Business integration models in the context of web services.

E-commerce development and applications have been bringing the Internet to business and marketing and reforming our current business styles and processes. The rapid development of the Web, in particular, the introduction of the semantic web and web service technologies, enables business processes, modeling and management to enter an entirely new stage. Traditional web based business data and transactions can now be analyzed, extracted and modeled to discover new business rules and to form new business strategies, let alone mining the business data in order to classify customers or products. In this paper, we investigate and analyze the business integration models in the context of web services using a micro-payment system because a micro-payment system is considered to be a service intensive activity, where many payment tasks involve different forms of services, such as payment method selection for buyers, security support software, product price comparison, etc. We will use the micro-payment case to discuss and illustrate how the web services approaches support and transform the business process and integration model.

The application of user log for online business environment using content-based Image retrieval system

Over the past few years, inter-query learning has gained much attention in the research and development of content-based image retrieval (CBIR) systems. This is largely due to the capability of inter-query approach to enable learning from the retrieval patterns of previous query sessions. However, much of the research works in this field have been focusing on analyzing image retrieval patterns stored in the database. This is not suitable for a dynamic environment such as the World Wide Web (WWW) where images are constantly added or removed. A better alternative is to use an image's visual features to capture the knowledge gained from the previous query sessions. Based on the previous work (Chung et al., 2006), the aim of this paper is to propose a framework of inter-query learning for the WWW-CBIR systems. Such framework can be extremely useful for those online companies whose core business involves providing multimedia content-based services and products to their customers

Analysis of RFID adoption in China

Radio-frequency identification (RFID) is an emerging technology for automatic data capturing, enabling real time information visibility. It promises great potentials in many industries to improve logistics operational efficiency, to help reduce inventory, and to automate asset/item track and trace, etc. The RFID adoption in China is a highly concerned topic as China has become a world manufacturing center. In this paper, we have presented an overview for China's current RFID adoption status. Based on Rogers's DOI theory, a methodology is developed for analyzing RFID adoption in China. With this methodology, China's RFID adoption status is identified, and ways to speed up the rate of adoption are also suggested. © 2007 IEEE.published_or_final_versio

A consumer perspective e-commerce websites evaluation model

Existing website evaluation methods have some weaknesses such as neglecting consumer criteria in their evaluation, being unable to deal with qualitative criteria, and involving complex weight and score calculations. This research aims to develop a hybrid consumer-oriented e-commerce website evaluation model based on the Fuzzy Analytical Hierarchy Process (FAHP) and the Hardmard Method (HM). Four phases were involved in developing the model: requirements identification, empirical study, model construction, and model confirmation. Requirements identification and empirical study were to identify critical web-design criteria and gather online consumers' preferences. Data, collected from 152 Malaysian consumers using online questionnaires, were used to identify critical e-commerce website features and scale of importance. The new evaluation model comprised of three components. First, the consumer evaluation criteria that consist of the important principles considered by consumers; second, the evaluation mechanisms that integrate FAHP and HM consisting of mathematical expressions that handle subjective judgments, new formulas to calculate the weight and score for each criterion; and third, the evaluation procedures consisting of activities that comprise of goal establishment, document preparation, and identification of website performance. The model was examined by six experts and applied to four case studies. The results show that the new model is practical, and appropriate to evaluate e-commerce websites from consumers' perspectives, and is able to calculate weights and scores for qualitative criteria in a simple way. In addition, it is able to assist decision-makers to make decisions in a measured objective way. The model also contributes new knowledge to the software evaluation fiel

Willingness of accepting mobile data positioning technology in Chinese market

This research aims to study the willingness of accepting Mobile data positioning technology in tourism, traffic and population statistics in China. Despite big data is popular in different industries, the Chinese government is still conservative, using traditional methods for statistics, such as transportation, population, and tourism. For the time being, mobile phone selling market grows rapidly around the world. Billions people generate tons of data every second through their mobile phone. The big challenge is to get to know about those data. With the analyzing big data technology has a great improvement, it is a good opportunity to start analyzing mobile data positioning market in China. As the fastest-growing developing country in the world, China has a large potential market. At the same time, China's digitalization process has also developed rapidly, laying a good foundation for Mobile data positioning(MDP). As mobile data positioning technology mainly provides to the government, so in this study, it adopted questionnaire to 67 civil servants about their attitude to use MDP in their daily work. Meanwhile, this study using Structural Equation Modeling SEM, SPSS, technology acceptance model(TAM) model and smartpls to determine the model of their willingness to adopt this technology. The results show that perceived usefulness and perceived ease of use are direct and important predictors of positioning using mobile data whereas. The findings help as a guide for effective decision to any technology company who are interested in MDP in Chinese’s market

The business process modelling ontology

In this paper we describe the Business Process Modelling Ontology (BPMO), which is part of an approach to modelling business processes at the semantic level, integrating knowledge about the organisational context, workflow activities and Semantic Web Services. We harness knowledge representation and reasoning techniques so that business process workflows can: be exposed and shared through semantic descriptions; refer to semantically annotated data and services; incorporate heterogeneous data though semantic mappings; and be queried using a reasoner or inference engine. In this paper we describe our approach and evaluate BPMO through a use case

Optimization Techniques to Speed Up the Page Loading in Custom Web Browsers

IEEE 12th International Conference on e-Business Engineering (ICEBE 2015), 23-25 October 2015. Beijing, China.[Absctract]: Web automation applications are widely used for different purposes such as B2B integration, web mashups, automated testing of web applications, Internet metasearch or technology and business watch. One crucial part in intensive web automation applications, that require real time responses, is for them to execute the navigation sequences in the shortest possible time. The approach of building the automatic web navigation component by using the APIs of conventional browsers, followed by most of the current systems, is not appropriate in that scenario, because it presents performance problems. Other approach consist in creating custom browsers specially designed for web automation, which can develop some improvements based in the peculiarities of the web automation tasks. In this work, we present a new set of techniques and algorithms that allow the parallel evaluation of the scripting code when a custom browser loads a web page. We also outline the components that should be included in the custom browser architecture to implement these techniques. The tests executed with real web sources, to evaluate the validity of our proposal, show that a custom web browser loads the web pages faster when the scripts are executed in parallel using the designed techniques

Semantic Search Approach in Cloud

With the approach of cloud computing, more and more information data are distributed to the public cloud for economic savings and ease of access. But, the encryption of privacy information is necessary to guarantee the security. Now a days efficient data utilization, and search over encrypted cloud data has been a great challenge. Solution of existing methods depends only on the keyword of submitted query and didn�t examine the semantics of keyword. Thus the search schemes are not intelligent and also omit some semantically related documents. To overcome this problem, we propose a semantic expansion based similar search solution over encrypted cloud data. The solution of this method will return not only the exactly matched files, but also the files including the terms semantically related to the query keyword. In this scheme, a corresponding file metadata is constructed for each file. After this, both the encrypted file metadata set and file collection are uploaded to the cloud server. With the help of metadata set file, the cloud server maintains the inverted index and create semantic relationship library (SRL) for the keywords set. After receiving a query request from user , this server firstly search out the keywords that are related to the query keyword according to SRL. After this, both the query keyword and the extensional words are used to retrieve the files to fulfill the user request. These files are returned in order according to the total relevance score. Our detailed security analysis shows that our method is privacy-preserving and secure than the previous searchable symmetric encryption (SSE) security definition. Experimental evaluation demonstrates the efficiency and effectives of the scheme