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دراسة مساهمة الويب الدلالي في استخراج المعلومات
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Aِl-Baath University ورقة بحثية
Publication date
2015
fields
Informatics Engineering
and research's language is
العربية
Created by
Shamra Editor
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نحاول في هذا البحث أن نتناول أنظمة استخراج المعلومات المعتمدة على الأنتولوجي من خلال دراسة مرجعية مفصلة و شاملة، و نميز بينها و بين أنظمة أخرى مثل أنظمة استرجاع المعلومات و التنقيب في البيانات و كما نحاول أن نحدد البنية العامة لمثل هذه الأنظمة التي تشكل جزء من أنظمة أكبر مهمتها الإجابة على استفسارات المستخدمين بالاعتماد على المعلومات المستخرجة. بعد ذلك نستعرض الأنواع المختلفة لهذه الانظمة و التقنيات المستخدمة فيها و من ثم نحاول حصر التحديات الحالية و المستقبلية و ما يترتب عليها من مشاكل بحث. و في النهاية نناقش تفاصيل التحقيقات المختلفة لهذه الانظمة من خلال شرح منصتي عمل للوسم الدلالي و هما (OpenCalais) و (Gate) و نحاول المقارنة بين أنظمة الاستخراج الخاصة بهما و مناقشة النتائج.
We aimed to distinguish between them and the other research areas such as information retrieval and data mining. we tried to determine the general structure of such systems which form a part of larger systems that have a mission to answer user queries based on the extracted information. we reviewed the different types of these systems, used techniques with them and tried to define the current and future challenges and the consequent research problems. Finally we tried to discuss the details of the various implementations of these systems by explaining two platforms Gate and OpenCalais and comparing between their information extraction systems and discuss the results.
References used
Berners Lee T, Hendler J, Lassila O, 2001, The Semantic Web, Scientific American
Hitzler P, Krötzsch M ,Rudolph S , 2009 , Foundations of Semantic Web Technologies Chapman& Hall/CRC
(Popov B, Kiryakov A , Kirilov A ,Manov D, Ognyanoff D , Goranov M , 2003, KIM – Semantic Annotation Platform . In: Proceedings of the 2nd International Semantic Web Conference, (Springer-Verlag, Berlin
Maynard D, 2014,Text Analysis with GATE، University of Sheffield، Search Solutions
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Semantic Web is a new revolution in the world of the Web, where information and
data become viable for logical processing by computer programs. Where they are
transformed into meaningful data network. Although Semantic Web is considered the
future
of World Wide Web, the Arabic research and studies are still relatively rare in this
field. Therefore, this paper gives a reference study of Semantic Web and the different
methods to explore the knowledge and discover useful information from the vast amount
of data provided by the web. It gives a programming example like application of some of
these techniques provided by the Semantic Web and methods to discover the knowledge of
it. This simplified programming example provides services related to higher education
Syrian government, such as information about the Syrian public universities like the name
of the university (Syrian Virtual University, Tishreen, Aleppo, Damascus, and Al Baath),
address of the university, its web site, number of students and a summary of the university,
which helps intelligent agents to find those services dynamically.
Understanding the semantic meaning of content on the web through the lens of entities and concepts has many practical advantages. However, when building large-scale entity extraction systems, practitioners are facing unique challenges involving findi
ng the best ways to leverage the scale and variety of data available on internet platforms. We present learnings from our efforts in building an entity extraction system for multiple document types at large scale using multi-modal Transformers. We empirically demonstrate the effectiveness of multi-lingual, multi-task and cross-document type learning. We also discuss the label collection schemes that help to minimize the amount of noise in the collected data.
In the few recent years, besides the traditional web a new web has appeared. It is
called the Web of Linked Data. It has been developed to present data in a machinereadable
form. The main idea is to describe data using a set of terms called web ont
ology.
At this time, tools and standards related to the semantic web are becoming comprehensive
and stable; however, publishing university data as linked data still faces some major
challenges. First of all, there is no unified, well-accepted vocabulary for describing
university-related information.
This article aims to find the ontology which could be used to describe the data in the
university domain, so it could be possible to integrate this data with data from other
universities and do queries on it. The web ontology was built by reusing the available
vocabularies on the web and adding new classes and properties. The ontology has been
organized by using Protégé.
هذه المقالة تحوي ترجمة وتلخيص وتوضيح للمذكور في الورقة البحثية المذكور اسمها أعلاه والموجودة في https://annals-csis.org/Volume_8/pliks/221.pdf , والتي تقوم باستخراج المعلومات الدلالية المهمة الموجودة في الوثائق والملفات والأوراق البحثية .
Web Engineering Methodologies (WebML UWE Hera RMM) support the representation and
modeling of web services in a lifecycle, based on service oriented architecture (SOA). Theses
methodologies, however, vary in supporting semantic web components and s
emantic web services (SWS).
In this work, we present a general comparison between different web engineering methodologies with
special attention to semantic web components modeling and we track the weaknesses of common web
engineering methodologies in modeling semantic web services.
This work presents also an extension to WebML methodology where symbols, diagrams and notions are
added to support the modeling of semantic web services according to DAML-S framework (DARPA
agent markup language for services). Additionally, a software tool was built to support this extension
and generate ontologies of semantic web services automatically based on new diagrams. This tool also
supports matching with semantic ranking between semantic web services advertisements and client's
requests.
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