zaragoza and Spain

Context (please use complete words only)

Field

Sort by

1 Papers

Some Reflections on the Discovery of Hyponyms between Ontologies

Topics: Knowledge Management; Ontology Engineering; Semantic Web Technologies and Applications

Authors: Ignacio Huitzil ¹ , Fernando Bobillo ² , Eduardo Mena ² , Carlos Bobed ³ and Jesús Bermúdez ⁴

Affiliations: ¹ University of Zaragoza, Zaragoza and Spain , ² University of Zaragoza, Zaragoza, Spain, Aragon Institute of Engineering Research (I3A), Zaragoza and Spain , ³ University of Zaragoza, Zaragoza, Spain, everis / NTT Data, Zaragoza and Spain , ⁴ University of the Basque Country (UPV/EHU), Donostia-San Sebastián and Spain

Digital Object Identifier: 10.5220/0007720201300140

Proceedings of ICEIS 2019, ISBN: 978-989-758-372-8

Quick Abstract

Using intelligent techniques to automatically compute semantic relationships across ontologies is a challenging task that is necessary in many real-world applications requiring the integration of semantic information coming from different sources. However, most of the work in the field is restricted to the discovery of synonymy relationships. Hyponymy relationships, although in the real world they are more frequent than synonymy, have not received similar attention. In this paper, we evaluate a technique based on shared properties used in the discovery of hyponymy relationships and identify some limitations of ontology sets commonly used as benchmarks. We also argue that new lexical similarity measures are needed and discuss a preliminary proposal.

Related Ontology Subjects/Areas/Topics (18)

Artificial Intelligence	Information Systems Analysis and Specification	Semantic Web Technologies
Biomedical Engineering	Knowledge Engineering and Ontology Development	Services Science
Cloud Computing	Knowledge Management	Society, e-Business and e-Government
Data Engineering	Knowledge-Based Systems	Software Agents and Internet Computing
Enterprise Information Systems	Ontologies and the Semantic Web	Symbolic Systems
Health Information Systems	Ontology Engineering	Web Information Systems and Technologies