6 edition of Evolving knowledge bases found in the catalog.
Evolving knowledge bases
JoГЈo Alexandre Leite
Includes bibliographical references.
|Statement||João Alexandre Leite.|
|Series||Frontiers in artificial intelligence and applications -- v. 81. -- Dissertations in artificial intelligence, Frontiers in artificial intelligence and applications -- v. 81., Frontiers in artificial intelligence and applications|
|LC Classifications||QA76.63 .L45 2003|
|The Physical Object|
|Pagination||xviii, 307 p. :|
|Number of Pages||307|
|ISBN 10||158603278X, 4274905713|
|LC Control Number||2002116113|
In this book, we incrementally specify, semantically characterize, and illustrate with examples, the concepts and tools necessary to the development of Evolving Knowledge Bases (EKB). An EKB is a knowledge base which can not only be externally updated, but is also capable of self evolution by means of its internally specified Evolving Ontological Knowledge Bases through Agent Collaboration Evolving Ontological Knowledge Bases through Agent Collaboration This paper presents initial work that will enable an agent to augment its ontology to incorporate required knowledge from other
This book consists of selected, upgraded papers, originally presented at the 19th European-Japanese Conference on information modelling and knowledge bases (EJC ). Drawing together researchers and practitioners from the field, EJC conferences aim to advance research into, and the application of, information modelling and knowledge University of Alabama in Huntsville; Computer Science Dept. Huntsville, AL; Order Number: UMI order no. GAX Save to Binder Binder Export Citation Citation
ClearPass: Understanding BYOD and today’s evolving network access security requirements In PDF, epub and mobi formats. Aruba clearpass ebook_chpt1_final from AirheadsSocial evolving expert knowledge bases applications of crowdsourcing and serious gaming to advance knowledge development for intelligent tutoring systems may mark floryan, b.s., university of virginia m.s., university of massachusetts amherst ph.d., university of massachusetts amherst directed by: professor beverly park ?article=&context=open_access_dissertations.
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Order Evolving Knowledge Bases ISBN @ € Qty: In this thesis, we incrementally specify, semantically characterize, and illustrate with examples, the concepts and tools necessary to the development of Evolving Knowledge Bases (EKB). Evolving knowledge bases: specification and semantics.
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Find more information about: ISBN: X Evolving Knowledge Bases. Specifications and Semantics. Volume 81 Frontiers in Artificial Intelligence and Applications Author: J.A. Leite Januarypp., hardcover ISBN: Get this from a library. Evolving knowledge bases: specification and semantics.
[João Alexandre Leite] -- An Evolving Knowledge Base (EKB) is capable of self evolution by means of its internally specified behaviour. In this thesis the author incrementally specifies, semantically characterizes and For the purpose of verifying properties of Evolving knowledge bases book knowledge bases in this language, they define a syntax and semantics for Computational Tree Logic (CTL), a branching temporal logic, :// M.
Rashid et al. / A Quality Assessment Approach for Evolving Knowledge Bases 3 We propose both quantitative and qualitative ex-perimental analysis on two different KBs. Traditional data quality is a largely investigated re-search ﬁeld, and a large number of quality charac-teristics and measures is available.
To identify a Knowledge bases are nowadays essential components for any task that requires automation with some degrees of intelligence.
Assessing the quality of a Knowledge Base (KB) is a complex task as it often means measuring the quality of structured information, Evolving knowledge bases book and vocabularies, and queryable Completeness and Consistency Analysis for Evolving Knowledge Bases Mohammad Rifat Ahmmad Rashida,b, Giuseppe Rizzob, Marco Torchianoa, Nandana Mihindukulasooriya c, Oscar Corcho, Raul´ Garc´ıa-Castroc aPolitecino di Torino, Turin, Italy.
bIstituto Superiore Mario Boella, Turin, Italy. cOntology Engineering Group, Universidad Politecnica´ de Madrid, Boadilla del Monte, In this paper, we introduce a framework for reasoning about evolving knowledge bases, which are represented as ELPs and maintained by an update policy.
