다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaikos book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

Ontology Matching

While the study of psychology has offered little in the way of explaining the creative process, Koestler examines the idea that we are at our most creative when rational thought is suspended--for example, in dreams and trancelike states. All who read The Act of Creation will find it a compelling and illuminating book.

The Act of Creation

In this provocative book, Barwise and Perry tackle the slippery subject of \"meaning, \" a subject that has long vexed linguists, language philosophers, and logicians.

/pdf/situations-and-attitudes-57f065zg2d.pdf

Situations and Attitudes.

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mappings has been the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping.

/pdf/ontology-mapping-the-state-of-the-art-91mok9nz44.pdf

Ontology mapping: the state of the art

Ontology mapping is seen as a solution provider in today's landscape of ontology
research. As the number of ontologies that are made publicly available and
accessible on the Web increases steadily, so does the need for applications to use
them. A single ontology is no longer enough to support the tasks envisaged by a 
distributed environment like the Semantic Web. Multiple ontologies need to be 
accessed from several applications. Mapping could provide a common layer from which
several ontologies could be accessed and hence could exchange information in 
semantically sound manners. Developing such mapping has beeb the focus of a variety
of works originating from diverse communities over a number of years. In this
article we comprehensively review and present these works. We also provide insights
on the pragmatics of ontology mapping and elaborate on a theoretical approach for
defining ontology mapping.

https://drops.dagstuhl.de/opus/volltexte/2005/40/pdf/04391.KalfoglouYannis.Paper.40.pdf/

Ontology Mapping: The State of the Art

In order to tackle the need of sharing knowledge within and across organisational boundaries, the last decade has seen researchers both in academia and industry advocating for the use of ontologies as a means for providing a shared understanding of common domains. But with the generalised use of large distributed environments such as the World Wide Web came the proliferation of many different ontologies, even for the same or similar domain, hence setting forth a new need of sharing–that of sharing ontologies. In addition, if visions such as the Semantic Web are ever going to become a reality, it will be necessary to provide as much automated support as possible to the task of mapping different ontologies. Although many efforts in ontology mapping have already been carried out, we have noticed that few of them are based on strong theoretical grounds and on principled methodologies. Furthermore, many of them are based only on syntactical criteria. In this paper we present a theory and method for automated ontology mapping based on channel theory, a mathematical theory of semantic information flow. We successfully applied our method to a large-scale scenario involving the mapping of several different ontologies of computer-science departments from various UK universities.

/pdf/if-map-an-ontology-mapping-method-based-on-information-flow-1hv4cja9k2.pdf

IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory

The project COINVENT acknowledges the nancial support of the Future and Emerging Tech-
nologies (FET) programme within the Seventh Framework Programme for Research of the Eu-
ropean Commission, under FET-Open Grant number: 611553

/pdf/coinvent-towards-a-computational-concept-invention-theory-3s530lrn77.pdf

COINVENT: Towards a Computational Concept Invention Theory

http://digital.csic.es/bitstream/10261/161339/1/AI256%282018%29105%e2%80%93129.pdf

Marco Schorlemmer

Papers

Ontology mapping: the state of the art

Ontology Mapping: The State of the Art

IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory

COINVENT: Towards a Computational Concept Invention Theory

A computational framework for conceptual blending