A Semantic Model for Matchmaking of Web Services Based on Description Logics

Results of our comparative measurements of performance and scalability of OWLS-MX variants and selected token-based IR similarity metrics provide experimental evidence that building semantic Web service matchmakers purely on description logic reasoners artificially limits their potential. Experimental results show that logic based only approaches to semantic OWL-S service matching can be outperformed by both content-based and hybrid approaches to semantic service matching. In particular, key to the success of answering the question of whether semantic Web services are relevant to a given query is how well intelligent service agents may perform semantic matching in a way that goes far beyond of what standard service discovery protocols such as UPnP, Jini, or Salutation-Lite can deliver. Central to the majority of contemporary approaches to semantic Web service matching is that formal semantics of both service advertisements, i. It would artificially limit service matching to one type of representation only where expressiveness and value reasoning has been compromised at the expense of computational properties such as decidability 1. For example, relevant semantic Web services which logical concept descriptions only differ from the request in one pair of unmatched conjunctive constraints such as for sibling concepts in a given ontology would not be found by pure logic based approaches to service retrieval.

QoS Parameters of Grid Services and Service Matchmaking

Or, get it for Kobo Super Points! See if you have enough points for this item. Numerous description languages, frameworks, tools, and matchmaking and composition algorithms have been proposed. Nevertheless, when faced with a real-world problem, it is still very hard to decide which of these different approaches to use. In this book, the editors present an overall overview and comparison of the main current evaluation initiatives for SWS.

The presentation is divided into four parts, each referring to one of the evaluation initiatives.

Service discovery is a key aspect in the enabling technologies for service-oriented systems, including web services. Growing attention has been paid to the content of business and service descriptions to allow services to be discovered more flexibly and accurately.

As a result, the motivation to develop a powerful and customizable matchmaking engine becomes a very important criterion. Using semantic information for the matchmaking process achieves better results than syntactic type matchmaking. In this paper an ontologybased service discovery tool, called OntoServiceMatchmaker, is presented which performs flexible semantic matches of customized service requests.

This engine utilizes current semantic matchmaking techniques to perform the service discovery. The description properties and functional attributes of the ontology are properties for the matching values. These properties found by the ontology parser and reasoned by the inference engine serve for the matchmaking process as input variables. The final selection is done by matching the customized service request with the actual service advertisements provided in a registry.

Introduction The Semantic Web is an extension of the current Web in which information is given well-defined meaning. It also enables computers and people to work in cooperation. It is the idea of having data on the Web defined and linked in a way that it can be used for more effective discovery, automation, integration and reuse across various applications [1]. An effort of automating service discovery to propose interoperable standards such as XML to enable uniform representation of service descriptions and capabilities was made.

However, lack of semantics and inherent nonuniformity in these XML representations still make human intervention necessary. Effective service discovery is an important issue not only on the Web but also in every application process where there is a need to tackle the problems arising from service matchmaking.

Intelligent Software Agents

Add to basket Add to wishlist Description Over the last decade, a great amount of effort and resources have been invested in the development of Semantic Web Service SWS frameworks. Numerous description languages, frameworks, tools, and matchmaking and composition algorithms have been proposed. Nevertheless, when faced with a real-world problem, it is still very hard to decide which of these different approaches to use. In this book, the editors present an overall overview and comparison of the main current evaluation initiatives for SWS.

This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements.

The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault, but the structural representation and the knowledge reasoning problem are troubled that we use the historical records effectively. Aiming at the problem, the fault knowledge representation based on ontology is put forward out. Firstly, the knowledge characteristics, the ontology building significance and principle of fault are analyzed.

Secondly, the fault ontology is defined and described. The case study shows that the fault knowledge representation based on ontology is very intuitive and efficient; it can provide us a novel way to deal with the fault diagnosis problem. At the moment, the flexibility of the workflow definition language is not enough, various products lack operation quality between each other, and the compatibility is bad. Aiming at this situation, this thesis defines one kind of workflow model with component based on XPDL, which causes pattern description and process definition to be simply, and enables the separation between process definition and performing to become possible, so that it can truly realize the universal process definition, communication and interpretation.

