دانلود مقاله ISI انگلیسی شماره 50829
عنوان فارسی مقاله

مدیریت تغییر در حال تحول هستی شناسی وب

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
50829 2013 18 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Change management in evolving web ontologies
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Knowledge-Based Systems, Volume 37, January 2013, Pages 1–18

کلمات کلیدی
مدیریت تغییر - هستی شناسی - تکامل هستی شناسی - بازیابی هستی شناسی - تغییر تاریخ - هستی شناسی - تغییر کنترل
پیش نمایش مقاله
پیش نمایش مقاله   مدیریت تغییر در حال تحول هستی شناسی وب

چکیده انگلیسی

This paper introduces a change history management framework for evolving ontologies; developed over the last couple of years. It is a comprehensive and methodological framework for managing issues related to change management in evolving ontologies, such as versioning, provenance, consistency, recovery, change representation and visualization. The Change history log is central to our framework and is supported by a semantically rich and formally sound change representation scheme known as change history ontology. Changes are captured and then stored in the log in conformance with the change history ontology. The log entries are later used to revert ontology to a previous consistent state, and to visualize the effects of change on ontology during its evolution. The framework is implemented to work as a plug-in for ontology repositories, such as Joseki and ontology editors, such as Protege. The change detection accuracy of the proposed system Change Tracer has been compared with that of Changes Tab, Version Log Generator in Protege; Change Detection, and Change Capturing of NeOn Toolkit. The proposed system has shown better accuracy against the existing systems. A comprehensive evaluation of the methodology was designed to validate the recovery operations. The accuracy of Roll-Back and Roll-Forward algorithms was conducted using different versions of SWETO Ontology, CIDOC CRM Ontology, OMV Ontology, and SWRC Ontology. Experimental results and comparison with other approaches shows that the change management process of the proposed system is accurate, consistent, and comprehensive in its coverage.

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