48,548 research outputs found

    Semantic web for next generation of e-commerce

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    Web technology left a significant impact for business transaction.The role of buyers and vendors has been replaced by informative websites where the available information of products and services could improve supply chain and delivery cycles.As the market segment grows, the need of having organized and thoughtful web content is increasing.Search functions using keyword-based search are known for its inability for the machine to interpret different terminology with the same meaning.Information needs to be structured for parametric search to locate products with certain combination of traits.Ontology is the solution to structure semantic of product data.It allows computer to process content with meaning for human based consensual terminologies.Ontology provides a shared platform and common understanding of a domain that can be communicated between user and application systems.The purpose of this paper is to highlight the importance of exploiting ontology based e-commerce for Semantic Web. The ontology is mediator for software agents to communicate and exchange data.These agents can search products with certain traits, negotiate products or automatically configure product or services according to the required specifications.The semantic combination of product data elevate full potential of e-commerce and development of many specialized reasoning services bring full power of Semantic Web Based E-Commerce

    Semantic web service offer discovery for e-commerce

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    Semantic Web Services (SWS) are an important part of the Semantic Web, traditionally focused on discovery and composition of e-services. In the area of e-commerce services, it is necessary to go past the granularity of service discovery and also to consider discovering the actual offers provided by a service. Nevertheless, Semantic Web Services research has only recently started to consider offer discovery. In this paper, we present a solution for offer discovery that uses WSMO-Lite, the new lightweight semantic Web service annotation framework

    e-Commerce Ontology Web (e-COW)

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    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

    A Semantic DOM Approach For Webpage Information Extraction

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    With the development of electronic technology and e-commerce, technology for Web pages has attracted a lot of research efforts which becomes one of the hottest topics recently. This paper has proposed a semantic DOM (SDOM) approach for information extraction of e-commerce Web pages. With the combination of content and structure information, the precision and recall can achieve a good result which is shown in our experiments on listpage and tablepage data sets.published_or_final_versio

    Design of a trust system for e-commerce platforms based on quality dimensions for linked open datasets

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    This article describes a proposal about a trust system for e-commerce platform based on semantic web technologies and trust dimensions rules. We try to expose a system that allow to manage communication processes between e-commerce platforms and users in a trustworthy manner. It allows the data flows and transactions gain more trust across the entire process. All of this can be achieved through the inference of rules exposed in the defined ontology, complemented by a cloud-based system with microservices architecture. With the implementation of the system through an e-commerce platform, could consume data from the microservices in order to get inferences about its clients that want to buy or sell something within its system. This system was created based on rules defined by the ontology, as well as the microservices could be used to register information about multiple e-commerce transactions. The result of this work is the Ontology and semantic web rules defined and implemented through protege.info:eu-repo/semantics/publishedVersio

    Building a Semantic Tendering System

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    In the new B2B e-commerce arena, applications such as auctions and data exchange are growing rapidly. However, Web content is currently designed for human consumption rather than computer manipulation. This limits the possibility of Web automation. Fortunately, the new development of the Semantic Web that allows Web pages to provide information not only in terms of their content, but also in terms of the properties of that content, can be used for automation. Electronic tendering systems are among the successfully commercial systems that can tremendously benefit from the availability of Semantic Web. This study proposes an e-tendering system that uses the Semantic Web to investigate the automatic negotiation process. The system is built in a P2P environment to simulate a two-player negotiation. It is found that the ontology of semantic information can be used to locate qualified suppliers and precede negotiation. The bargaining power of each party is then determined by the relative magnitude of the negotiators’ respective costs of haggling and the utility that varies with the degree of risk preference. Our experiments showed that applying automatic negotiation strategies to e-tendering system in semantic web can reflect the risk preference of the participants

    Implementasi dan Analisis SHDM Pada Pengembangan Aplikasi Website E-Commerce

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    ABSTRAKSI: Website semantik semakin banyak digunakan karena mendukung komunikasi dengan website lain melalui makna semantik yang dideskripsikan. Namun, perancang arsitektur website tetap harus memperhatikan fungsionalitas lain pada website seperti navigasi. Salah satu metode perancangan aplikasi website semantik yang juga fokus dalam merancang navigasi yaitu Semantic Hypermedia Design Method (SHDM).Aplikasi e-commerce membutuhkan navigasi yang baik agar pengguna dapat melakukan pembelian dan memberikan keuntungan bagi pemilik. Di sisi lain, jika aplikasi e-commerce memiliki makna semantik dan dapat terhubung dengan website lain maka akan memberikan keuntungan juga bagi setiap stakeholder. Oleh karena itu, dibangun suatu pengujian implementasi e-commerce menggunakan SHDM.Implementasi dilakukan menggunakan HyperDE, yang merupakan environment yang khusus dibangun untuk mengimplementasikan SHDM. Metode pengujian untuk menguji kualitas navigasi adalah Mean Opinion Score, penilaian secara subyektif. Sedangkan untuk menguji semantik dari website, dilakukan query terhadap RDF Data. Hasil pengujian, navigasi yang dihasilkan cukup baik sedangkan semantik dari website yang dihasilkan juga cukup baik.Kata Kunci : shdm, hyperde, semantic web, ecommerceABSTRACT: Semantic Web is increasingly being used for supporting the communication with other websites with semantic meaning described. However, the system analyst should consider other functionality on the website such as navigation. One method of designing semantic web application that also focuses in designing navigation, namely the Semantic Hypermedia Design Method (SHDM).E-commerce applications requiring good navigation so that users can make purchases and provide benefits for the owner. On the other hand, if the application of e-commerce has semantic meaning and can be connected with other websites that will give an advantage for every stakeholder. Therefore, we built a test by implementing SHDM to build e-commerce website.Implementation done using HyperDE, which is a purpose built environment to implement SHDM. Testing method to test the quality of navigation is the Mean Opinion Score, that judge subjectively. Meanwhile, to test the semantics of a website, we do queries to RDF data. The results of the testing, navigation of the website is quite good while the semantics of the website is also generated well.Keyword: shdm, hyperde, semantic web, ecommerc

    Business integration models in the context of web services.

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    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.
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