Semantic Matchmaking Services Model Okkyung Choi, Sangyong Han, Ajith PDF document

Nowadays, many tourists plan their trips in advance using the information that is available on web pages. Cities compete against each other to offer the most attractive and complete information and services through the tourism section of their web sites. However, this often leads to information-bloated and multimedia-rich web sites which are similar to digital versions of printed brochures.

CRUZAR implements a matchmaking algorithm between objects that are described in RDF, and it pipes the results to a planner algorithm. The result is a customized tourism route across the city, that is selected for each visitor profile.

Performance Evaluation of Semantic Service Matchmakers. Discovery and Composition of SemanticWeb Services. Trama Over the last decade, a great amount of effort and resources have been invested in the development of Semantic Web Service SWS frameworks. Numerous description languages, frameworks, tools, and matchmaking and composition algorithms have been proposed. Nevertheless, when faced with a real-world problem, it is still very hard to decide which of these different approaches to use.

In this book, the editors present an overall overview and comparison of the main current evaluation initiatives for SWS. The presentation is divided into four parts, each referring to one of the evaluation initiatives. The introduction to each part provides an overview of the evaluation initiative and overall results for its latest evaluation workshops. The following chapters in each part, written by the participants, detail their approaches, solutions and lessons learned.

Efficient Discovery of Semantic Web Services

The World Wide Web is changing. While once conceived of and implemented as a collection of static pages for browsing, it now promises to become a web of services–a dynamic aggregate of interactive, automated, and intelligent services that interoperate via the Internet. Multiple web services will interoperate to perform tasks, provide information, transact business, and generally take action for users, dynamically and on demand. Such prospects are especially important for the e-business community, providing opportunities for conducting business faster, more efficiently, and with greater ease than ever before.

Over the decade, a large amount of attempt and assets were invested within the improvement of Semantic internet carrier (SWS) frameworks. a variety of description languages, frameworks, instruments, and matchmaking and composition algorithms were proposed. however, while confronted with a real-world challenge, it’s nonetheless very difficult to.

Di Noia , E. Di Sciascio , F. Donini Submitted on 12 Oct Abstract: 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.

Semantic Web Services : Brian Blake :

This is an open access article distributed under the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract With smartphone distribution becoming common and robotic applications on the rise, social tagging services for various applications including robotic domains have advanced significantly. Though social tagging plays an important role when users are finding the exact information through web search, reliability and semantic relation between web contents and tags are not considered.

A computer-implemented method includes receiving a request for a web service and comparing a description of a behavior of the requested web service to a description of a behavior of an existing web service.

To fully fulfill the modularity and loosely coupled characteristics of P2P semantic mapping paradigm proposed in our previous work[1], a mapping creation method based on semantic discovery is presented to avoid a time-consuming and labor-intensive artificial mapping creation process. This method creates semantic mapping between peer node models by establishing the semantic relations between elements from different peer node models.

Semantic relative candidates are captured through the correspondence semantic matching process including concepts matching process, attributes matching process, relations matching process, concepts and relations matching process, and concepts and attributes matching process. To improve the degree of automation for mapping establishment, the hybrid semantic discovery approach is used in the semantic discovery process. The image matching technology is very important technology in computer vision.

It is a wide range of application areas, such as aerial image analysis, industrial inspection, and stereo vision, medical, meteorological, and intelligent robots. The article introduces several important image matching technology, and some common fast image matching usage. Propose the image fast matching method basing on local information, mainly use template matching basing on local image features to achieve, by extraction of the selected feature points including the obvious point, corner points, edge points, edge line, etc.

CBR Case-based reasoning theory is applied to the automobile quality fault diagnosis field.

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