The ability to search the Web sites has become essential for many people. However many sites have problems in giving the user the needed information. Search operations are typically limited to keyword searches and do not take into consideration the u
nderlying semantics of the content.The present technologies support most languages; Though Arabic is still not well supported. One of the main application areas of Ontology technology is semantics. Although there are many tools for developing
Ontology’s in many languages, Arabic WordNet seems to be the only one that supports Arabic language. In this paper we will define the necessary steps to develop Arabic Ontology for university sites using Arabic WordNet, and check that the developed Ontology is clean.
In this paper, we introduce an algorithm for grouping Arabic
documents for building an ontology and its words. We execute
the algorithm on five ontologies using Java. We manage the
documents by getting 338667 words with its weights
corresponding
to each ontology. The algorithm had proved its
efficiency in optimizing classifiers (SVM, NB) performance, which
we tested in this study, comparing with former classifiers results
for Arabic language.
This paper presents ArOntoLearn, a Framework for Arabic Ontology learning from textual resources.
Supporting Arabic language and using domain knowledge in the learning process are the main features of
our framework. Besides it represents the learne
d ontology in Probabilistic Ontology Model (POM), which
can be translated into any knowledge representation formalism, and implements data-driven change
discovery. Therefore it updates the POM according to the corpus changes only, and allows user to trace
the evolution of the ontology with respect to the changes in the underlying corpus. Our framework
analyses Arabic textual resources, and matches them to Arabic Lexico-syntactic patterns in order to learn
new Concepts and Relations.
Supporting Arabic language is not that easy task, because current linguistic analysis tools are not efficient
enough to process unvocalized Arabic corpuses that rarely contain appropriate punctuation. So we tried
to build a flexible and freely configured framework whereas any linguistic analysis tool can be replaced by
more sophisticated one whenever it is available.
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.
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.
Being and Event is the title of the most prominent book of the French philosopher
Alain Badiou, but it’s also a title of an entire philosophical space. Between the two sides of
this title, the philosophy has reorganized all the traditional philosop
hical concepts,
especially the truth and the subject. In this context, Badiou’s philosophy is particularly
affluent, because it returned back to the very beginning of the philosophy, and launched a
discussion with the most eminent philosophical moments in the history of philosophy. In
this article, we represent the outlines of this philosopher’s doctrine, it’s the first
representation of its kind in Arabic, and we discuss the most important topics he put up,
especially the political ones.
Service Oriented Computing (SOC) is changing the way of developing software systems.
Each web service has a specific purpose to serve, so it can not satisfy users’ request.
In this paper, we propose a Web services composition method based on OWL on
tology,
and design an automatic system model for services discovery and composition. This
method uses domain ontology and WordNet to calculate matching between input and
output parameters and uses Category ontology to solve the problem of semantic
heterogeneity in web service description. We use services with single input and single
output and cost as QoS criteria. This method can enhance the efficiency and accuracy of
service composition, and the experiments are used to validate and analyze the proposed
system.
