Representation and evaluation of hierarchical knowledge in formal ontologies

Chun Xia Zhang

Representation and evaluation of hierarchical knowledge in formal ontologies

Chun Xia Zhang^*

^*Corresponding author for this work

CAS - Institute of Computing Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the knowledge, especially, the hierarchical knowledge. In this paper, we propose building principles of hierarchical knowledge, and identify different types of relations between categories (same relation, proper including relation, intersectional relation, compatible and parallel relation, disparate relation, contradicted relation, and opposite relation), and present an approach to evaluate the correctness of hierarchal knowledge based on different types of attributes of categories. We also address an application of this approach to building and evaluating the hierarchical knowledge of archaeological domain.

Original language	English
Title of host publication	International Conference on Machine Learning and Cybernetics
Pages	324-329
Number of pages	6
Publication status	Published - 2003
Externally published	Yes
Event	2003 International Conference on Machine Learning and Cybernetics - Xi'an, China Duration: 2 Nov 2003 → 5 Nov 2003

Publication series

Name	International Conference on Machine Learning and Cybernetics
Volume	1

Conference

Conference	2003 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Xi'an
Period	2/11/03 → 5/11/03

Keywords

Category
Evaluation
Hierarchical knowledge

Cite this

@inproceedings{4e36b4880d43408c9729a46053cfefcb,

title = "Representation and evaluation of hierarchical knowledge in formal ontologies",

abstract = "Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the knowledge, especially, the hierarchical knowledge. In this paper, we propose building principles of hierarchical knowledge, and identify different types of relations between categories (same relation, proper including relation, intersectional relation, compatible and parallel relation, disparate relation, contradicted relation, and opposite relation), and present an approach to evaluate the correctness of hierarchal knowledge based on different types of attributes of categories. We also address an application of this approach to building and evaluating the hierarchical knowledge of archaeological domain.",

keywords = "Category, Evaluation, Hierarchical knowledge",

author = "Zhang, {Chun Xia}",

year = "2003",

language = "English",

isbn = "0780378652",

series = "International Conference on Machine Learning and Cybernetics",

pages = "324--329",

booktitle = "International Conference on Machine Learning and Cybernetics",

note = "2003 International Conference on Machine Learning and Cybernetics ; Conference date: 02-11-2003 Through 05-11-2003",

}

TY - GEN

T1 - Representation and evaluation of hierarchical knowledge in formal ontologies

AU - Zhang, Chun Xia

PY - 2003

Y1 - 2003

N2 - Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the knowledge, especially, the hierarchical knowledge. In this paper, we propose building principles of hierarchical knowledge, and identify different types of relations between categories (same relation, proper including relation, intersectional relation, compatible and parallel relation, disparate relation, contradicted relation, and opposite relation), and present an approach to evaluate the correctness of hierarchal knowledge based on different types of attributes of categories. We also address an application of this approach to building and evaluating the hierarchical knowledge of archaeological domain.

AB - Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the knowledge, especially, the hierarchical knowledge. In this paper, we propose building principles of hierarchical knowledge, and identify different types of relations between categories (same relation, proper including relation, intersectional relation, compatible and parallel relation, disparate relation, contradicted relation, and opposite relation), and present an approach to evaluate the correctness of hierarchal knowledge based on different types of attributes of categories. We also address an application of this approach to building and evaluating the hierarchical knowledge of archaeological domain.

KW - Category

KW - Evaluation

KW - Hierarchical knowledge

UR - http://www.scopus.com/inward/record.url?scp=1542358867&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:1542358867

SN - 0780378652

T3 - International Conference on Machine Learning and Cybernetics

SP - 324

EP - 329

BT - International Conference on Machine Learning and Cybernetics

T2 - 2003 International Conference on Machine Learning and Cybernetics

Y2 - 2 November 2003 through 5 November 2003

ER -

Representation and evaluation of hierarchical knowledge in formal ontologies

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Cite this