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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...
Personal Space of Information (PSI) is the whole information collection about or of the person which can be the important resource to mine personal competence, personal task and corresponding required knowledge which can be converted to the evidence of individual competence and update the competence model. This paper analysis the character of PSI and introduces the method of competence modeling automatically...
This article re-visits the foundation concepts of Computational Intelligence in relation to the established field of Artificial Intelligence and describes an emerging data technology, Formal Concept Analysis, that can contribute to the topic. Technologies from Artificial Intelligence are briefly considered in relation to the need for improved knowledge representation and accessibility rather than...
This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts' consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific evidence. To address this issue, we can relate ontological relations to different research results obtained...
This paper focuses on the issue of ontological interpretation for the ARIS organization modeling language with the following contributions: (i) providing real-world semantics to the primitives of the language by using the UFO foundational ontology as a semantic domain, (ii) the identification of inappropriate elements of the language, using a systematic ontology-based analysis approach, and (iii)...
World Wide Web provides a huge collection of learning resources. However, as traditional retrieval algorithms lack the use of semantics to retrieve relevant documents, voluminous information is retrieved most of which may be irrelevant to the posted query. Due to which the learning process of a learner is slowed down. Hence, a need is felt to develop a retrieval and ranking method that produces semantically...
One of the long term objectives of robotics and artificial cognitive systems is that robots will increasingly be capable of interacting in a cooperative and adaptive manner with their human counterparts in open-ended tasks that can change in real-time. In such situations, an important aspect of the robot behavior will be the ability to acquire new knowledge of the cooperative tasks by observing humans...
This paper presents a novel approach for RT Ontology development, including ontology learning and evolution mechanism. In service robotics systems, understanding the relationship between everyday objects and user intention is the key feature to provide suitable services according to context. RT Ontology has shown to be an efficient technique to represent this relationship. In the proposed method,...
This paper presents an embeddable knowledge processing framework, along with a common-sense ontology, designed for robotics. We believe that a direct and explicit integration of cognition is a compulsory step to enable human-robots interaction in semantic-rich human environments like our houses. The OpenRobots Ontology (ORO) kernel allows to turn previously acquired symbols into concepts linked to...
Software engineering is at the very start of it's automation. There are a lot of helpers, code-generators, IDE-s and so on that does not really help to automate the complete software development life-circle from Functional requirements specification till the actual code. We explore the idea to generate the actual software solution using standard Functional requirements specification, change request...
This paper describes steps that have been taken to construct a development dataset for the task of Technology Structure Mining. We have defined the proposed task as the process of mapping a scientific corpus into a labeled digraph named a Technology Structure Graph as described in the paper. The generated graph expresses the domain semantics in terms of interdependencies between pairs of technologies...
This contribution is about an information management and storage system for modeling the environment of autonomous systems. The three pillars of the system consist of prior knowledge, environment model and sensory information. The main pillar is the environment model, which supplies the autonomous system with relevant information about its current environment. For this purpose, an abstract representation...
In the last decade, there has been significant progress on Robotics. This development has widened the intervention fields of robots, particularly the assistance and interaction with humans. Improving the quality of this interaction requires robots to be endowed with representation and/or reasoning system for spatial knowledge. Our goal is to develop a planner allowing us to use human robot interaction...
In human-robot interaction, a robot must be prepared to handle possible ambiguities generated by a human partner. In this work we propose a set of strategies that allow a robot to identify the referent when the human partner refers to an object giving incomplete information, i.e. an ambiguous description. Moreover, we propose the use of an ontology to store and reason on the robot's knowledge to ease...
In symbiotic computing approach, digital world and humans interact with each other, based on ``basic principle of symbiosis'', where they increase information processing ability, activity, and stability by offering informations and support each other. We try to build a cognitive agent that implements a dynamic ontology which aims at representing what user knows about the operating field. We want our...
In the last decades the computational linguistics community has developed important and widely used lexical resources. Although they are very popular among the Natural Language Processing (NLP) community, they do not address two important characteristics of language. The first is that the meaning of a word in a language is a collective effort defined by the people who use the language. The second...
The eCultura project aims to provide a complete set of services and applications to access and integrate diverse web-based contents of the cultural domain. Semantic web technologies have enabled sharing information such services, as well as providing interoperability within external applications. The goal is to extend over the web the knowledge base of cultural institutions, building user communities...
Assessing concept similarity is an importance activity in ontology engineering. In this paper, a new similarity measure model is proposed, in which the information content of meet-irreducible elements is employed to evaluate the similarity degree of the two concepts of concept lattice. The proposed method combines featural and structural information into decision and preserves more structure information...
The toponym information exists in all walks of life, and it is also indispensable in the administration. This paper constructs Chinese toponym ontology model to express different areas of toponym information based on SUMO with toponym and spatial geography research, referencing classification standard of China. This model can describe toponym evolution, toponym spatial relationship and toponym-based...
A learning process is substantially a knowledge management process. Computers can play multiple roles in human learning and facilitated human learning processes by providing technical, cognitive, and social support. This paper discusses knowledge management in computer-supported learning, explores the knowledge management process in learning process, and suggests how to better support knowledge management...
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