کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
386805 660891 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Ontology-based economics knowledge sharing system
ترجمه فارسی عنوان
سیستم به اشتراک گذاری دانش مبتنی بر هستی شناسی
کلمات کلیدی
هستی شناسی، سیستم اشتراک دانش، دانش اقتصادی، متغیر ابزار، داده های معنایی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• This paper argues the need for economics knowledge sharing.
• We demonstrate how economics knowledge sharing can be effectively achieved.
• Three search functions are implemented based on OEKSS.
• We propose instrumental variable recommendation algorithm (IVRA).
• IVRA provides a systematic way to find instrumental variables in OEKSS.

The objective of this paper is to argue the need for economics knowledge sharing and to demonstrate that it can be achieved with Semantic Web technologies. To this end, we first designed an economics knowledge sharing ontology (EKSO) to describe economic domain knowledge. We then implemented an ontology-based economics knowledge sharing system (OEKSS) based on the EKSO and Semantic Web technologies. The OEKSS included three search functions – basic search, knowledge navigation, and instrumental variable recommendation – to demonstrate how we can use shared economics knowledge in future research. In particular, an instrumental variable recommendation is made based on an instrumental variable recommendation algorithm (IVRA), which is a systematic and efficient way to find instrumental variables through EKSO in limited experimental environments. Finally, the paper presents a case study for IVRA that illustrates the usefulness and significance of the algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 41, Issue 4, Part 1, March 2014, Pages 1331–1341
نویسندگان
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