| Description |
1 online resource (xii, 206 pages) : illustrations |
| Series |
Lecture notes in computer science, 0302-9743 ; 6208. Lecture notes in artificial intelligence |
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LNCS sublibrary. SL 7, Artificial intelligence |
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Lecture notes in computer science ; 6208.
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Lecture notes in computer science. Lecture notes in artificial intelligence
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
Invited Papers -- Entities and Surrogates in Knowledge Representation -- Exploring Conceptual Possibilities -- Graphical Representation of Ordinal Preferences: Languages and Applications -- Combining Description Logics, Description Graphs, and Rules -- Practical Graph Mining -- Accepted Papers -- Use of Domain Knowledge in the Automatic Extraction of Structured Representations from Patient-Related Texts -- Translations between RDF(S) and Conceptual Graphs -- Default Conceptual Graph Rules, Atomic Negation and Tic-Tac-Toe -- On the Stimulation of Patterns -- Ontology-Based Understanding of Natural Language Queries Using Nested Conceptual Graphs -- An Easy Way of Expressing Conceptual Graph Queries from Keywords and Query Patterns -- Natural Intelligence -- Commonsense Question Answering with Conceptual Graphs -- Learning to Map the Virtual Evolution of Knowledge -- Branching Time as a Conceptual Structure -- Formal Concept Analysis in Knowledge Discovery: A Survey -- Granular Reduction of Property-Oriented Concept Lattices -- Temporal Relational Semantic Systems -- Accepted Posters -- FcaBedrock, a Formal Context Creator -- From Generalization of Syntactic Parse Trees to Conceptual Graphs -- Conceptual Structures for Reasoning Enterprise Agents -- Conceptual Graphs for Semantic Email Addressing -- Introducing Rigor in Concept Maps -- Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks |
| Summary |
The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R & D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available |
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The scope of LNAI spans the whole range of artificial intelligence and intelligent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes |
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-Proceedings (published in time for the respective conference) |
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-Post-proceedings (consisting of thoroughly revised final full papers) |
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-Research monographs (which may be based on PhD work) |
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More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include |
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-Tutorials (textbook-like monographs or collections of lectures given at advanced courses) |
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-State of the art surveys (offering complete and mediated coverage of a topic) |
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-Hot topics (introducing emergent topics to the broader community) --Book Jacket |
| Bibliography |
Includes bibliographical references and author index |
| In |
Springer eBooks |
| Subject |
Conceptual structures (Information theory) -- Congresses
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Artificial intelligence.
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Data mining.
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Artificial Intelligence
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Data Mining
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Electronic Data Processing
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artificial intelligence.
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Informatique.
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Conceptual structures (Information theory)
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Croitoru, Madalina.
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Ferré, Sébastien.
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Lukose, Dickson.
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| ISBN |
9783642141973 |
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3642141978 |
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9783642141966 |
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364214196X |
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