Junwei Yan

An weighted ontology-based semantic similarity algorithm for web service

A critical step in the process of reusing existing WSDL-specified services for building web-based applications is the discovery of potentially relevant services. However, the category-based service discovery, such as UDDI, is clearly insufficient. Semantic web services, augmenting web service descriptions using semantic web technology, were introduced to facilitate the publication, discovery, and execution of web services at the semantic level. Semantic matchmaker enhances the capability of UDDI service registries in the semantic web services architecture by applying some matching algorithms between advertisements and requests described in OWL-S to recognize various degrees of matching for web services. Based on semantic web service framework, semantic matchmaker and probabilistic matching approach, this paper proposes a weighted ontology-based semantic similarity algorithm for web service to support a more automated and veracious service discovery and rank process in the semantic web service framework.

An adaptive annealing genetic algorithm for the job-shop planning and scheduling problem

The genetic algorithm, the simulated annealing algorithm and the optimum individual protecting algorithm are based on the order of nature, and there exist some application limitations on global astringency, population precocity and convergence rapidity. An adaptive annealing genetic algorithm is proposed to deal with the job-shop planning and scheduling problem for the single-piece, small-batch, custom production mode. In the AAGA, the adaptive mutation probability is included to improve upon the convergence rapidity of the genetic algorithm, and to avoid local optimization, the Boltzmann probability selection mechanism from the simulated annealing algorithm, which solves the population precocity and the local convergence problems, is applied to select the crossover parents. Finally, the AAGA-based job-shop planning and scheduling problem is discussed, and the computing results of AAGA and GA are depicted and compared.

A Semantic Approach to Recommendation System Based on User Ontology and Spreading Activation Model

Since the current Web is largely unorganized and there is a rapid growth of information volumes, the recommendation system whose major purpose is to reduce irrelevant content and to provide users with more pertinent and tailored information becomes an important research area. A key issue in this area is how to discover users interest and behavior effectively. In this paper we investigate an approach to recommendation system based on user ontology and spreading activation model. Through combining the user ontology and spreading activation model, the capability of discovering of users potential interests is enhanced. A prototype system is also dev.eloped base on this methodology.

A fuzzy matchmaking approach for Semantic Web Services with application to collaborative material selection

A critical step in the process of reusing existing WSDL-specified services for building web-based applications is the discovery of potentially relevant services. However, the category-based service discovery, such as UDDI, is clearly insufficient. Semantic Web Services, augmenting Web service descriptions using Semantic Web technology, were introduced to facilitate the publication, discovery, and execution of Web services at the semantic level. Semantic matchmaker enhances the capability of UDDI service registries in the Semantic Web Services architecture and it is able to recognize various degrees of matching for Web services. Based on the Semantic Web Service framework, semantic matchmaker, specification matching and probabilistic matching, this paper proposes a fuzzy matchmaking approach for Semantic Web Services to support a more automated and veracious service discovery process in collaborative manufacturing environments. In the proposed approach, the membership function is set up on the semantic information annotated on WSDL specification of a web service, and the similarity of service objects is evaluated by the similarity degree of service attributes. A collaborative material selection case study in the die casting process for thermoelectric fan housing is used to illustrate the proposed approach.

Behavior-Based Web Services Matchmaking

With the rapid expanse of the Web service over the internet, discovering web service is becoming the most urgent problem. To tackle this problem, The Calculus of Communicating Systems (CCS) as a formal tool is exploited to specify and model web services, especially service behavior. Reverse engineering is proposed to develop the formal model of query service according to users behavior, behavioral equivalence is used for matchmaking between the published service and the query service. Therefore, a promising method is proposed to realize intelligent web service discovery based on service behavior.

A semantic-augmented multi-level matching model of Web services

Semantic Web services, augmenting Web service descriptions using semantic Web technology, were introduced to facilitate the publication, discovery, and execution of Web services at the semantic level. Semantic matchmakers enhance the capability of UDDI service registries in the semantic Web services architecture by applying some matching algorithms between advertisements and requests described in OWL-S to recognize various degrees of matching for Web services. This paper proposes a novel semantics-enhanced Web service framework and a multi-level matching model for Web services. The matching process is achieved at five levels: syntactic, static semantic, dynamic semantic, qualitative service, and dependable service. A case study on collaborative design is used to demonstrate the proposed approach.

A quantum-inspired ant-based routing algorithm for WSNs

Wireless sensor networks are distinguished from traditional networks. Existing routing algorithms are not effective in supporting such networks. In this paper, a novel quantum-inspired ant-based routing (QABR) algorithm for WSNs is proposed, and it has rapid convergence and good global search ability. Experiment results show that the proposed algorithm can find rapidly the optimal path from source node to destination node, and prolong the networks lifetime.

Semantic Mapping in Product Design and Catalog Integration

With regard to the integration issue of product design and catalog information in PLM (product life-cycle management), we proposed an ontology-based semantic integration framework. In this paper, the Semantic Matchmaker component of the framework is discussed in detail and matching techniques used are presented. Our matching approach takes terminological and structural matching methods as main solutions and utilizes the common upper ontology as well. The issue of this paper is about semantic mapping between two ontologies using description logic. It is the core component of the integration framework for product design and catalog.

Design of the executable business state-model process based on finite state machine

In order to ensure the enterprises can acquire the changes of the market at any time, then adjust the strategies quickly, the state information of business process execution can reflect the situation best. If the status in a process model can be defined clearly, you can monitor the execution information of the process which is based on the processes run-time implementation quickly, andchange the process operation in accordance with real-time requirements. Then put forward the claim of building state-module for executable business process, this method, based on the Web Service state concept, the basis of the technical accomplishment and the connotations of the executable business processes, is used to model for the state of executable business process by FSM and combine Web Service status information with the status of running business processes, to handle the state management problems of Web Service in the processes management.

A multi-level matching framework for semantic web services in collaborative design

Semantic Web services, augmenting Web service descriptions using semantic Web technology, were introduced to facilitate the publication, discovery, and execution of Web services at the semantic level. Semantic matchmakers enhance the capability of UDDI service registries in the semantic Web services architecture by applying some matching algorithms between advertisements and requests described in OWL-S to recognize various degrees of matching for Web services. This paper proposes a novel semantics-enhanced Web service framework and a multi-level matching model for Web services. The matching process is achieved at five levels: syntactic, static semantic, dynamic semantic, qualitative service, and dependable service. A case study on collaborative design is used to demonstrate the proposed approach.