Article

Ontology ranking based on the analysis of concept structures

Authors:

Christopher BrewsterAuthors Info & Claims

K-CAP '05: Proceedings of the 3rd international conference on Knowledge capture

Pages 51 - 58

https://doi.org/10.1145/1088622.1088633

Published: 02 October 2005 Publication History

Abstract

In view of the need to provide tools to facilitate the re-use of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of ontologies. AKTiveRank uses as input the search terms provided by a knowledge engineer and, using the output of an ontology search engine, ranks the ontologies. We apply a number of metrics in an attempt to investigate their appropriateness for ranking ontologies, and compare the results with a questionnaire-based human study. Our results show that AKTiveRank will have great utility although there is potential for improvement.

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Cited By

Sooklall AFonou-Dombeu J(2023)Application of Genetic Algorithm for Complexity Metrics-Based Classification of Ontologies with ELECTRE TriPan-African Artificial Intelligence and Smart Systems10.1007/978-3-031-25271-6_9(135-146)Online publication date: 21-Feb-2023
https://doi.org/10.1007/978-3-031-25271-6_9
Sooklall AFonou-Dombeu J(2022)An Enhanced ELECTRE II Method for Multi-Attribute Ontology Ranking with Z-Numbers and Probabilistic Linguistic Term SetFuture Internet10.3390/fi1410027114:10(271)Online publication date: 21-Sep-2022
https://doi.org/10.3390/fi14100271
Tibaut AGuerra de Oliveira S(2022)A Framework for the Evaluation of the Cultural Heritage Information OntologyApplied Sciences10.3390/app1202079512:2(795)Online publication date: 13-Jan-2022
https://doi.org/10.3390/app12020795
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Index Terms

Ontology ranking based on the analysis of concept structures
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
    2. Retrieval tasks and goals

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cover image ACM Conferences

K-CAP '05: Proceedings of the 3rd international conference on Knowledge capture

October 2005

234 pages

ISBN:1595931635

DOI:10.1145/1088622

General Chairs:
Peter Clark
The Boeing Company, USA
,
Guus Schreiber
Free University of Amsterdam, The Netherlands

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 October 2005

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K-Cap05

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K-Cap05: Third International Conference on Knowledge Capture 2005

October 2 - 5, 2005

Alberta, Banff, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

Sooklall AFonou-Dombeu J(2023)Application of Genetic Algorithm for Complexity Metrics-Based Classification of Ontologies with ELECTRE TriPan-African Artificial Intelligence and Smart Systems10.1007/978-3-031-25271-6_9(135-146)Online publication date: 21-Feb-2023
https://doi.org/10.1007/978-3-031-25271-6_9
Sooklall AFonou-Dombeu J(2022)An Enhanced ELECTRE II Method for Multi-Attribute Ontology Ranking with Z-Numbers and Probabilistic Linguistic Term SetFuture Internet10.3390/fi1410027114:10(271)Online publication date: 21-Sep-2022
https://doi.org/10.3390/fi14100271
Tibaut AGuerra de Oliveira S(2022)A Framework for the Evaluation of the Cultural Heritage Information OntologyApplied Sciences10.3390/app1202079512:2(795)Online publication date: 13-Jan-2022
https://doi.org/10.3390/app12020795
Sooklall AFonou-Dombeu J(2022)A Multi-Criteria Decision-Making Approach to Ontology Ranking with ELECTRE II and IV2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)10.1109/icABCD54961.2022.9856133(1-9)Online publication date: 4-Aug-2022
https://doi.org/10.1109/icABCD54961.2022.9856133
Sooklall AFonou-Dombeu J(2022)Comparative Ranking of Ontologies with ELECTRE Family of Multi-criteria Decision-Making AlgorithmsInformation Integration and Web Intelligence10.1007/978-3-031-21047-1_23(269-281)Online publication date: 20-Nov-2022
https://doi.org/10.1007/978-3-031-21047-1_23
Amirhosseini M(2021)The Relation between the Combination Levels in the Structure of Concepts Entities and the Amount of Semantic Relations in Improving Information Retrieval Performance in UN, FAO’s Agricultural OntologyIranian Journal of Information Processing and Management10.52547/jipm.36.4.111336:4(1113-1136)Online publication date: 1-Jul-2021
https://doi.org/10.52547/jipm.36.4.1113
Formica APourabbas ETaglino F(2020)Semantic Search Enhanced with Rating ScoresFuture Internet10.3390/fi1204006712:4(67)Online publication date: 15-Apr-2020
https://doi.org/10.3390/fi12040067
Amirhosseini MSalim J(2020)STRUCTURAL ANALYSIS OF SEMANTIC RELATIONS REGARDING INTEGRATION AND ASSOCIATION OF SEMANTIC NETWORK IN VOCBENCH AS AN AGRICULTURAL ONTOLOGYInternational Journal of Engineering Technologies and Management Research10.29121/ijetmr.v6.i5.2019.3716:5(41-57)Online publication date: 25-Mar-2020
https://doi.org/10.29121/ijetmr.v6.i5.2019.371
Galitsky BGalitsky B(2019)Building Chatbot ThesaurusDeveloping Enterprise Chatbots10.1007/978-3-030-04299-8_8(221-252)Online publication date: 5-Apr-2019
https://doi.org/10.1007/978-3-030-04299-8_8
Savić MIvanović MJain LSavić MIvanović MJain L(2018)Analysis of Ontology NetworksComplex Networks in Software, Knowledge, and Social Systems10.1007/978-3-319-91196-0_4(143-175)Online publication date: 11-May-2018
https://doi.org/10.1007/978-3-319-91196-0_4
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