Semantic Web mining for Content-Based Online Shopping Recommender Systems

Currently, for content-based recommendations, semantic analysis of text from webpages seems to be a major problem. In this research, we present a semantic web content mining approach for recommender systems in online shopping. The methodology is based on two major phases. The first phase is the semantic preprocessing of textual data using the combination of a developed ontology and an existing ontology. The second phase uses the Naïve Bayes algorithm to make the recommendations. The output of the system is evaluated using precision, recall and f-measure. The results from the system showed that the semantic preprocessing improved the recommendation accuracy of the recommender system by 5.2% over the existing approach. Also, the developed system is able to provide a platform for content-based recommendation in online shopping. This system has an edge over the existing recommender approaches because it is able to analyze the textual contents of users feedback on a product in order to provide the necessary product recommendation

ODR, ontologies, and web 2.0

Online communities and institutions create new spaces for interaction, but also open new avenues for the emergence of grievances, claims, and disputes. Consequently, online dispute resolution (ODR) procedures are core to these new online worlds. But can ODR mechanisms provide sufficient levels of reputation, trust, and enforceability for it to become mainstream? This contribution introduces the new approaches to ODR and provides a description of the design and structure of Ontomedia, a web-based platform to facilitate online mediation in different domain

Integration of e-business strategy for multi-lifecycle production systems

Internet use has grown exponentially on the last few years becoming a global communication and business resource. Internet-based business, or e-Business will truly affect every sector of the economy in ways that today we can only imagine. The manufacturing sector will be at the forefront of this change. This doctoral dissertation provides a scientific framework and a set of novel decision support tools for evaluating, modeling, and optimizing the overall performance of e-Business integrated multi-lifecycle production systems. The characteristics of this framework include environmental lifecycle study, environmental performance metrics, hyper-network model of integrated e-supply chain networks, fuzzy multi-objective optimization method, discrete-event simulation approach, and scalable enterprise environmental management system design. The dissertation research reveals that integration of e-Business strategy into production systems can alter current industry practices along a pathway towards sustainability, enhancing resource productivity, improving cost efficiencies and reducing lifecycle environmental impacts. The following research challenges and scholarly accomplishments have been addressed in this dissertation: Identification and analysis of environmental impacts of e-Business. A pioneering environmental lifecycle study on the impact of e-Business is conducted, and fuzzy decision theory is further applied to evaluate e-Business scenarios in order to overcome data uncertainty and information gaps; Understanding, evaluation, and development of environmental performance metrics. Major environmental performance metrics are compared and evaluated. A universal target-based performance metric, developed jointly with a team of industry and university researchers, is evaluated, implemented, and utilized in the methodology framework; Generic framework of integrated e-supply chain network. The framework is based on the most recent research on large complex supply chain network model, but extended to integrate demanufacturers, recyclers, and resellers as supply chain partners. Moreover, The e-Business information network is modeled as a overlaid hypernetwork layer for the supply chain; Fuzzy multi-objective optimization theory and discrete-event simulation methods. The solution methods deal with overall system parameter trade-offs, partner selections, and sustainable decision-making; Architecture design for scalable enterprise environmental management system. This novel system is designed and deployed using knowledge-based ontology theory, and XML techniques within an agent-based structure. The implementation model and system prototype are also provided. The new methodology and framework have the potential of being widely used in system analysis, design and implementation of e-Business enabled engineering systems

The First 25 Years of the Bled eConference: Themes and Impacts

The Bled eConference is the longest-running themed conference associated with the Information Systems discipline. The focus throughout its first quarter-century has been the application of electronic tools, migrating progressively from Electronic Data Interchange (EDI) via Inter-Organisational Systems (IOS) and eCommerce to encompass all aspects of the use of networking facilities in industry and government, and more recently by individuals, groups and society as a whole. This paper reports on an examination of the conference titles and of the titles and abstracts of the 773 refereed papers published in the Proceedings since 1995. This identified a long and strong focus on categories of electronic business and corporate perspectives, which has broadened in recent years to encompass the democratic, the social and the personal. The conference\u27s extend well beyond the papers and their thousands of citations and tens of thousands of downloads. Other impacts have included innovative forms of support for the development of large numbers of graduate students, and the many international research collaborations that have been conceived and developed in a beautiful lake-side setting in Slovenia

Model to evaluate customer satisfaction in e-commerce through multi-criteria and semantic analysis

Trabajo de Grado (Profundización)Se presenta un modelo de evaluación multicriterio para la medición de satisfacción del cliente en el sector de comercio electrónico, el modelo propone 7 criterios objetivos de evaluación, a saber: seguridad, información, producto o servicio, distribución logística, diseño del sitio, servicio al cliente y usabilidad, cada criterio tiene un peso estimado según la importancia percibida por los clientes. Se extraen los comentarios de la red social Facebook de dos plataformas de comercio electrónico que operan en Colombia y se realiza la medición de satisfacción del cliente obteniendo resultados importantes para la toma de decisiones empresariales.1. INTRODUCTION 2. PROBLEM STATEMENT 3. OBJETIVES 4. CONCEPTUAL FRAMEWORK 5. THEORETICAL FRAMEWORK 6. STATE OF THE ART 7. METHODOLOGY 8. VIGILANCIA TECNOLÓGICA 9. ONTOLOGY FOR E-COMMERCE 10. RESULTS 11. CONCLUSIONS 12. FUTURE WORKS 13. REFERENCESMaestríaMagister en Ingeniería y Gestión de la Innovació

e-Commerce Ontology Web (e-COW)

The objective of "e-Commerce Ontology Web" (e-COW) is to implement the ontology concept and semantic web in knowledge management to improve business operation in organization. Generally, current problem of e-commerce system is searching information is very difficult and sometimes may miss relevant information especially details for certain products. Furthermore, human browsing and reading required to extract relevant information from information sources. The semantic web deals with important application areas such as knowledge management and electronic commerce (both B2C and B2B). It may help to overcome many of the current bottlenecks in these areas. In feasibility study, it helps author in identifying the framework of semantic web and ontology development process. The important feature ofthe e-COW is retrieving information based on the class and attributes of data intree views, and advance search using ontology agents. Inaddition the system will display products details in meaningful and organized which can help users to understand easily. With development of many knowledge management systems today, it shows that the knowledge management is very important especially to organization. As a result, we know ontology has become important concept in knowledge management especially for managing and organizing information and data