We present in this paper an integrated service discovery framework based on Non-negative Matrix Factorization (NMF). NMF provides an effective means to cluster high-dimensional sparse data with both high clustering accuracy and good interpretability of the clustering result. This makes NMF especially suitable for service community discovery by clustering the Web service description data. Nevert...

Efficient service discovery is a crucial process for Web service utilization. Most existing service discovery approaches, based on either functional or non-functional attributes, do not address the issues associated with the impact of subjective expectations and preferences on service discovery. For example, duplicated and similar functionalities existing among services require service consumer...

To run a smart E-Business or provide efficient Web service, a web services composition model is needed. Web services composition refers to the process of collaborating the heterogeneous web services. This paper presents a model of web services composition by using Case-Based Reasoning (CBR) techniques. CBR is applied in the process of service discovery, which is the crucial composition process....

The research of Web service discovery can be distinguished into two layers: service discovery model and service discovery algorithm. In this paper a kind of services discovery model named WSDBC (Web Service Discovery based on BalanceChord) is proposed in order to extend the Web services discovery scope and improve discovery efficiency. In order to achieve load balancing between different nodes ...

The increasing importance and use of Web services have resulted in a number of efforts targeted at automating Web service discovery and composition based on semantic descriptions of their properties. However, the progress in the automation of Web service discovery is still held back by the fact that the description of Web services in terms of semantic metadata is still mainly manually. This Ph....

The success of the Web services technology has brought topics as software reuse and discovery once again on the agenda of software engineers. While there are several efforts towards automating Web service discovery and composition, many developers still search for services via online Web service repositories and then combine them manually. However, from our analysis of these repositories, it yi...

web usage mining (wum) is the automatic discovering of hidden informationof user access pattern from the web log data. frequent pattern discovery is one ofthe main techniques in wum that can be used to implement recommender systems,forecast user`s navigational behaviour, and personalize web sites. many algorithmshave been suggested on obtaining frequent user navigation patterns. this paperprese...

In order to minimize time & cost for E-Discovery, many vendors have developed and released competitively their own service systems or software applied state-of-the-art technologies. Among them, Cloud Computing is one of the most exclusive skills as a computing infrastructure for E-Discovery service. However, these products actually do not cover all E-Discovery works that have to be done and hav...

The proliferation of smartphones and the recent advancement in ubiquitous wireless access have made mobile Web services more possible than ever before. However, finding relevant Web services that can match requests and fit user context remains a major concern. The challenges facingWeb service discovery are furthermagnified by the stringent constraints of mobile devices and the inherit complexit...

In this work the Service abstraction is extended to support Quality of Service (QoS) attributes – and implemented in the Grid QoS Management (G-QoSM) framework. The framework supports three main functions: (1) providing mechanisms for establishing QoS guarantees via Service Level Agreements (SLAs), (2) enabling QoS management on allocated QoS-aware services, and (3) supporting discovery of serv...