intelligent agent technology has been raised as the primary technology in the intelligent Internet and mobile computing. In this paper, MAGE (multi-agent environment) is introduced which is an environment for rapidly ...
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How to get text information from this huge information space becomes an even important problem with rapid growth of the *** this paper,a semantic indexing system GHUNT based on concept space is proposed to solve the p...
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How to get text information from this huge information space becomes an even important problem with rapid growth of the *** this paper,a semantic indexing system GHUNT based on concept space is proposed to solve the problem. Some new technologies are integrated in GHUNT to obtain good *** is an all-sided solution for information retrieval on Internet.
2.1 Text Summarization “Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)” ...
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ISBN:
(数字)9783540452249
ISBN:
(纸本)9783540408031
2.1 Text Summarization “Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)” [3]. Basic and classical articles in text summarization appear in “Advances in automatic text summarization” [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. In general, the process of automatic text summarization is divided into three stages: (1) analysis of the given text, (2) summarization of the text, (3) presentation of the summary in a suitable output form. Titles, abstracts and keywords are the most common summaries in Academic papers. Usually, the title, the abstract and the keywords are the first, second, and third parts of an Academic paper, respectively. The title usually describes the main issue discussed in the study and the abstract presents the reader a short description of the background, the study and its results. A keyword is either a single word (unigram), e.g.: ‘learning', or a collocation, which means a group of two or more words, representing an important concept, e.g.: ‘machine learning', ‘natural language processing'. Retrieving collocations from text was examined by Smadja [5] and automatic extraction of collocations was examined by Kita et al. [1].
The gene section ordering on solving traveling salesman problems is analyzed by numerical experiments. Some improved crossover operations are presented. Several combinations of genetic operations are examined and the ...
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The gene section ordering on solving traveling salesman problems is analyzed by numerical experiments. Some improved crossover operations are presented. Several combinations of genetic operations are examined and the functions of these operations are analyzed. The essentiality of the ordering of the gene section and the significance of the evolutionary inversion operation are discussed. Some results and conclusions are obtained and given, which provide useful information for the implementation of the genetic operations for solving the traveling salesman problem.
Teamwork is an effective way of cooperative problem solving in dynamic and unpredictable application contexts. The concept of joint intention is the key of teamwork. How various speech acts can be used to form, mainta...
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ISBN:
(纸本)9783540204602
Teamwork is an effective way of cooperative problem solving in dynamic and unpredictable application contexts. The concept of joint intention is the key of teamwork. How various speech acts can be used to form, maintain and dissolve the joint intention is a significant problem need to be investigated. The paper makes an in-depth analysis of the insufficiency of FIPA ACL with which agents to form the required joint intention in teamwork. We distinguish joint-request between delegation-request and extend the FIPA ACL by defining a new joint-request act whose properties are discussed. Based on the defined joint-request, we propose a teamwork protocol, associated with its formal semantic description and demonstrate its application as well. The teamwork protocol presents an interaction pattern that differs from those of existing elementary request protocol, contract-net protocol and auction protocols within FIPA Interaction Protocol Specifications. The proposed protocol can facilitate design of interaction modules in multi-agent teamwork.
How to get text information from this huge information space becomes a more important problem with the rapid growth of the Internet. A semantic indexing system GHUNT based on concept space is proposed to solve the pro...
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ISBN:
(纸本)0780379020
How to get text information from this huge information space becomes a more important problem with the rapid growth of the Internet. A semantic indexing system GHUNT based on concept space is proposed to solve the problem. Some new technologies are integrated in GHUNT to obtain good performance. GHUNT is an all-sided solution for information retrieval on the Internet.
Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the know...
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ISBN:
(纸本)0780378652
Ontological engineering methodologies have focused on the management of the whole ontology development process. However, there is a corresponding need to provide ideas and guidelines to represent and evaluate the knowledge, especially, the hierarchical knowledge. In this paper, we propose building principles of hierarchical knowledge, and identify different types of relations between categories (same relation, proper including relation, intersectional relation, compatible and parallel relation, disparate relation, contradicted relation, and opposite relation), and presents an approach to evaluate the correctness of hierarchical knowledge based on different types of attributes of categories. We also address an application of this approach to building and evaluating the hierarchical knowledge of archaeological domain.
From a scientific perspective explaining how the brain thinks is a big goal. Cognitive informatics studies intelligent behavior from a computational point of view in terms of updated research efforts and processes of ...
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ISBN:
(纸本)0769519865
From a scientific perspective explaining how the brain thinks is a big goal. Cognitive informatics studies intelligent behavior from a computational point of view in terms of updated research efforts and processes of brain science and neuroscience. Cognitive informatics is the interdisciplinary study of cognition. Cognition includes mental states and processes, such as thinking, reasoning, remembering, language understanding and generation, visual and auditory perception, learning, consciousness, emotions, etc. In this paper we will point out basic research topics of learning, memory, thought, language, and neural computing which are active fields related to cognitive informatics.
With the rapid growth of the Internet, how to get information from this huge information space becomes an even more important problem. In this paper, An Intelligence Chinese Document Semantic Indexing System; ICDSIS, ...
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With the rapid growth of the Internet, how to get information from this huge information space becomes an even more important problem. In this paper, An Intelligence Chinese Document Semantic Indexing System; ICDSIS, is proposed. Some new technologies are integrated in ICDSIS to obtain good performance. ICDSIS is composed of four key procedures. A parallel, distributed and configurable Spider is used for information gather; a multi-hierarchy document classification approach combining the information gain initially processes gathered web documents; a swarm intelligence based document clustering method is used for information organization; a concept-based retrieval interface is applied for user interactive retrieval. ICDSIS is an all-sided solution for information retrieval on the Internet.
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