Handling Disagreement in Ontologies-Based Reasoning via Argumentation

Said Jabbour; Yue Ma; Badran Raddaoui

doi:10.1007/978-3-030-34223-4_25

Handling Disagreement in Ontologies-Based Reasoning via Argumentation

Said Jabbour
, Yue Ma
, Badran Raddaoui

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

Abstract

Ontologies are at the heart of the Semantic Web technologies. This paper introduces a framework for reasoning under uncertainty in the context of ontologies represented in description logics; these ontologies could be inconsistent or incoherent. Conflicts are addressed through a form of logic-based argumentation. We examine how the number of attacks and the weights of arguments can be used to define various labelling functions that identify the justification statuses of arguments. Then, different inference relations are distinguished to obtain meaningful answers to queries from imperfect ontologies without extra computational costs compared to classical DL reasoning. Lastly, we study the properties of these new entailment relations and their relationships with other well-known existing ones.

Original language	English
Title of host publication	Web Information Systems Engineering – WISE 2019 - 20th International Conference, Proceedings
Editors	Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang
Publisher	Springer
Pages	389-406
Number of pages	18
ISBN (Print)	9783030342227
DOIs	https://doi.org/10.1007/978-3-030-34223-4_25
Publication status	Published - 1 Jan 2019
Event	20th International Conference on Web Information Systems Engineering, WISE 2019 - Hongkong, Hong Kong Duration: 26 Nov 2019 → 30 Nov 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11881 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Web Information Systems Engineering, WISE 2019
Country/Territory	Hong Kong
City	Hongkong
Period	26/11/19 → 30/11/19

Keywords

Argumentation
Ontologies
Semantic Web
Uncertainty

Access to Document

10.1007/978-3-030-34223-4_25

Cite this

Jabbour, S., Ma, Y., & Raddaoui, B. (2019). Handling Disagreement in Ontologies-Based Reasoning via Argumentation. In R. Cheng, N. Mamoulis, Y. Sun, & X. Huang (Eds.), Web Information Systems Engineering – WISE 2019 - 20th International Conference, Proceedings (pp. 389-406). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11881 LNCS). Springer. https://doi.org/10.1007/978-3-030-34223-4_25

Jabbour, Said ; Ma, Yue ; Raddaoui, Badran. / Handling Disagreement in Ontologies-Based Reasoning via Argumentation. Web Information Systems Engineering – WISE 2019 - 20th International Conference, Proceedings. editor / Reynold Cheng ; Nikos Mamoulis ; Yizhou Sun ; Xin Huang. Springer, 2019. pp. 389-406 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Ontologies are at the heart of the Semantic Web technologies. This paper introduces a framework for reasoning under uncertainty in the context of ontologies represented in description logics; these ontologies could be inconsistent or incoherent. Conflicts are addressed through a form of logic-based argumentation. We examine how the number of attacks and the weights of arguments can be used to define various labelling functions that identify the justification statuses of arguments. Then, different inference relations are distinguished to obtain meaningful answers to queries from imperfect ontologies without extra computational costs compared to classical DL reasoning. Lastly, we study the properties of these new entailment relations and their relationships with other well-known existing ones.",

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author = "Said Jabbour and Yue Ma and Badran Raddaoui",

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Jabbour, S, Ma, Y & Raddaoui, B 2019, Handling Disagreement in Ontologies-Based Reasoning via Argumentation. in R Cheng, N Mamoulis, Y Sun & X Huang (eds), Web Information Systems Engineering – WISE 2019 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11881 LNCS, Springer, pp. 389-406, 20th International Conference on Web Information Systems Engineering, WISE 2019, Hongkong, Hong Kong, 26/11/19. https://doi.org/10.1007/978-3-030-34223-4_25

Handling Disagreement in Ontologies-Based Reasoning via Argumentation. / Jabbour, Said; Ma, Yue; Raddaoui, Badran.
Web Information Systems Engineering – WISE 2019 - 20th International Conference, Proceedings. ed. / Reynold Cheng; Nikos Mamoulis; Yizhou Sun; Xin Huang. Springer, 2019. p. 389-406 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11881 LNCS).

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

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N2 - Ontologies are at the heart of the Semantic Web technologies. This paper introduces a framework for reasoning under uncertainty in the context of ontologies represented in description logics; these ontologies could be inconsistent or incoherent. Conflicts are addressed through a form of logic-based argumentation. We examine how the number of attacks and the weights of arguments can be used to define various labelling functions that identify the justification statuses of arguments. Then, different inference relations are distinguished to obtain meaningful answers to queries from imperfect ontologies without extra computational costs compared to classical DL reasoning. Lastly, we study the properties of these new entailment relations and their relationships with other well-known existing ones.

AB - Ontologies are at the heart of the Semantic Web technologies. This paper introduces a framework for reasoning under uncertainty in the context of ontologies represented in description logics; these ontologies could be inconsistent or incoherent. Conflicts are addressed through a form of logic-based argumentation. We examine how the number of attacks and the weights of arguments can be used to define various labelling functions that identify the justification statuses of arguments. Then, different inference relations are distinguished to obtain meaningful answers to queries from imperfect ontologies without extra computational costs compared to classical DL reasoning. Lastly, we study the properties of these new entailment relations and their relationships with other well-known existing ones.

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KW - Ontologies

KW - Semantic Web

KW - Uncertainty

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Jabbour S, Ma Y, Raddaoui B. Handling Disagreement in Ontologies-Based Reasoning via Argumentation. In Cheng R, Mamoulis N, Sun Y, Huang X, editors, Web Information Systems Engineering – WISE 2019 - 20th International Conference, Proceedings. Springer. 2019. p. 389-406. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-34223-4_25

Handling Disagreement in Ontologies-Based Reasoning via Argumentation

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