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The following topics are discussed: distributed artificial intelligence; knowledge-based systems; ontologies; natural language processing; machine learning and data mining; pattern recognition; neural networks; genetic and hybrid intelligent systems; computer vision and image processing; robotics, planning and scheduling; uncertainty, probabilistic reasoning and fuzzy logic; multiagent systems; and...
Belief merging is concerned with the integration of several not necessarily consistent belief bases such that a coherent belief base is developed as a result. Various belief merging models often consist of two key functions, namely: negotiation, and weakening. A negotiation function finds the weakest belief bases among the available belief bases, and then the selected belief bases concede based on...
Given that users provided with explanations have a better performance than ones without them, we have developed an explanation generation mechanism based on the selection of the most relevant variable. However, explanations generated automatically by an intelligent assistant system (IAS) and those generated manually by a human expert could have inconsistences. In this work, we present a formal validation...
In the groupware applications one of the principal aims is to supply a common context, so the more information gets shared, the more easily common context can be achieved. However, the sharing of information in this type of applications leads to provide security mechanisms. Controlling the access to resources and activities is a key element in system security. In this paper, we focus in access control...
We deal with knowledge retrieval within the context of Virtual Learning Environment (VLE). A good VLE should deliver relevant learning materials to the learner at the most appropriate time to facilitate knowledge acquisition by Problem-Based Learning (PBL). In PBL, students should retrieve information about a problem by working in small groups with the guidance of a learning facilitator providing...
Automatic summarization systems often make use of sentence extraction methods to select significant content in texts. This paper presents two-sentence extraction strategies. The first one is based on a semantic analysis using word senses built by means of a network of lexical co-occurrences. The second one uses a combination of semantic and syntactical analysis to extract a set of relevant sentences...
In this task, an approach for single document summaries based on local topic identification and word frequency is proposed. In recent years, there has been increased interest in automatic summarization. The physical features are often used and have been successfully applied to this field; it also has some disadvantages of non-redundancy, structure and coherence. Therefore, we introduced logical structure...
This paper suggests a method that breaks a long sentence into simple sentences using not only syntactical information but also a sense of a word. Unlike uniformed sentences, common sentences are often ambiguous and frequently omit particles thus they should be divided into simple sentences at semantic level. This study shows the method that analyzes the dependency structure between predicate and complement...
Lexical Cohesion is one of the important features in text processing for analyzing document structure and improving the accuracy of text processing. We present a hierarchial graph based model to measure cohesion by grouping lexically cohesive units together in a text. Latent semantic analysis is used to construct a relational graph to uncover the hidden semantics from the text by discovering new relations...
With the increase in the number of Web services and the value they are taking, discovery of services that meet the criteria of users becomes a major challenge. Currently the discovery process lacks of well-defined semantics, therefore it is difficult to obtain the non explicit meaning of services, such as functionality. In order to provide an accurate solution to the problem described above, in this...
In this paper, we propose a practical question answering system for the "Analects of Confucius" based on the pragmatics information. The "Analects of Confucius" is a classic Chinese literature by the Confucian during the Warring States Period (476 B.C-221 B.C ). But the literature can not be categorized by topics and it has comprehensive meanings, not only the literal meanings...
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