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Titlebook: Conceptual Structures for Discovering Knowledge; 20th International C Heather D. Pfeiffer,Dmitry I. Ignatov,Nagarjuna Ga Conference proceed

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發(fā)表于 2025-3-21 18:26:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Conceptual Structures for Discovering Knowledge
副標(biāo)題20th International C
編輯Heather D. Pfeiffer,Dmitry I. Ignatov,Nagarjuna Ga
視頻videohttp://file.papertrans.cn/236/235040/235040.mp4
概述Fast conference proceedings.Up to date results.State of the art research
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Conceptual Structures for Discovering Knowledge; 20th International C Heather D. Pfeiffer,Dmitry I. Ignatov,Nagarjuna Ga Conference proceed
描述This book constitutes the proceedings of the 20th International Conference on Conceptual Structures, ICCS 2013, held in Mumbai, India, in January 2013. The 22 full papers presented were carefully reviewed and selected from 43 submissions for inclusion in the book. The volume also contains 3 invited talks. ICCS focuses on the useful representation and analysis of conceptual knowledge with research and business applications. It advances the theory and practice in connecting the user‘s conceptual approach to problem solving with the formal structures that computer applications need to bring their productivity to bear. Conceptual structures (CS) represent a family of approaches that builds on the successes of artificial intelligence, business intelligence, computational linguistics, conceptual modeling, information and Web technologies, user modeling, and knowledge management.
出版日期Conference proceedings 2013
關(guān)鍵詞concept lattices; conceptual graphs; learning; models; semantic Web
版次1
doihttps://doi.org/10.1007/978-3-642-35786-2
isbn_softcover978-3-642-35785-5
isbn_ebook978-3-642-35786-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Classical Syllogisms in Logic Teachingm written in Prolog+CG, some empirical studies have been carried out involving three groups of students in Denmark; one group of philosophy students and two groups of students of informatics. The skills of the students in syllogistic reasoning before and after the logic courses have been studied and
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A Model to Compare and Manipulate Situations Represented as Semantically Labeled Graphsss with a collaborative effort to learn about importance of situations. In this paper we focus on defining a conceptual graph-based model used to represent situations in our system, so that it would (1) be consistent with existing formal definitions of situation, and (2) enable logical manipulations
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Analyzing Clusters and Constellations from Untwisting Shortened Links on Twitter Using Conceptual Grgest that conceptual graphs provide a mechanism for representing knowledge about a domain that can also be used as a useful scaffold for big data analysis. Conceptual graphs may be used as a means to collaboratively build up a robust model forming the skeleton of a data analysis project. This paper
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Taking SPARQL 1.1 Extensions into Account in the SWIP Systemexpressed in natural language is translated into a SPARQL query. Our system analyses the sentence in order to exhibit concepts, instances and relations. Then it generates a query in an internal format called the pivot language. Finally, it selects pre-written query patterns and instantiates them wit
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System Architecture to Implement a Conceptual Graphs Storage in an RDF Quad Store our knowledge, there is a lack of conceptual graphs storage and retrieval engine capable of scaling up. In this paper, we propose to utilize the power of the RDF stores, and present a complete system and methods to implement an efficient conceptual graphs storage and retrieval engine in an RDF stor
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