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العنوان
Establishing Dynamic Ontology for Agriculture Domain /
المؤلف
El-lakwah, Susan Faisal Amin.
هيئة الاعداد
باحث / سوزان فيصل أمين اللقوة
مشرف / محمد أمين،
مشرف / السيد العربي محمد الأزهري،
مشرف / بسنت محمد الكفراوي
الموضوع
Mathematics.
تاريخ النشر
2013 .
عدد الصفحات
213 p. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الرياضيات
تاريخ الإجازة
1/10/2013
مكان الإجازة
جامعة المنوفية - كلية العلوم - Mathematics Department.
الفهرس
Only 14 pages are availabe for public view

from 213

from 213

Abstract

An Ontology is a formal, explicit specification of a shared conceptualization. A ”conceptualization” is an abstract model of a phenomenon, created by identification of the relevant concepts of the phenomenon. A possible application of Ontologies is intra-organization communication and knowledge management. Providing terms, relations and constraints, an Ontology is equipped to allow an accurate and common means of communications between organization members. The proposed system presents semi-automated system for establishing global ontology by merging two ontologies. It uses two processes: matching and merging.
Matching process uses string-based technique, this technique uses four methods: exact
method to detect identical terms, and substring, suffix and prefix methods to compare
between terms. Using these four methods altogether improve the effectiveness of
matching process, matching process uses also language-based techniques; this
technique uses WordNet Method to detect terms that have the same meaning. This
technique improves also the effectiveness of matching process. The proposed system
presents a merging method of taxonomies in effective way. The system solves
redundancy and inconsistency problem in integrated ontology.
The proposed system has been applied on the agricultural domain for Faba Bean
crop to get a dynamic integrated ontology, it can be applied also on all crops whatever
field crops or horticulture crops. ”Dynamic” means that: the integrated ontology can
be modified, by using the proposed system when needed.
The evaluation of the proposed system shows that the performance of the system
has high quality. The comparison of the proposed system and other systems shows
that the proposed system has advantage of using five matching methods for mapping
between terms that make the mapping between terms more perfect and efficient. The
merger algorithm solve problems which appeared in other systems.
Abstract
This work has been published in:
􀂙 Proceeding of the Tenth Conference on Language Engineering, Egyptian
Society of Language Engineering, ESOLEC 2010, Cairo, Egypt, December
15-16, 2010, P: 60 - 66.
􀂙 Proceeding of the International Joint Conference on Advances in Signal
Processing and Information Technology, SPIT 2011, Amsterdam,
Netherlands, Springer Vergal , December 1- 2, 2011, pp. 75 – 82
􀂙 Proceeding of the Eleventh Conference on Language Engineering, Egyptian
Society of Language Engineering, ESOLEC 2011, Cairo, Egypt, December
14-15, 2011, P: 68 - 81.
􀂙 International Journal of Computer Applications 54(2):46-53, September 2012.
Published by Foundation of Computer Science, New York, USA.