A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces

Colucci, Simona; Noia, Tommaso Di; Sciascio, Eugenio Di; Donini, Francesco M.; Ragone, Azzurra; Rizzi, Raffaele

doi:10.1145/1151454.1151489

Cited by 14 publications

(9 citation statements)

References 27 publications

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“…Colucci et al (2005) showed that such services can be usefully adopted both for semanticmatchmaking and for finding negotiation spaces in an E-Commerce setting. The use of the proposed inference services for refinement purposes in the semantic-matchmaking process has been outlined in the work of Colucci et al (2006).…”

Section: Resultsmentioning

confidence: 99%

“…We have been using MaMaS as matching engine in various applications, including emarketplaces, (see e.g., Colucci, Di Noia, Di Sciascio, Donini, Ragone, & Rizzi, 2006;Colucci et al, 2005) and semantic web services discovery (Ragone, Di Noia, Di Sciascio, Donini, Colucci, & Colasuonno, 2007). We do not delve in details of such applications here, and refer the interested reader to the cited references.…”

Section: The Matchmaking Systemmentioning

confidence: 99%

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Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

Noia¹,

Sciascio²,

Donini³

2007

jair

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Matchmaking arises when supply and demand meet in an electronic marketplace, or when agents search for a web service to perform some task, or even when recruiting agencies match curricula and job profiles. In such open environments, the objective of a matchmaking process is to discover best available offers to a given request.We address the problem of matchmaking from a knowledge representation perspective, with a formalization based on Description Logics. We devise Concept Abduction and Concept Contraction as non-monotonic inferences in Description Logics suitable for modeling matchmaking in a logical framework, and prove some related complexity results. We also present reasonable algorithms for semantic matchmaking based on the devised inferences, and prove that they obey to some commonsense properties.Finally, we report on the implementation of the proposed matchmaking framework, which has been used both as a mediator in e-marketplaces and for semantic web services discovery.

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Section: Resultsmentioning

confidence: 99%

Section: The Matchmaking Systemmentioning

confidence: 99%

Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

Noia¹,

Sciascio²,

Donini³

2007

jair

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“…The state of the art in database systems allows the management of very huge information platforms whose items exhibit their own characteristics. However, an apparent drawback of this approach is due to its ''closed world'' assumption, so that it is difficult to merge and manage the incomplete information (Colucci, 2006). In addition, when using text retrieval-based techniques, the well-known problems of noise and bad recall have to be taken into account (Blair, 1985).…”

Section: Infrastructure Layermentioning

confidence: 99%

An integrated, ontology-based agricultural information system

Liao

Liu

2013

Information Development

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This paper proposes an integrated, ontology-based agricultural information system (AIS) to provide all-round and precise information for efficiently guiding farmers and agri-professionals to conduct agricultural processing. Since the existing independent AIS platforms can only offer specific but incomplete agricultural information service, aiming at this issue, the newly proposed AIS system employs ontology techniques, including RDF-based representation and semantic reasoning, to integrate the index information provided by all involved independent agricultural information platforms. As a result, this newly proposed AIS system can provide users with integrated and accurate response information. Through a realistic case study and relevant experiments, it is clear that the accuracy ratio and integrity ratio of response information offered by this ontology-based integrated AIS can be enhanced to a great extent. In summary, not only agri-professionals, but also farmers, who might not understand information retrieval skills, can benefit from this newly proposed AIS to conduct activities in agricultural production life cycle.

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“…A tabbed panel allows an easy navigation even in large ontologies. Users can concentrate on their current focus and at the same time can freely change the entry point through the upper tabs which record navigation history [9]. Pop-up menus and drag-and-drop are supported to further simplify user interaction.…”

Section: Case Studymentioning

confidence: 99%

RFID meets bluetooth in a semantic based u-commerce environment

Ruta

Noia

Sciascio

et al. 2007

Proceedings of the Ninth International Conference on Electronic Commerce

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We present a novel resource discovery framework for u-commerce. Both the original RFID data exchange protocol and the Bluetooth Service Discovery Protocol have been extended in order to enable support for the semantic annotation of products and goods. Given a request, the approach we propose allows an enhanced discovery process exploiting the semantics of resource descriptions available in a u-marketplace. The enhancement is backward compatible with both the original discovery protocols, thus allowing the smooth coexistence of the resource discovery and/or identification approaches. We present and motivate our approach in an innovative u-commerce framework, and show its benefits.

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A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces

Cited by 14 publications

References 27 publications

Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

An integrated, ontology-based agricultural information system

RFID meets bluetooth in a semantic based u-commerce environment

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