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Knowledge sharing has been the key to being competitive, and to making the enterprises maintain the capability of continuous innovation. In this paper, an analytical framework based on competitive advantage of knowledge sharing between organizations and the compromises in order to share knowledge was proposed. Firstly, the various acts and the costs that can achieve knowledge sharing between the organizations...
In the domain of intelligent collaboration, the application of semantic information is a prospective research field. The collaboration system of the forthcoming generation is expected to consist of semantic services of applications as well as semantic human-machine interpretation. In this paper, a simple example of such a system is introduced. Based on this example system, the operation of semantic...
We need to clarify features of human speech to make assistive robots more human adaptive. In this study, we focused on speech produced in human-human virtual collaborative conveyer task and transcribed all utterances spoken while completing the task. We computed morphemes (words or meaningful parts of words) by word class categories. The results were that the total number of morphemes spoken in each...
While most activity recognition systems rely on data-driven approaches, the use of knowledge-driven techniques is gaining increasing interest. Research in this field has mainly concentrated on the use of ontologies to specify the semantics of activities, and ontological reasoning to recognize them based on context information. However, at the time of writing, the experimental evaluation of these techniques...
Spatial relations and spatial reasoning are essential in cognitive systems. Human uses qualitative words of natural language to represent his perceptions about spatial structures. Computational systems which want to manipulate this perception need to be able to convert quantitative data into qualitative ones and vice versa. These perceptions are normally described by imprecise, vague and relative...
This article proposes a combination of object-oriented and ontology-based approaches for real-time interworking of human behaviour models in the context of agent-based simulation systems. We present a conceptual design of a semantic intermediation framework, including the split of the responsibilities between the intermediation ontology and software code. We illustrate our design in the context of...
This paper presents an initial system design approach for a data association process in the domain of counterinsurgency where multiple streaming soft (textual message) observation reports are a critical input to the process. An overview of the system includes processes from intelligent input control of soft data to the formation of associated, merged messages that are based on a methodology employing...
Due to environmental and contextual changes, it is often required to configure and re-configure sensor network services. The burden of programming a sensor network, as a consequence of these changes, can be alleviated with a plug-and-play approach that allows dynamic adaptation of sensor network services. In this paper, we briefly present a semantics-based methodology to avail self-configuration of...
This paper addresses the general problem of bridging the gap between sensor output and the structured reports needed and handled by end users in several practical applications. Sensors perform measurements used to characterize world entities according to their physical features, such as weight or speed or even more abstract features extracted from signal statistics such as spectral higher-order moments...
This paper discusses a novel approach to large scale information fusion in contemporary applications, such as environmental monitoring, crisis management, maritime security, etc. The emphasis is on tractable implementation of sound and reliable fusion systems which can cope with large quantities of heterogeneous information obtained via sensors, mobile communication devices, Internet and databases...
This paper proposes a new approach for an estimation of user's intention using Self-Organizing Map (SOM), ontology, and Petri-net. In order to construct the intention estimator, the ontology and Petri-net are used to classify the operational intention. The SOM technique is used to form the relation between the intention modes and operational state. A kind of knowledge data base of user's intention...
The paper describes a methodology of building a semantic model of disease symptoms. The fundamental techniques used for creating the model are text analysis and learning from examples. The text analyser is used for extracting a set of symptom descriptions. The descriptions are a foundation for delivering a user interface, necessary for collecting patient cases. Given the cases a semantic model is...
E-commerce is becoming more widespread as its ability being recognize to rapidly respond to requests and as more products and services become available. At the present time, only human beings are able to understand the services and product information published online. This cause unnecessary delay in decision making and increase the efforts of humans. In current e-World agents are replacing humans...
The development of domain ontology is important in building a list of vocabulary whereas the process of sharing and reusing this knowledge management can be accomplished easily. This paper presents the challenges that arise in the ontology development area by focusing on one domain concept. Domain concept here can be transversed from different disciplines, such as agricultural, medicine, human-anatomy,...
Our research revolves around collaborative platforms entirely dedicated to research activities for several scientific organizations. Here, researchers from different domains interact and exchange information using our platforms as the common ground involving new concepts, methods and services to encourage collaborative work for their research activities. The work is based on the co-operation and collaboration...
This paper presents a method to enhance location awareness by using semantic composition of AT-LOCATION and PART-WHOLE semantic relations. The method generates axioms that infer new location relations based on relations that are extracted by a semantic parser. Experimental study with WordNet glosses shows that the method increases the amount of location knowledge by two orders of magnitude. The precision...
Tourism sciences represent a very active research field in Computer Science today. In particular, in the realm of ubiquitous computing. The evolution of mobile devices and their proliferation in society, the advancement of communication technologies and the trend toward creating hybrid spaces (symbiosis between nature and technology) will trigger a radical change in the way persons involved in mobility,...
The decisions made by the operation commander in emergency situations should be made quickly to save lives. To avoid late or bad decisions, the commander must construct a situational awareness. The irregular arrival flow of information, uncertainty, information overload and lack of persistence are the main factors that hinder this task. To minimize these effects we propose an architecture composed...
All I know is that I know nothing (Socratic Ignorance). The world is an increasingly complex with problems that require swift resolution. Although knowledge is widely available, be it stored in companies' databases or spread over the Internet, humans have intrinsic limitations for handling very large volumes of information or keeping track of frequent updates in a constantly changing world. Moreover,...
Since the problem of autonomy is a fundamental philosophical issue of Artificial Intelligence, our goal in this paper is to revise the Argument from Autonomy with the help of some distinctions extracted from a broader framework of discussions in philosophy. We make a revision of the Argument from Autonomy by making a series of distinctions between agents, programs, and between the origins and exercises...
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