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In this paper, a semantic distance-based matchmaking algorithm SDMA is introduced. The idea behind SDMA is to use the measurement of the semantic distance between the user request and the tested service as an indicator of the degree of relevance between them. In addition to many proposals, a new concepts tree is proposed to perform the process of computing the semantic distance between two concepts. SDMA bases on many concept-to-concept semantic distance measures that are modified and adapted. A deep evaluation process is performed to validate the great impact of using semantic distance measures in the field of SWSs matchmaking. Previous article in issue Recommended articles Citing articles 0 Tamer A.

The Google file system

Similarity-based Web Service Matchmaking With the increasing growth in popularity of Web services, matchmaking of relevant Web services be UDDI provides limited search facilities allowing only a keyword-based search of businesses, services, and the so called tModels based on names and identifiers. This category-based keyword-browsing method is clearly insufficient.

The semantic search agent interacts with user and semantic Web services. The system proposes to combine complimentary aspects of two research topics (smart Web query engine and matchmaking algorithm of OWL-S/UDDI matchmaker) to facilitate the provision of Web services to a user.

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. This competition often leads to information-bloated and multimedia-rich web sites which resemble digital versions of printed brochures.

Every potential visitor is served with the same information on the web, regardless of his profile. On the other hand, when visitors enter a tourism office in the real world, they can obtain customized information and recommendations based on their profile and desires. CRUZAR is a web application that uses expert knowledge in the form of rules and ontologies and a comprehensive repository of relevant data instances to build a custom route for each visitor profile.

Tourism officials often desire to provide attractive and innovative services to promote the city, its tourism infrastructure and to increase the number of visitors. On the other hand, administrations, like city councils, would like to extract the most profit from the IT resources they already have.

A view of cloud computing

Introduction to the Special Issue: The promise of the Semantic Web is to make machine understandable all the information available on the Web. The knowledge on any specific domain can be stored in an explicit and reusable format by means of ontology languages. Moreover, exploiting the formal semantics of ontology languages, implicit knowledge can be elicited through automated reasoning mechanisms.

Semantic Web technologies open new scenarios and suggest new approaches to classical problems. The envisaged applications are obvious in e-commerce, Web services, and peer-to-peer interaction, to mention a few.

Look improved matchmaking algorithm for semantic web services based on bipartite graph matching hard porn improved matchmaking algorithm for semantic web services based on bipartite graph matching videos an download it.

The Internet is on the verge of another revolution. The development of the World Wide Web made the Internet accessible to millions by making it easy for anyone to publish and access documents on the Internet. However, the explosive growth of the Web has led to the problem of information overload. Researchers from industry and academia are now exploring the possibility of creating a “Semantic Web,” in which meaning is made explicit, allowing machines to process and integrate Web resources intelligently.

Beyond enabling quick and accurate web search, this technology may also allow the development of intelligent internet agents and facilitate communication between a multitude of heterogeneous web-accessible devices. In this class, we will examine this exciting area by reading and discussing both existing web specifications and cutting-edge research papers.

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Annotations can be exported in OWL-S. ASSAM is still under development and should be seen as a “technology preview”, not an industrial-strength application. Download and detailed instructions on http: Jaeger, Technische Universitaet Berlin The matcher demonstrates another algorithm that outputs different degrees of matching for individual elements of DAML-S descriptions. In detail, the algorithm considers elements of the service profile.

The semantic matchmaking process is executed individually for each POI, and its output is a calculated score for the resource (“subjective interest”). The value of this score depends on how many of the visitor’s interests (derived from their profile) are fulfilled by each POI.

In most of them, I had the lead for one or more core research work packages. I have 45 publications in international workshops, conferences, and journals. I have been actively serving the scientific community as a PC member or reviewer since Current Projects For more details, see Stanford Opendata Initiative Website Declarative Workflows Recently, I have started working on methods and techniques that allow developers to declaratively specify the workflows as opposed to typically procedural business processes.

We believe that the tasks of translating organizational or personal policies to declarative workflows and incrementally maintaining declarative workflows are easier than in case of procedural workflows. Furthermore, the users of systems based on declarative workflows can specify their personal agents declaratively and add them to the running system in a seamless way.

