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Register a new userاستخدام اللغة العربية في نظم استرجاع المعلومات
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جامعة الخرطوم أطروحة دكتوراه
Publication date
2007
fields
Informatics Engineering
and research's language is
العربية
Created by
Shamra Editor
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يهدف البحث إلى دراسة خصائص اللغة العربية المؤثرة في عملية استرجاع المعلومات والتعرف على المشاكل الناجمة عن استخدام اللغة العربية في نظم استرجاع المعلومات بمختلف انواعها وايجاد حلول ومقترحات لها. والمقارنة بين ادوات واستراتيجيات البحث المستخدمة في نظم استرجاع المعلومات من حيث تاثيرها على معدلات التحقق للوثائق المسترجعة ودراسة أثر استخدام او عدم استخدام تقنيات معالجة اللغة العربية في الحواسيب (المدقق النحوي، المحلل الصرفي وغيرها) على معالجة خصائص اللغة العربية (الترادف، المشترك اللفظي ...).
No English abstract
References used
ابراهيم عبد الله الخراشي - محركات البحث على شبكة الانترنت
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This research proposes a new way to improve the
search outcome of Arabic semantics by abstractly summarizing the
Arabic texts (Abstractive Summary) using natural language
processing algorithms(NLP),Word Sense Disambiguation (WSD)
and techniques o
f measuring Semantic Similarity in Arabic WordNet
Ontology.
معالجة اللغات الطبيعية
Semantic analysis
استرجاع المعلومات
التلخيص التجريدي
الأنتولوجيا العربية ووردنت
العلاقة الدلالية المفاهيمية
التشابهية الدلالية
التحليل الدلالي
حل غموض معاني الكلمات
(Natural Language Processing (NLP
(Information Retrieval (IR
Abstractive Summarization
(Arabic WordNet (AWN
Conceptual Semantic Relation
Semantic Similarity
(Word Sense Disambiguation (WSD
المزيد..
We present a method for automatic query expansion for cross-lingual information retrieval in the medical domain. The method employs
machine translation of source-language queries into a document language and linear regression to predict the retriev
al performance for each translated query when expanded with a candidate term.
Candidate terms (in the document language) come from multiple sources: query translation hypotheses obtained from the machine translation system, Wikipedia articles and PubMed abstracts. Query expansion is applied only when the model predicts a score for a candidate term that exceeds a tuned threshold which allows to expand queries with strongly related terms only.
Our experiments are conducted using the CLEF eHealth 2013--2015 test collection and show %seven source languages and also in the monolingual case. The results show
significant improvements in both cross-lingual and monolingual settings.
There are many methods and suggestions proposed to improve the efficiency of
search in order to catch up with the increasing speed of information boom on the web.
Most of these proposals are concentrated on term frequency and page rank algorithms a
nd
yet very few of them focus on semantic relationship of content.
The objective of this research project is to provide a semantic relationship model that
can be used for semi-structured or unstructured information on the web to help improve the
accuracy and efficiency of search engine.
يوضح هذا البحث الخصائص الديموغرافيـة للسـكان و تأثيرهـا فـي الخصـائص
الاقتصادية الاجتماعية و الوضع التعليمي في مدينة الرحيبة من خلال بحـث أجرينـاه
بالعينة على تلك المدينة؛ و ذلك للوقوف على مدى التطور الديموغرافي لسـكان هـذه
المدينة و تأثيره في الت
ركيب الاقتصادي للسكان و قوة العمل و التعليم بشـكل مباشـر،
و ذلك بهدف الوصول إلى حقيقة الوضع الديموغرافي و الاقتصادي الاجتمـاعي لهـذه
المدينة من خلال معالجة عدد من المعطيات.
This research highlights the vital role of Pavement Management Systems integrated with Geographic Information Systems in planning and managing road maintenance in Lattakia, and getting a flexible local system by following a new method in processing a
nd viewing information that supports maintenance decision.
This study included applying a pilot project for managing pavement maintenance over a group of roads following The General Establishment for Road Communications. Those roads were divided to links and segments then evaluated using the " Asphalt Institute Method ", which gave us a numeric pointer that led in turn to the type of maintenance needed for a particular pavement. In this research, we depended on the Geographic Information Systems to design and build a comprehensive database, that reflected the present condition of the studied roads, and enabled us to store, analyze and document pavement surface condition and link it to the digitized maps of the studied roads. This guaranteed easy and direct access to various kinds of data and solutions as every segment appeared in a different color reflecting its conditions according to the theme of the map. By doing so, we could support the process of taking right maintenance decisions.
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