ارسل ملاحظاتك

ارسل ملاحظاتك لنا







Building Ontology Web Retrieval System Using Data Mining

المصدر: مجلة دراسات المعلومات
الناشر: جمعية المكتبات والمعلومات السعودية
المؤلف الرئيسي: Al Obaidy, Hadeel Showket (Author)
المجلد/العدد: ع4
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2009
التاريخ الهجري: 1430
الشهر: يناير / محرم
الصفحات: 1 - 22
ISSN: 1658-8665
رقم MD: 670553
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: HumanIndex
مواضيع:
رابط المحتوى:
صورة الغلاف QR قانون

عدد مرات التحميل

46

حفظ في:
LEADER 02838nam a22002177a 4500
001 0068276
041 |a eng 
044 |b السعودية 
100 |9 338128  |a Al Obaidy, Hadeel Showket  |e Author 
245 |a Building Ontology Web Retrieval System Using Data Mining 
260 |b جمعية المكتبات والمعلومات السعودية  |c 2009  |g يناير / محرم  |m 1430 
300 |a 1 - 22 
336 |a بحوث ومقالات 
500 |a النص باللغة الإنجليزية 
520 |b Much of the information in science, engineering and business has been recorded in the form of text. \ Traditionally, this information would appear in journals or company reports, but increasingly it can be found online in the World-Wide Web. Tools to support information access and discovery on the Internet are proliferating at an astonishing rate. Some of this development reflects real progress but there are also many exaggerated claims. The focus of this presentation will be to review the important technologies for text-based information access on the Web and to describe the progress that is being made by researchers in these areas. \ The Semantic Web3 provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It envisions the globally interconnected network of machine- processable information, made possible by means of the sharing of semantic data models or ontologies. Locating suitable existing ontology to capture the user-required information from the Internet is a big challenge in the current research of the Semantic Web. \ This research presents the ontology ability of search engine to match retrieved information content to a user's profile and present search capabilities for a Web application .It is possible to measure the performance of a search by understand user interest and information relevant. \ This research using data mining techniques to building ontology retrieves system to improve the quality of information access. \ This system using Association Rule to cluster the knowledge base and indexing them into web data base based on semantic way. \ The Onto -mining search engine in this research allows the user to perform keyword searches on certain types of “ontology” files, and to visually inspect the files to check their relevance. Onto Search system is based on Java, ASP. 
653 |a الانترنت   |a استرجاع المعلومات  |a التنقيب عن المعلومات 
773 |4 علوم المعلومات وعلوم المكتبات  |6 Information Science & Library Science  |c 008  |e Journal of Information Studies  |l 004  |m ع4  |o 0187  |s مجلة دراسات المعلومات  |v 000  |x 1658-8665 
856 |u 0187-000-004-008.pdf 
930 |d y  |p y  |q y 
995 |a HumanIndex 
999 |c 670553  |d 670553 

عناصر مشابهة