Computer Science> Artificial Intelligence

By adding constraints over aspects that the Seeker is interested in, the query can be used to filter out irrelevant advertisements. There are two kinds of queries that can be defined: The persistent query is a query that will remain valid for a length of time defined by the Seeker itself. The Host immediately returns matched advertisements that are currently present in the repository. Within the validity period of the query, whenever a matching advertisement is added to the repository or an advertisement is modified so that it becomes a match , the Host will notify the Seeker with a new set of matched advertisements including those that have been changed or have been added. The persistent query is automatically removed when the validity period is ended. After the advertiser published his advertisement to the Host, the Host notifies an ID indicating the advertisement to the advertiser. Later on, this ID is used between the Host and the advertiser to specify which advertisement is to be modified or withdrawn. There is an obvious security issue involved, but we simply assume that all the partners in this framework are trusted. It maintains an advertisement repository, where published advertisements are stored.

List of R package on github

Service-oriented Computing introduces a range of possible applications spanning from the combination of Web services in software mashups to the design and implementation of entire IT system landscapes following the paradigm of Service-oriented Architectures. The discovery of services which provide a desired capability is one of the basic operations in Service-oriented Computing and is deemed to be one of the grand challenges in Web service research.

This applies in particular to scenarios with a large number of service offers, where it is desirable to automate the discovery process to some degree. Service discovery is based on the description of service components, e.

Matchmaking Framework for Mathematical Web Services Simone A. Ludwig 1, j, Omer F. Rana 1, Julian Padget 2 and William Naylor 2 1 School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, UK.

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OWLS-MX: Hybrid OWL-S Service Matchmaking – Semantic Scholar

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.

The focus of our studies on service composition is to find effective and efficient approaches to comprehensive quality-aware semantic Web service composition, which aims to optimize semantic matchmaking quality and Quality of service (QoS) simultaneously.

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. For instance, the opportunity to manage supply chains dynamically, to achieve market advantage, is expected to increase productivity and add value to products. On the other hand, automatic management of supply chains presents new challenges. In these pages, we present our Semantic Matchmaker, an entity that will allow web services to locate other services, provide a solution to the problem of matching, and allow for full implementation of interoperative service providers on the web.

We show how semantic matching between advertisements and requests is performed. Semantic Matchmaking for Web Services Discovery First, we focus on the problem of locating web services on the basis of the capabilities that they provide.

Semantic web services matchmaking using bipartite graph matching with ranking

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.

service matchmaking algorithm. The mere existence of semantic descriptions does not improve service discovery, the semantic information need to be incorporated during the matchmaking process. In order to Efficient discovery of semantic web services M.R. Thansekhar and N. Balaji.

This application exploits expert knowledge of the tourism domain captured in rules and ontologies and consumes a consolidated repository of relevant tourism resources RDF instances extracted from different legacy databases: User profiles and interests, as well as user-defined constraints, are modeled with an ontology. A semantic matchmaking algorithm is applied to find the most interesting resources for each profile, and a planner organizes the selections into an optimal route. The authors discuss the main challenges and design choices.

Chapter Preview Top Cruzar: Nowadays, many tourists plan their trips in advance using the information available in 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.

Publications

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.

The Semantic Web technologies, especially OWL and OWL-S, are gaining momentum and generating suitable technologies and tools to cover both the metadata and the algorithmic aspects. In this paper, we introduce a step-by-step matching algorithm that can be used to determine the semantic similarity of two Web Services.

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. One approach to cope with this problem is to tolerate logical failures by complementary approximate matching based on syntactic similarity computations.

We acknowledge that the adaptation to the latter eventually is on the user end. Current approaches to semantic Web service matching do not exploit semantics that are implicit, for example, in patterns or relative frequencies of terms in service descriptions as computed by techniques from data mining, linguistics, or content-based information retrieval IR.

In this paper, we provide experimental evidence in favor of our hypothesis that hybrid approaches to semantic matching that exploit both formal and implicit semantics may improve the retrieval performance of semantic service matching over purely logic-based ones, and indicate tradeoffs. The remainder of the paper is structured as follows. In section 4, we provide the results of our experiments of measuring the performance and scalability of OWLS-MX matchmaking variants.

We briefly comment on related work in section 5, and conclude in section 6. Rather, it is implicit in the relative frequencies of indexed terms of these expressions, and exploited by string edit or token based IR similarity metrics with associated term weighting schemes.

New PDF release: Semantic Web Services: Advancement through Evaluation

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.

Then a matchmaking algorithm based on the semantic information is proposed. Finally the design and implementation of a prototype for the automatic discovery of web services is described. Keywords: Web service, Semantic web, discovery, Elearning. 1. Introduction.

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.

flexible semantic matchmaking engine – IT-Designers

The need still exists for automatic WS composition to solve the problems within various domains. Many research efforts have been conducted in automatic WS composition using different techniques. In the context of the AI planning technique, the work of Hatzi et al. The approach is based on transforming the WS composition problem into a planning problem that is encoded in PDDL and solved by external planners.

The produced composite services are transformed back to OWL-S.

Web Services are one of the fastest growing areas of information technology in recent years, also being a main motivating factor for internet computations in which, one of the services being, service discovery.

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.

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. This book is aimed at two different types of readers. Researchers on SWS technology receive an overview of existing approaches in SWS with a particular focus on evaluation approaches; potential users of SWS technologies receive a comprehensive summary of the respective strengths and weaknesses of current systems and thus guidance on factors that play a role in evaluation.

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8. Comp Sci IJCSEITR ENHANCEMENT OF SEMANTIC MATCHMAKING Kalpesh Chaudhari

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. These works may not be reposted without the explicit permission of the copyright holder. Abstract In the next generation of the Internet semantic annotations will enable software agents to extract and interpret web content more quickly than it is possible with current techniques.

The focus of this paper is to develop security annotations for web services that are represented in DAML-S and used by agents.

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.

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.

QoS Matchmaking Algorithm for Dynamic Web Services Selection Java Project