We describe a formal model which captures various update approaches, and define a logical language for expressing properties of evolving knowledge :// Reasoning about Evolving Nonmonotonic Knowledge Bases.
09/16/ ∙ by T. Eiter, et al. ∙ TU Wien ∙ 0 ∙ share. Recently, several approaches to updating knowledge bases modeled as extended logic programs have been introduced, ranging from basic methods to incorporate (sequences of) sets of rules into a logic program, to more elaborate methods which use an update policy for specifying knowledge bases in education - cognitive psychology, child development, neuro-linguistics, sociology and so on in addition to pedagogy and subject disciplines - the structures of the individual knowledge bases and the knowledge actors' relationships to them are more differentiated than any number of elegant dichotomies would language for reasoning about evolving knowledge bases (Section 4), which employs lin-ear and branching-time operators familiar from Computational Tree Logic (CTL) .
Using this language, properties of an evolving knowledge base can be formally stated and evaluated in a systematic fashion, rather than ad hoc. For example, the above Problems and Solutions with Integrating Terminologies into Evolving Knowledge Bases Kurt L. Rickard, José L.
Mejino Jr., Richard F. Martin, Augusto V. Agoncillo, Cornelius Rosse Structural Informatics Group, Departments of Biological Structur e, and Medical Education and Biomedical Informatics, University of Washington, Seattle, WA In more detail, we characterize the complexity of reasoning for some meaningful classes of evolving knowledge bases, ranging from polynomial to double exponential space complexity.
References Abiteboul, S., Vianu, V., Fordham, B. S., and Yesha, Y. Abstract. Logic programming has often been considered less than adequate for modelling the dynamics of knowledge changing over time. In this paper we describe Evolving Logic Programs (EVOLP), a simple though quite powerful extension of logic programming, which allows for modelling the dynamics of knowledge bases expressed by programs, and illustrate its usage in modelling agents In this paper, we introduce a framework for reasoning about evolving knowledge bases, which are represented as extended logic programs and maintained by an update policy.
We first describe a formal model which captures various update approaches, and we define a logical language for expressing properties of evolving knowledge :// 2 Evolving Ontological Knowledge Bases through Agent Collaboration when it is bene cial to incorporate new concepts.
Possible overheads include the computational complexity of the mediator’s translation service, or a payment re-quired by the mediator.
Additionally, the agent that requires new knowledge In this paper, we introduce a framework for reasoning about evolving knowledge bases, which are represented as extended logic programs and maintained by an update policy.
We first describe a formal model which captures various update approaches, and we define a logical language for expressing properties of evolving knowledge ?doi= Evolving Knowledge in Nutrition. Just as new medications often have advantages over previous ones, diet approaches evolve as well, with new dietary methods building on previous ones and research studies putting diets to the test.
This book summarizes the most effective dietary interventions for common conditions and provides information to CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): this paper, we introduce a framework for reasoning about evolving knowledge bases, which are represented as extended logic programs and maintained by an update policy.
We rst describe a formal model which captures various update approaches, and we de ne a logical language for expressing properties of evolving ?doi=. I DATA & KNOWLEDGE ENGINEERING ELSEVIER Data & Knowledge Engineering 29 () Time-evolving rule-based knowledge bases N.A.
Lorentzos*, C.E Yialouris, A.B. Sideridis lnformatics Laboratory, Agricultural University of Athens, lera O Athens, Greece Received 1 July ; accepted 9 November Abstract Human knowledge in any expertise area changes Larger knowledge bases, such as DBpedia, lack the precise definition of integrity constraints, and it is a tedious task to create these constraint definitions from scratch manually.
In DBpedia KB  (version ), a person should have exactly one value for the “dbo:birthDate” property or the values of the “dbo:height” property Knowledge Bases for Content Search and Retrieval. By going beyond just keywords, concepts and tags, the knowledge base improves content indexing and advanced search.
It provides the knowledge behind individual concepts and allows search engines and other content retrieval applications to interpret text and match it to advanced ://