A Goal-Based Business Service Selection Approach As business process optimization and innovation are the only means to survive in such a dynamic b Business processes are now considered as business services BSs that span the organizational boundaries and have to satisfy cross-organizational objectives. The most promising research approaches on BS design are not only considering what the BS does and how but also the business requirements that it must satisfy. They are also able to perform BS composition. However, they mainly concentrate on the functional aspect. Even if few of them do consider the non-functional aspect, they cannot select the best BS combination alternative in a precise and objective way. To this end, this paper proposes a goal-oriented approach that is able to discover the best possible way a BS can be composed from other BSs according to both functional and non-functional requirements. This approach advances the state-of-the-art in service composition and selection as it is able to propose semantically robust BS combinations even if there is a missing functionality in terms of partially fulfilled or unfulfilled required goals and considers novel optimization criteria such as the number of BSs constituting the proposed solution and the percentage of BSs reused.
Semantic Matchmaking Algorithms
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.
Simulation results show that this algorithm has good BER performance, low complexity and low hardware resource utilization, and it would be well applied in the future.
Hadi Saboohi, and Sameem Abdul Kareem, “World-altering Semantic Web Services Discovery and Composition Techniques – A Survey”, in Proceedings of the 7th International Conference on Semantic Web and Web Services (SWWS’11), Las Vegas, Nevada, USA, July , pp. 91–
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. This improvement enables software agents or search engines to automatically find appropriate Web services via ontologies and reasoning algorithm enriched methods.
However, the high cost of formally defining to the heavy and complicated services makes this improvement widespread adoption unlikely. To cope with these limitations, we have developed a suite of methods which assesses the similarity of Web services to achieve matchmaking.
Semantic matchmaking in a PP electronic marketplace
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:
The result is a taxonomy of roles and interactions that we use for service description, matchmaking and composition. Service Description Agents use a service description language to specify relevant characteristics of the service(s) they provide.
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.
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. SWB also allows users to record their browsing and data extraction steps as scripts, generalize those scripts, and reuse the scripts for automatically extracting similar information.
Improved matchmaking algorithm for semantic web services based on bipartite graph matching
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.
Automatic Matchmaking of Web Services. In Julia Hoxha, Martin Junghans, and Sudhir Agarwal. Enabling Semantic Analysis of User Browsing Patterns in the Web of Data. In In Proceedings of AAAI Spring Symposium – Semantic Web Services, Stanford, CA, USA, March
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.
Semantic matchmaking services model for the intelligent web services
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.
A matching algorithm is based on a flexible match approach and can retrieve relevant services by using user’s preference criteria. A ranking methodology with an ordinal scale is also proposed to determine the degree of matching among the matched services.
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. He received the B. Currently works as assistant professor in faculty of computers and information technology, Taif University, Saudi Arabia. Saleh received a B. He has many book chapters published by international press and about published papers in international conferences and journals.
His interests are in the areas of network security, mobile agent, Network management, Search engine, pattern recognition, distributed databases, and performance analysis.
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.
A Semantic-based Meteorology Grid Service Registry, Discovery and Composition Framework Kaijun Ren1,2, Nong Xiao1, Junqiang Song1, Weimin Zhang1 and Tao Chen1 1National Laboratory for Parallel and Distributed Processing, NUDT, Changsha, Hunan ，P.R. China 2College of Science, National University of Defense Technology, Changsha, Hunan , P.R.
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.
The work of Zou et al.
Reproduction is permitted for noncommercial purposes. Abstract Ubiquitous Computing makes it possible to determine in real time the location and situations of service requesters in a web service environment as it enables access to computers at any time and in any place. Though research on various aspects of ubiquitous commerce is progressing at enterprises and research centers, both domestically and overseas, analysis of a customer’s personal preferences based on semantic web and rule based services using semantics is not currently being conducted.
Watch and download matchmaking algorithm for semantic web services hard porn matchmaking algorithm for semantic web services videos an download it.
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. In order to obtain the concept lattices with relatively less attributes and objects, we study the reduction of the concept lattices based on FCA and rough set theory.
Semantic Web Services Matching Algorithm Based on QoS
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.
Searching for phrase Semantic Web Service Discovery Algorithm (changed automatically) with no syntactic query expansion in all metadata.
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.