Meaning negotiation based on merged individual context ontology and part of semantic web ontology

Keskes, Nabil; Rahmoun, Abdellatif

doi:10.1504/ijict.2017.086830

Cited by 2 publications

(8 citation statements)

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“…Introducing a streamlined conceptual model inspired by prior research (Keskes & Rahmoun, 2017;De Moor, 2005), our proposed methodology seeks to mitigate complexities within the pragmatic web, introducing a contextual dimension to meaning negotiation. The study contributes practical insights, offering a refined scenario applicable to diverse domain ontologies within the Semantic Web.…”

Section: Pgmentioning

confidence: 99%

“…In meaning negotiation, three key classes-ontological (Keskes & Rahmoun, 2017;De Moor, 2005;Van Diggelen, 2007;Burato, 2011;Maarif, 2020;Zhu, et al, 2021), logical (Burato, 2011), cognitive (Lindh-Knuutila, 2006) and non-structured (Jones, 2020;Schenker, 2021;Myrendal, 2019)-define contextual representation. Ontological representation is widely used for information sharing, and structured domain knowledge, though finding an optimal granularity remains a challenge.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Intelligent agents, acting on behalf of community members, engage in negotiation within distributed environments. Auctions (Keskes & Rahmoun, 2017;De Moor, 2005), as open distributed systems, facilitate competition without altering agents' knowledge. In contrast, argument-based negotiation (Burato, 2011;Van Diggelen, 2007) allows agents to adapt knowledge based on opposing arguments.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In meaning negotiation, it improves communication and retrieves contextually relevant information, crucial for efficient problem-solving. The commercial sector stands out in web-based meaning negotiation (Keskes & Rahmoun, 2017;De Moor, 2005), with the potential for generalization across diverse domains.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It emphasizes human collaboration through a process called ontology negotiation, with a specific focus on meaning negotiation (Van Diggelen, et al, 2007). This crucial process involves harmonizing interpretations of terminology within a semantic framework, essentially bridging the gap between Artificial Intelligence (AI) and the field of Knowledge Representation (KR) (Keskes & Rahmoun, 2017;Schoop, et al 2006).…”

Section: Introductionmentioning

confidence: 99%

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Advancements in Meaning Negotiation for Enhanced Semantic Collaboration in Information Systems

Dalila,

Elhannani

2024

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Pragmatic Web emerges from Semantic Web to empower human-computer collaboration. The majority of methods rely on knowledge exchange and reuse through ontologies and rules, leading to the development of interactive systems through distributed multiagent systems over the web. Meaning negotiation becomes crucial for agents to reach a consensus on the meaning of concepts within a domain. Various approaches have been suggested to enhance the pragmatics of the web through meaning negotiation. In this scope, Aldo de Moor’s pragmatic web model integrates contextual and domain ontologies in a case study. The model explores the potential of ontology merging to enhance the meaning of negotiation. Ontology merging streamlines communication by reducing negotiation steps, and fostering more efficient collaboration across diverse domains. This paper explores the potential of Aldo de Moor's pragmatic web model to improve the meaning negotiation process in multiple domains. To assess the efficacy of merging ontologies in meaning negotiation, the authors designed 123 scenarios applicable to 30 different domain ontologies. These scenarios encompassed various contextual situations, simulating real-world interactions between agents. The effectiveness of our approach is demonstrated in this paper through an example in the e-recruitment domain. The result demonstrated a statistically significant reduction in negotiation steps when using the merged ontology compared to traditional methods. The Kolmogorov-Smirnov test revealed an 87% reduction (p-value < 0.05), highlighting the effectiveness of the approach.

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Section: Pgmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Advancements in Meaning Negotiation for Enhanced Semantic Collaboration in Information Systems

Dalila,

Elhannani

2024

Resourceedings

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Meaning Negotiation Based on Merged Individual Context Ontology and Part of Semantic Web Ontology

Graba

Keskes

Bensaber

2022

International Journal of Organizational and Collective Intelligence

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The meaning negotiation process has become a confusing term in the pragmatic web. It does not depend only on convenience to agree, but requires an excellent choice of terms used in the negotiated domain. The presented paper proposes a meaning negotiation model using ontologies merging into several domains and contextual situations. The idea is to design meaning negotiation scenarios using ontologies merging extended into several domains. The results obtained show the impact of merging in meaning negotiation on the multi-agent systems. The influence of merging is interpreted by the dependence between two variables: the meaning negotiation step numbers and the merging ontologies. The authors observe the difference between meaning negotiation step numbers with and without merging. They conclude that merging ontologies has a positive influence on meaning negotiation in different contextual situations of scenarios. To demonstrate the influence, an observable analytical study proof under statistical control is applied.

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Meaning negotiation based on merged individual context ontology and part of semantic web ontology

Cited by 2 publications

References 0 publications

Advancements in Meaning Negotiation for Enhanced Semantic Collaboration in Information Systems

Advancements in Meaning Negotiation for Enhanced Semantic Collaboration in Information Systems

Meaning Negotiation Based on Merged Individual Context Ontology and Part of Semantic Web Ontology

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