SCHASKOS: A SKOS-Based Tool for Supporting the Decision Making Process in a Supply Chain
نویسندگان
چکیده
Semantic Web technologies provide innovative means for organizing, describing, and managing digital resources in a wide range of formats. From this perspective, Linked Data has recently gained some attention in the supply chain management field as an effective way to provide and share data across all the value chain. Semantic Web technologies can support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. This search engines allows the supply chain data exploitation in order to get valuable knowledge. However, a successful implementation and use of Semantic Web technologies requires both information professionals and system developers. In this paper, we propose a Web-based tool called SCHASKOS that covers these needs by working with the W3C's Simple Knowledge Organization Systems (SKOS) by using Linked Data. The SCHASKOS tool is a Linked Data-based tool for non-experience information professionals that allows the SKOS and Linked Data adoption for supply chain knowledge management in organizations. Additionally, a case study of how the SCHASKOS tool works and their benefits are presented.
منابع مشابه
PROVIDING A MODEL FOR THE SUPPLIER SELECTION PROCESS IN THE SUPPLY CHAIN MANAGEMENT WITH HYBRID MODEL OF DECISION MAKING
<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: -webkit-left; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; ba...
متن کاملA Hybrid Fuzzy Multi-criteria Decision Making Model Based on Fuzzy DEMATEL with Fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices
In recent years, taking advantage of LARG supply chain (SC) paradigm, a combination of four paradigms (clean, agile, resilience and green) has been increasingly employed. For capturing the advantages of LARG in SC, companies needed to recognize proper practices and implement them with appropriate planning and infrastructure. However, one of its deficiencies is lack of proper method in the prior...
متن کاملPROVIDING A MODEL FOR THE SUPPLIER SELECTION PROCESS IN THE SUPPLY CHAIN MANAGEMENT WITH HYBRID MODEL OF DECISION MAKING
<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: -webkit-left; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; ba...
متن کاملA bi-level linear multi-objective decision making model with interval coefficients for supply chain coordination
Abstract: Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply chain planning problem...
متن کاملA BI-LEVEL LINEAR MULTI-OBJECTIVE DECISION MAKING MODEL WITH INTERVAL COEFFICIENTS FOR SUPPLY CHAIN COORDINATION
Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply chain planning problems are co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Research in Computing Science
دوره 109 شماره
صفحات -
تاریخ انتشار 2016