33 research outputs found

    Matchmaking Framework for B2B E-Marketplaces

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    In the recent years trading on the Internet become more popular. Online businesses gradually replace more and more from the conventional business. Much commercial information is exchanged on the internet, especially using the e-marketplaces. The demand and supply matching process becomes complex and difficult on last twenty years since the e-marketplaces play an important role in business management. Companies can achieve significant cost reduction by using e-marketplaces in their trade activities and by using matchmaking systems on finding the corresponding supply for their demand and vice versa. In the literature were proposed many approaches for matchmaking. In this paper we present a conceptual framework of matchmaking in B2B e-marketplaces environment.B2B Electronic Marketplaces, Conceptual Framework, Matchmaking, Multi- Objective Genetic Algorithm, Pareto Optimal

    Matchmaking Framework for B2B E-Marketplaces

    Get PDF
    In the recent years trading on the Internet become more popular. Online businesses gradually replace more and more from the conventional business. Much commercial information is exchanged on the internet, especially using the e-marketplaces. The demand and supply matching process becomes complex and difficult on last twenty years since the e-marketplaces play an important role in business management. Companies can achieve significant cost reduction by using e-marketplaces in their trade activities and by using matchmaking systems on finding the corresponding supply for their demand and vice versa. In the literature were proposed many approaches for matchmaking. In this paper we present a conceptual framework of matchmaking in B2B e-marketplaces environment

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

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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

    From fuzzy to annotated semantic web languages

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    The aim of this chapter is to present a detailed, selfcontained and comprehensive account of the state of the art in representing and reasoning with fuzzy knowledge in Semantic Web Languages such as triple languages RDF/RDFS, conceptual languages of the OWL 2 family and rule languages. We further show how one may generalise them to so-called annotation domains, that cover also e.g. temporal and provenance extensions

    Semantic Inference on Heterogeneous E-Marketplace Activities

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    An electronic marketplace (e-marketplace) is a common business information space populated with many entities of different system types. Each of them has its own context of how to process activities. This leads to heterogeneous e-marketplace activities, which are difficult to make interoperable and inferred from one entity to another. This study solves this problem by proposing a concept of separation strategy and implementing it through providing a semantic inference engine with a novel inference algorithm. The solution, called the RuleXPM approach, enables one to semantically infer a next e-marketplace activity across multiple contexts/domains. Experiments show that the cross-context/cross-domain semantic inference is achievable. This paper is an understanding of many aspects related to heterogeneous activity inference

    OpĂ©rationnaliser les compĂ©tences transversales en analyse bibliomĂ©trique et en visualisation des rĂ©seaux au thĂšme de l’économie collaborative

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    Une analyse bibliomĂ©trique utilisant la visualisation de rĂ©seaux pour reprĂ©senter le thĂšme de l’Économie collaborative (ÉC) au sein de la recherche scientifique a Ă©tĂ© rĂ©alisĂ©e dans le cadre de ce mĂ©moire. Pour ce faire, 729 documents ont Ă©tĂ© recensĂ©s sur deux bases de donnĂ©es (Scopus et Web of Science). Ces documents ont Ă©tĂ© dĂ©sambiguĂŻsĂ©s, nettoyĂ©s et standardisĂ©s pour ĂȘtre compilĂ©s et analysĂ©s avec BibExcel et VOSviewer. DiffĂ©rentes statistiques bibliomĂ©triques et analyses non Ă©valuatives (cooccurence, cocitation, coauteur) ont pu ĂȘtre exĂ©cutĂ©es et visualisĂ©es afin de mieux comprendre le milieu de l’ÉC. Les rĂ©sultats de cette recherche sont multiples. D’une part, l’importance des États-Unis est notoire, autant au niveau des auteurs, des organisations que des collaborations. Ensuite, diffĂ©rentes grappes thĂ©matiques ont pu ĂȘtre formĂ©es selon la variable Ă©tudiĂ©e. L’importance de la technologie, du tourisme, du dĂ©veloppement durable, de l’aspect managĂ©rial et enfin de la thĂ©orie/conceptualisation de l’ÉC est rĂ©currente. Plusieurs auteurs sont dĂ©terminants dans la littĂ©rature, mais les plus influents sont Russel Belk et Rachel Botsman. Le livre What’s yours is mine (Botsman et Rogers, 2010) est le document le plus citĂ©, et ce malgrĂ© le fait qu’il soit Ă©crit par des auteurs ne provenant pas du milieu acadĂ©mique. Les relations entre les publications Ă©tudiĂ©es dĂ©montrent une cohĂ©sion entre les diffĂ©rentes idĂ©es et thĂ©matiques vĂ©hiculĂ©es dans le domaine, et ce malgrĂ© le fait qu’il existe des problĂšmes dĂ©finitionnels et conceptuels Ă  propos de l’ÉC. Enfin, l’évolution chronologique des publications subit une croissance trĂšs importante depuis 2016 et tĂ©moigne d’un champ de recherche Ă©mergent : le dĂ©veloppement durable. La somme des rĂ©sultats analysĂ©s donne un nouveau regard sur l’ÉC. Elle permet pour les nouveaux chercheurs de les introduire aux caractĂ©ristiques du domaine et sert aux experts Ă  cerner les thĂ©matiques, revues et auteurs Ă  considĂ©rer lors de leurs propres analyses. La mĂ©thodologie et les rĂ©sultats de cette recherche furent publiĂ©s dans le Journal of Cleaner Production (Ertz & Leblanc-Proulx, 2018), le Journal of Markteing Analytics (Ertz & Leblanc-Proulx, 2019a) et le livre Sage Research methods Cases (Ertz & Leblanc-Proulx, 2019b)

    The Sharing Economy in Europe: Developments, Practices, and Contradictions

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    This open access book considers the development of the sharing and collaborative economy with a European focus, mapping across economic sectors, and country-specific case studies. It looks at the roles the sharing economy plays in sharing and redistribution of goods and services across the population in order to maximise their functionality, monetary exchange, and other aspects important to societies. It also looks at the place of the sharing economy among various policies and how the contexts of public policies, legislation, digital platforms, and other infrastructure interrelate with the development and function of the sharing economy. The book will help in understanding the future (sharing) economy models as well as to contribute in solving questions of better access to resources and sustainable innovation in the context of degrowth and growing inequalities within and between societies. It will also provide a useful source for solutions to the big challenges of our times such as climate change, the loss of biodiversity, and recently the coronavirus disease pandemic (COVID-19). This book will be of interest to academics and students in economics and business, organisational studies, sociology, media and communication and computer science

    The Sharing Economy in Europe

    Get PDF
    This open access book considers the development of the sharing and collaborative economy with a European focus, mapping across economic sectors, and country-specific case studies. It looks at the roles the sharing economy plays in sharing and redistribution of goods and services across the population in order to maximise their functionality, monetary exchange, and other aspects important to societies. It also looks at the place of the sharing economy among various policies and how the contexts of public policies, legislation, digital platforms, and other infrastructure interrelate with the development and function of the sharing economy. The book will help in understanding the future (sharing) economy models as well as to contribute in solving questions of better access to resources and sustainable innovation in the context of degrowth and growing inequalities within and between societies. It will also provide a useful source for solutions to the big challenges of our times such as climate change, the loss of biodiversity, and recently the coronavirus disease pandemic (COVID-19). This book will be of interest to academics and students in economics and business, organisational studies, sociology, media and communication and computer science
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