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In this paper, we present a method to obtain optimized query refinements of assertion axioms in the Rough Description Logic ALC. This method is based on the notion of discernibility matrix commonly used in the process of attributes reduction in the rough set theory. It consists of finding sets of concepts which satisfy the rough set approximation operations in assertion axioms. Consequently, these...
Most of the foreign students studying abroad in Taiwan may not speak Mandarin. It is important for them to learn Mandarin for their daily life. Although universities in Taiwan provide Mandarin classes, we design this system to overcome limitations of time and space occurring in traditional classroom. The system architecture provides contents in a smart phone application with multilingual versions...
This paper presents a knowledge representation framework for natural language understanding. Here we propose an automated knowledge acquisition mechanism that mirrors information extraction in human-human interaction. This framework utilizes knowledge based automatic role labeling and automatic concept learning together with a conceptual structure that captures intent and context. The resulting framework...
Repairing an inconsistent knowledge base is a well known problem for which several solutions have been proposed and implemented in the past. In this paper, we start by looking at databases with active integrity constraints - consistency requirements that also indicate how the database should be updated when they are not met - as introduced by Caroprese et al.We show that the different kinds of repairs...
This article presents a context adaptive approach for multimodal interaction for the use in cognitive technical systems, so called companion systems. A system architecture is presented and we clarify where context awareness occurs on different levels with a layered context model. The focus is on the topics of dialog management, multimodal fusion, and multimodal fission, as the main participants in...
Combining and incorporating rich semantics of user social data, which is currently fragmented and managed by proprietary applications, has the potential to more accurately represent a user's social ecosystems. However, social ecosystems raise even more serious privacy concerns than today's social networks. This paper proposes to model privacy as contextual integrity by using semantic web tools and...
This paper introduces a formalization of the Data, Information, Tacit and Explicit Knowledge process (DITEK) empirical model. This formalization reduces the gap between empirical and formal worlds, what led us to consider it as an opportunity to enhance the communication between users and designers of digital information systems. Notably, the designer will be aware of the role of the user as a component...
According to [1], in order to share knowledge and information it is necessary to share a set of conceptual structures within a collaborative network. Therefore, to develop an organizational information system it is required to engage in a negotiation process so that it is possible to obtain a common vocabulary. To support and improve such process, this paper presents an approach that takes advantage...
The development of information management systems stimulates the search for new forms of supporting business processes which take place in the organization. One of the solutions that can be applied here is software agents that enable support activities to the employee and the customer promoting information and knowledge about the organization. Such solutions are commercially available for several...
Crisis management, first responders and military organizations are often deployed in dynamic environments where standard operating procedures and set routines are insufficient to control the unfolding events. In such operations, controllers may rely on experience from scenario-based training or prior missions to make well-grounded decisions. This article proposes a knowledge base for capturing and...
Location-based services have faced a development from being a hype to be used by a large user community at any place and time. However, only a few approaches exist, that take into account social interactions and learn from them in order to refine recommendations of points of interests accordingly. This paper analyzes the influence factors of mobile users for the choice of interests and derives an...
In recent years the concept of trust has found its way into Information Systems research, especially in the field of technology acceptance. Trust is considered an important driver for the success of technologies. In this context, trust is particularly relevant for Multi Criteria Decision Support Systems (MCDSS), due to the inherent complexity of the methods and the often high impact of the underlying...
This paper examines the requirements and argues about the features that an ontological knowledge base should encompass in order to represent semantic information pertinent to a user and suitable for context-aware preference elicitation and content recommendation. It explores existing formal ontologies suitable to represent user characteristics and the diverse information in digital media, as well...
In the past, approaches to mining spatial and spatio-temporal data for interesting patterns have mainly concentrated on data obtained through observations and simulations where positions of objects, such as areas, vehicles, or persons, are collected over time. In the past couple of years, however, new datasets have been built by automatically extracting facts, as subject-predicate-object triples,...
Preprocessing the input text is an essential component in a Natural Language Processing (NLP) system. We are discussing the relevance of the preprocessors in the context of Machine Translation system developed by us based on AnglaBharati Technology. Whenever we come across with text for translation we encounter with the special formats in an input text and getting its appropriate translation is a...
In the context of mobile devices, services from several devices can be composed. Such compassable services may include data and device resources, such as microphones or cameras. The services can be composed to create collaborative composite services, such as video streaming. The mobility of the devices makes the service compositions inherently dynamic. Further, the set of possible service compositions...
In this paper we discuss the problem of action-specific knowledge processing, representation and acquisition by autonomous robots performing everyday activities. We report on a thorough analysis of the household domain, which has been performed on a large corpus of natural-language instructions from the Web and underlines the supreme need of action-specific knowledge for robots acting in those environments...
Building upon the expectation disconfirmation theory and prior satisfaction studies, this study proposes a research model explaining user information satisfaction in knowledge-based virtual communities. The proposed model was tested using an online survey that was conducted among the users of a non-profit-making Bulletin Board Systems established by a local university in mainland China. The results...
In the past years, an important volume of research in Natural Language Processing has concentrated on the development of automatic systems to deal with affect in text. In spite of this interest, the performance of the approaches is still very low. An explanation to this fact is that emotion is most of the times not expressed through specific words, but by evoking situations that have an affective...
In the context of semantic knowledge bases, among the possible problems that may be tackled by means of data-driven inductive strategies, one can consider those that require the prediction of the unknown values of existing numeric features or the definition of new features to be derived from the data model. These problems can be cast as regression problems so that suitable solutions can be devised...
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