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ONTOLOGY CONSTRUCTION FOR THE HARMONIZED COMMODITY DESCRIPTION AND CODING SYSTEM USING NATURAL LANGUAGE PROSESSING TECHNIQUES

Oluşturulma Tarihi: 07-09-2016

Niteleme Bilgileri

Tür: Tez

Alt Tür: Doktora (Mühendislik)

Yayınlanma Durumu: Yayınlanmamış

Dosya Biçimi: PDF

Dil: İngilizce

Konu(lar): TEKNOLOJİ,

Yazar(lar): Akgür Fal, Funda (Yazar),

Emeği Geçen(ler): Turhan, Çiğdem (Danışman),

Anahtar Kelimeler

Ontology, Natural Language Processing, Protégé, HarmonizedCommodity Description System


Özet

World Custom Organization (WCO) is an interdependent intergovernmentalorganization whose mission is to improve the effectiveness and efficiency of customsadministrations. WCO provides a shared code system for foreign trade namely,Harmonized Commodity Description and Coding System (HS) which is aninternational trade classification system including 5000 different code numbers. Thissystem is used by custom’s officers and traders who may or may not be expert users.The main problem of the existing system is that HS Code determination process canonly be done by experts and not by non-specialists.Ontologies are strong tools for representing the semantic structure. However,constructing large scale ontologies is hard and time consuming. Using NaturalLanguage Processing (NLP) is an efficient way to construct ontologies.In this study, the main goal is to develop an ontology for HS codes using Turkishnatural language processing. The constructed ontology is expected to provide threevital benefits for users in determining the correct HS code. Since the constructedontology defines the HS code with respect to the definition of the products, any userwill be able to identify any products’ HS code using Turkish language. Second, usingan ontology behind the system provides flexibility and cost efficiency where all theivproducts and their relations are processed and recognized by the ontologys’ naturalframework. Third, in the literature there have not been any studies that havedeveloped such a search system for Turkish customs.This thesis provides new perspective for ontology construction and searching usingTurkish NLP that is a promising novel method and a flexible approach for anyquerying systems


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