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This study presents a new approach in developing an ontology based expert system to diagnose thyroid diseases. Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. Its merit is that the represented knowledge is both computer and human readable. The adoption of ontology in healthcare has facilitated domain experts...
One of the important points in cloud service systems is information retrieval. After the failure of information made for a specific work in cloud environment, retrieving new information that builds the concept network is an important problem. In our solution when an information component in a concept network encounters failure, the adjacent components will be reported about the failure, by cooperating...
Semantic Web facilitated e-learning, where Computer-Assisted Assessment-CAA has vitally contributed for effective use of computers to evaluate Open-ended questions for free-text response. Domain Ontology as an aid to CAA, plays a very pivotal role by preserving domain-specific conceptual knowledge that not only endorse the semantic capability of Information Retrieval as Question Answering, but is...
Information Retrieval systems have become a crucial part of any search engine, taking into consideration the increased number of pages and documents added to the World Wide Web every day. Question/Answering systems are specific to retrieve the most accurate answer among several documents; this paper will present an improved methodology and implementation of an open domain Arabic Question Answering...
As a data integration technology, ontology has been widely used in the knowledge systems and domain knowledge representation. An ontology construction and fusion technology for large-scale data is very important. In this paper, we propose a parallel ontology construction and fusion approach adapted to MapReduce framework based on the traditional ontology technology and MapReduce. The method separates...
Social network like a corpus with valuable data, has attracted much attention from a various fields of researchers in recent years, especially in the subject of big data analytics. However, as the foundation, the part of efficient and accurate data collection has not been focused much in the past published works. During the data among the web increasing rapidly, this article will identify two major...
Collaborative learning environments bring together learners from different cultures and social contexts, around a common task. These learners interact both with each other and with computers. Hence, a dual problem arises: how to model and integrate socio-cultural factors that characterize these learners? How to design and develop culture-aware collaborative learning environments? This paper addresses...
Requirements change is an inevitable activity and can occur due to changes in user demands, increased understanding of the stakeholders, customer organization, project vision, requirements specification and availability of technological solutions. Although requirements change management (RCM) is not a straightforward process in collocated software development, the presence of geographical, social,...
In this paper, we show how computational methods can help attaining uniformity in interpretation, a valuable asset in the legal field, and even a duty itself in our use case of choice: the 1980 Vienna Sales Convention (CISG). We investigate the common ground between traditional and computational models and describe some tools for the representation and interpretation of the CISG terminology that can...
Al-Quran knowledge representations involved classification of Al-Quran verses for providing better understanding of the readers. In the current era of social media challenges, the representation of knowledge must be understood by human and computer in order to ensure the correctness of Al-Quran semantics are persevered. Current approaches used conventional methods such as taxonomy, hierarchy or tree...
The article describes the method of malware activities identification using ontology and rules. The method supports detection of malware at host level by observing its behavior. It sifts through hundred thousands of regular events and allows to identify suspicious ones. They are then passed on to the second building block responsible for malware tracking and matching stored models with observed malicious...
Information searching over unstructured P2P network like CHORD, KADEMILLA, PASTRY mainly use literal matching words occurrence in documents with those present in users queries. This process of searching does not deal with the semantics and semantic relationships of words. In this paper, we resolve this problem by proposing a Scheme to search information semantically over unstructured P2P network,...
Ontology Based DataBase (OBDB) is a database model that allows both ontologies, which is a formal representation of terms related to specific domain, and their instances to be stored and queried in a single database. In this paper, we propose the construction of OBDB for the development of medical system. The idea is to automatically construct OBDB using rules and used it in the construct of medical...
A concept of the Semantic Web provides a frame-work for development of systems with higher levels of usability, operability and independence. One of the most intriguing ideas of this new paradigm is related to the vision of web systems requiring minimal involvement of humans in activities related to a pre-selection and eventually selection of most promising alternatives among all obtained options...
Preparation of a training image dataset used for the genetic object recognition system needs a lot of costs. Some datasets were recently created from Web image sharing services like Flickr, but examples which utilize a semantic classification or information of tags given to photos are quite few. This paper proposes an automatic generation method of an image dataset by introducing semantics of each...
Nowadays usages of web is increasing at a fast pace. Most of web pages contain text written in natural language. Humans can read web pages and understand them, but the inherent meaning is not available in a structured form that computers can interpret. The understanding of the meaning of text is indispensable to make machines to better understand text in human language. This paper presents an approach...
The Semantic Web is an extension of the current World Wide Web, and aims to help computers to understand and process web information automatically. In recent years, the integration ontologies and rules has become a central topic in the Semantic Web. Therefore, significant research efforts have focused on integration description logic programs. However, description logic programs cannot well model...
Intelligent computing requires extensive knowledge containing possibly all of information and intelligence utilizing the knowledge. These two requirements have close interactions with each other. This paper takes a look at various kinds of research on intelligent computing from the perspective of semantic techniques and examines core works for the present and the future.
This research investigates sports fans' emotions and feelings toward a professional football game as a unique event offering related services, crowd interactions, performances, incidences, and outcomes. Critical incident surveys (open-ended, written text dialogues) were used to identify the most salient positive and negative phrases used to express football fans' game experiences. The key term frequencies...
Any activity in a computer-supported cooperative working environment produces a set of traces. In a collaborative working context, such traces may be very voluminous and heterogeneous. They reflect all the interactive actions among the actors themselves and between the actors and the system. This paper examines what is required to exploit traces in the context of a collaborative working environment...
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