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SNS (Social Network Service) characterized by Facebook and Twitter has become the next generation paradigm of obtaining data, information and knowledge on the web. The aim of this paper is to recommend relevant expert communities to users on the social network by exploiting the extended object-based thesaurus. It is basically an object- based thesaurus taking the urls of domain experts as its instances...
Selecting professional and authoritative experts to evaluate projects is an essential process in order to assure the quality of projects. In this paper, we present a semantic-based expert information system, which search for expert information based on semantic and knowledge reasoning, and rank the search results according to the scientific capability of experts. We design software architecture for...
This paper presents a developed ontology-based intelligent agent in Monte-Carlo Tree Search (MCTS) for the computer Go application. Unlike previous research, this paper employs features derived from professional Go players' domain knowledge to transform them into the opening-book sequence and represent them by a computer Go ontology. Afterward, the domain experts validate the built ontology. The developed...
The existing expert information systems supply services for searching information of experts and help the users to select suitable experts to evaluate all types of projects in different fields, however, almost all of these search services use keyword match, and it is hard to gain high search efficiency. Ontology has been proved to be very useful in sharing concepts across applications in an unambiguous...
Meeting distributed detection's requirements of accuracy, expansibility and portability, ontology is introduced to organize and systematize all intrusion detection behavior at any level, consequently reducing ambiguity and supporting share. The paper presented ontology-based intrusion detection model with advantages of hierarchical and cooperative models, and then the deduction of expert system was...
This paper describes the design of a fault diagnostic maintenance system for steam turbines based on a domain ontology and coupled to an expert system. The main data and information constituting the system come from disparate data bases with different usage. In this case a database for equipment characteristics and another containing maintenance acts defining symptoms, defects and remedies for maintenance...
Human experts frequently communicate to find a solution to a complicated problem or to confirm their thought about how to solve a problem. An expert system could be facilitated to consult with other same domain expert system in order to better handle a request, too. In this paper a distributed rule-based expert system is designed and implemented. The required protocol for the communication of the...
This article introduced the concept of ontology to knowledge representation of image recognition of stored-grain pests; it focused on the use of ontology to organize and implement the ontology model, and constructed image recognition of stored-grain pests' knowledge base what could be shared by the expert system. Finally, it basically achieved system framework of the knowledge base.
In this paper, expert system and ontology technology are studied. Framework model of ontology-based selection and matching expert system is built up by using the ontology language OWL. Ontology query and retrieval technology are introduced and achieved by using QueriesTab tool which is a plug-in of protégé. OWL ontology is stored in database by using MySQL language. At last, we did experiment in...
Ontologies in the Software Engineering domain can improve the acquisition of knowledge in this field by providing a formal representation of this knowledge domain. When encoded in a XML-based format, ontologies can therefore be easily processed by a knowledge management system, an expert system or a browser so it is possible to facilitate the location of Software Engineering resources in repositories...
Rich information is scattered under Indonesian Choral Lovers (ICL) mailing list and many of its members prefer posting a query-mail to using the available search engine. A text retrieval system based on ontology is then proposed. However, considering the continual number of emails, developing an automatic ontology constructor (OC) will be the focus of the study while the retrieval system becomes an...
Many kinds of anti-diabetic drugs that doctors could prescribe because of pharmaceutical progressing. Our study uses Protégé to build an anti-diabetic drugs ontology and a patient data ontology. The anti-diabetic drugs ontology was used to store medicine knowledge and the patient data ontology to store personal information. In this paper, we adopted the “Medical Guidelines for Clinical Practice...
This paper introduces a novel vision for further enhanced Internet of Things services. Based on a variety of data - such as location data, ontology-backed search queries, in- and outdoor conditions - the Prometheus framework is intended to support users with helpful recommendations and information preceding a search for context-aware data. Adapted from artificial intelligence concepts, Prometheus...
The paper proposed and developed a core component an “information agent shell,” IAS, to apply in the general Web systems and investigate the related problems with the extension in a wide variety of application areas. The shell contains the four main components: OntoCrawler, OntoExtractor, OntoClassifier, and OntoRecommender, which are responsible for information searching, information extracting,...
The present paper proposes the model of an expert system able to control domotic installations, called IntelliDomo. It is an ontology and production SWRL rules-based expert system that has the ability of learning user's habits and preferences in an automatic way. The system obtains its data analyzing the actions that the user frequently performs. The main goal is to detect and to discover new behaviour...
This research paper brings together the fields of systems engineering and media studies to investigate the cinema/television/computer/mobile device screen as a dynamic interface through which points of engagement or how the aesthetics and narrative structures presented on the screen engage the user and create meaning. The co-authors work towards the development of a “screen real estate grammar” or...
The determination of a Bayesian network structure, especially in the case of wide domains, can be often complex, time consuming and imprecise. Therefore the interest of scientific community in learning Bayesian network structure from data is increasing: many techniques or disciplines, as data mining, text categorization, ontology building, can take advantage from structural learning. In literature...
In knowledge economy age in which knowledge have become the most precious resource, e-Learning is used to not only acquire knowledge but also to maintain competitiveness and advantages for individuals or organizations. However, the early promise of e-Learning has not been fully realized. In most of its implementation, it is not more than a handout being published online. This paper aims to exploit...
The reliability and acceptability of an expert system depends mainly on the quality of knowledge. An ontology defines the terms used to describe and represent an area of knowledge. In order to organize the insect knowledge more orderly and computer-usable, an ontology for insect was developed. The insect ontology is the basis for the identification of an insect from its characteristics, and for beginners...
The characteristics of disaster management is different in different disaster relief on disaster relief information, knowledge, standardization of operating procedures and the feasibility of the rescue program. Knowledge-sharing and case retrieval is to develop case-based intelligent decision support system facing the most important issue. Disaster rescue command for decision-making, the use of Web...
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