Concept Learning For Achieving Personalized Ontologies: An Active Learning Approach

Murat Sensoy, Pinar Yolum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic and its maintenance is cumbersome. Burden of maintaining a common ontology can be alleviated by enabling agents to evolve their ontologies personally. However, with different ontologies, agents are likely to run into communication problems since their vocabularies are different from each other. Therefore, to achieve personalized ontologies, agents must have a means to understand the concepts used by others. Consequently, this paper proposes an approach that enables agents to teach each other concepts from their ontologies using examples. Unlike other concept learning approaches, our approach enables the learner to elicit most informative examples interactively from the teacher. Hence, the learner participates to the learning process actively. We empirically compare the proposed approach with the previous concept learning approaches. Our experiments show that using the proposed approach, agents can learn new concepts successfully and with fewer examples.
Original languageEnglish
Title of host publicationAgents and Data Mining Interaction
Subtitle of host publication4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers
EditorsLongbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S Yu
PublisherSpringer Berlin / Heidelberg
Pages170-182
Number of pages13
Volume5680
ISBN (Electronic)978-3-642-03603-3
ISBN (Print)978-3-642-03602-6
DOIs
Publication statusPublished - 4 Aug 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume5680
ISSN (Print)0302-9743

Fingerprint

Ontology
Problem-Based Learning
Dynamical systems
Communication
Experiments

Keywords

  • concept learning
  • data mining

Cite this

Sensoy, M., & Yolum, P. (2009). Concept Learning For Achieving Personalized Ontologies: An Active Learning Approach. In L. Cao, V. Gorodetsky, J. Liu, G. Weiss, & P. S. Yu (Eds.), Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers (Vol. 5680, pp. 170-182). (Lecture Notes in Computer Science; Vol. 5680). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-03603-3_13

Concept Learning For Achieving Personalized Ontologies : An Active Learning Approach. / Sensoy, Murat; Yolum, Pinar.

Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers. ed. / Longbing Cao; Vladimir Gorodetsky; Jiming Liu; Gerhard Weiss; Philip S Yu. Vol. 5680 Springer Berlin / Heidelberg, 2009. p. 170-182 (Lecture Notes in Computer Science; Vol. 5680).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensoy, M & Yolum, P 2009, Concept Learning For Achieving Personalized Ontologies: An Active Learning Approach. in L Cao, V Gorodetsky, J Liu, G Weiss & PS Yu (eds), Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers. vol. 5680, Lecture Notes in Computer Science, vol. 5680, Springer Berlin / Heidelberg, pp. 170-182. https://doi.org/10.1007/978-3-642-03603-3_13
Sensoy M, Yolum P. Concept Learning For Achieving Personalized Ontologies: An Active Learning Approach. In Cao L, Gorodetsky V, Liu J, Weiss G, Yu PS, editors, Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers. Vol. 5680. Springer Berlin / Heidelberg. 2009. p. 170-182. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-03603-3_13
Sensoy, Murat ; Yolum, Pinar. / Concept Learning For Achieving Personalized Ontologies : An Active Learning Approach. Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers. editor / Longbing Cao ; Vladimir Gorodetsky ; Jiming Liu ; Gerhard Weiss ; Philip S Yu. Vol. 5680 Springer Berlin / Heidelberg, 2009. pp. 170-182 (Lecture Notes in Computer Science).
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