Dexter I have co-developed Dexter, which is a browser-based data explorer for end users. Dexter also allows end users to visualize, export, and share their data or analysis results with other users. Dexter stores and evaluates user queries at the client side and implemented with Javascript. As the query language, we use Datalog extended with negation, recursion, sets, and an extensive list of builtins for primitive datatypes such as strings, numbers, and dates.

For more details, see Dexter Website Smart Web Browsing I have a developed and implemented a technique that allows end-user to extract structured data from Web pages while they browse.

A Semantic Similarity Algorithm for Geographic Information Service Matching

Decoding algorithms with strong practical value not only have good decoding performance, but also have the computation complexity as low as possible. For this purpose, the paper points out the modified min-sum decoding algorithm M-MSA. On the condition of no increasing in the decoding complexity, it makes the error-correcting performance improved by adding the appropriate scaling factor based on the min-sum algorithm MSA , and it is very suitable for hardware implementation.

matchmaking algorithm and finally we present our conclusions and give the directions for future work. 2. RELATED WORK Quality of Service research for Web services is an active research area. Many works from both semantic of Web services and their associated QoS properties. The service ontology is.

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.

The Research of Semantic Web Service Matching Algorithm Based on the Formal Concept Analysis

However, they cannot work properly in multi density environments. The existing multi density clustering algorithms have some problems in order to be applicable for data streams such as the need of whole data to perform clustering, two-pass clustering and high execution time. Data stream arrives continuously and they have to be processed in limited time and memory. Therefore, we need an algorithm to cluster data stream with different densities as well as to overcome the challenges in clustering data streams.

MuDi-Stream is an online-offline clustering algorithm, in which the online phase forms core-mini-clusters using a new proposed core distance and offline phase clusters the core-mini-clusters based on a density-based method. The new core distance called mini core distance is calculated based on the number of neighboring data points around the core.


All materials on our website are shared by users. If you have any questions about copyright issues, please report us to resolve them. We are always happy to assist you. Just as semantics has brought significant benefits to search,integration and analysis of data, semantics is also seen as a key to achieving agreater level of automation to service orientation.

This has lead to research anddevelopment, as well as standardization efforts on semantic Web services. This chapter provides anoverview of the area after nearly a decade of research. Finally, a set of key resources is provided that wouldallow the reader to reach a greater understanding of the field, and are the mainissues that will drive the future of semantic Web services.

Although each major vendor promotes a distinct set of concretetechnologies and solutions, all these approaches have in common theidentification of a services registry where existing services can be located andthe provisioning of means e. Manyactivities require additional functionalities not captured in the basic servicespecification supported by WSDL, and some use of multiple services toaccomplish them. This chapter aims at providing an overview of the main resultsachieved so far, giving the reader pointers for gathering further insights anddetails on how these solutions have been devised.

The remainder of this chapter is organised as follows.

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Correspondence should be addressed to Shahin Mehdipour Ataee ; moc. 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. We present an improved algorithm which rectifies the weaknesses of the original algorithm, as well as a practical, fully functional choreography engine implementation in Flora-2 based on the improved algorithm.

Our improvements to the choreography algorithm include i the linking of the initial state of the ASM to the precondition of the goal, ii the introduction of the concept of a final state in the execution of the ASM and its linking to the postcondition of the goal, and iii modification to the execution of the ASM so that it stops when the final state condition is satisfied by the current configuration of the machine.

State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmak- the task of matchmaking refers to identifying and selecting from a service deals with similarity search for Web services, using a clustering algorithm to group names of parameters into semantically meaningful.

In this paper we propose a general framework for computing similarity between concepts. We applied the framework to semantic features used to describe concepts. Experimental results suggest that the general framework is feasible and this method is applicable across different concepts. This framework may be considered as a valuable measurement method to test hypotheses about category-specific disorders.

Formal concept analysis FCA is based on a formalization of the philosophical understanding of a concept as a unit of thought constituted by its extent and intent. The rough set philosophy is founded on the assumption that with every object of the universe of discourse we associate some information. This paper deals with approaches to knowledge reduction in generalized consistent decision formal context.

Finally, a new system model of semantic web based on FCA and rough set is proposed, which preserve more structural and featural information of concept lattice.

QoS Matchmaking Algorithm for Dynamic Web Services Selection Java Project

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