A configurable matchmaking framework for electronic marketplaces

Dumas, Marlon; Benatallah, Boualem; Russell, Nick; Spork, Murray

doi:10.1016/j.elerap.2003.09.003

Cited by 16 publications

(7 citation statements)

References 13 publications

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“…As a result, the performance of service discovery and service matchmaking can be enhanced by semanticizing the web service descriptions. Service matchmaking refers to the process of matching between service requests and similar service advertisements in the web service environment [18,33]. The reason for using semantic web technologies is that the aforementioned web service description languages can specify the operations and data structure, but cannot specify the meaning and semantic constraints of data involved in web services, which may generate problems during the matchmaking process [41].…”

Section: Semantic Service Matchmakersmentioning

confidence: 99%

Semantic service matchmaking for Digital Health Ecosystems

Dong

Hussain

2011

Knowledge-Based Systems

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The vision of Digital Ecosystems was initiated by the European Commission, with the purpose of constructing an information and communication technology environment to facilitate the sustainable development of small and medium enterprises. As a key subdomain of Digital Ecosystems, Digital Health Ecosystems provide crucial services to maintain the health of the main participants of Digital Ecosystems. We are concerned with the large-scale, ambiguous, heterogeneous, and untrustworthy health service information in Digital Health Ecosystems. An intensive survey found that current research cannot support accurate and trustworthy matchmaking between health service requests and health service advertisements in Digital Health Ecosystems. Therefore, in this paper, we propose a framework of a semantic service matchmaker, by taking into account the ambiguous, heterogeneous nature of service information in Digital Health Ecosystems. This framework is designed to make four major contributions, which are health service domain knowledge modeling, online health service information disambiguation, health service query disambiguation and health service quality evaluation and ranking. In order to thoroughly evaluate this framework, we implement a prototype-a Semantic Health Service Search Engine, and execute a series of experiments on the prototype using a functional testing and simulation approach.

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Section: Semantic Service Matchmakersmentioning

confidence: 99%

Semantic service matchmaking for Digital Health Ecosystems

Dong

Hussain

2011

Knowledge-Based Systems

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“…Whereas USML makes use of UDDI data elements to specify queries, other authors have proposed the use of more sophisticated criteria. Dumas et al (2004) propose a framework to describe trading intentions as constraints on attributes of a given schema (ontology). The example given is that of a car buyer who wants to find a car of a certain model, not older than a number of years and within a certain price range, where model, year and price are attributes defined by the given schema.…”

Section: Supporting Partner Search and Selectionmentioning

confidence: 99%

Business Networking with Web Services

Ferreira

2007

Handbook of Enterprise Systems Architecture in Practice

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This chapter describes how the latest advances in Web services technology are paving the way toward dynamic B2B integration. It begins by distinguishing between three kinds of life cycles: the operational life cycle, the B2B trading life cycle, and the business networking life cycle. In the past, most B2B integration solutions have been designed to support the operational life cycle by specifying a set of predefined B2B conversations. We will show that Web services can be used to settle those conversations at run-time, and that they can support the B2B trading life cycle all the way from partner search to contracting, operation, and evaluation. In general, though, the B2B trading life cycle may change across different markets, which requires mechanisms for a company to retrieve information about how it should proceed once it enters a new market. These mechanisms belong to the business networking life cycle, and they can be supported by Web services as well. The conclusion is that Web services provide the required features to support the full life cycle of business collaborations.

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“…Matchmaking is the process of searching the space of possible matches between generic request and offer descriptions to find most promising ones (Dumas et al, 2004;Kaufer and Klusch, 2006;Kuster et al, 2007;Pastore, 2007;Sioutas et al, 2007). During web service composition, application system need find suitable services which could be installed at different servers.…”

Section: Introductionmentioning

confidence: 99%