Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources

Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources PDF Author: Domenico Ursino
Publisher: Springer
ISBN: 3540707352
Category : Computers
Languages : en
Pages : 292

Get Book Here

Book Description
The problem of integrating multiple information sources into a uni?ed data store is currently one of the most important challenges in data management. Within the ?eld of source integration, the problem of automatically gen- ating an integrated description of the data sources is surely one of the most relevant. The signi?cance of the issue can be best understood if one c- siders the huge number of information sources that an organization has to integrate. Indeed, it is even impossible to try to do all the work by hand. Like other important issues in data management, the problem of integrating multiple data sources into a unique global system has several facets, each of which represents, “per se”, an interesting research problem, and comprises, for instance, that of recognizing, at the intensional level, similarities and dissimilarities among scheme objects, that of resolving representation m- matches among schemes, and that of deciding how to obtain an integrated data store out of a set of input sources and of a semantic description of their contents. The research and application relevance of such issues has attracted wide interest in the database community in recent years. And, as a con- quence, several techniques have been presented in the literature attacking one side or another of this complex and multifarious problem.

Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources

Extraction and Exploitation of Intensional Knowledge from Heterogeneous Information Sources PDF Author: Domenico Ursino
Publisher: Springer
ISBN: 3540707352
Category : Computers
Languages : en
Pages : 292

Get Book Here

Book Description
The problem of integrating multiple information sources into a uni?ed data store is currently one of the most important challenges in data management. Within the ?eld of source integration, the problem of automatically gen- ating an integrated description of the data sources is surely one of the most relevant. The signi?cance of the issue can be best understood if one c- siders the huge number of information sources that an organization has to integrate. Indeed, it is even impossible to try to do all the work by hand. Like other important issues in data management, the problem of integrating multiple data sources into a unique global system has several facets, each of which represents, “per se”, an interesting research problem, and comprises, for instance, that of recognizing, at the intensional level, similarities and dissimilarities among scheme objects, that of resolving representation m- matches among schemes, and that of deciding how to obtain an integrated data store out of a set of input sources and of a semantic description of their contents. The research and application relevance of such issues has attracted wide interest in the database community in recent years. And, as a con- quence, several techniques have been presented in the literature attacking one side or another of this complex and multifarious problem.

Encyclopedia of Data Warehousing and Mining

Encyclopedia of Data Warehousing and Mining PDF Author: Wang, John
Publisher: IGI Global
ISBN: 1591405599
Category : Computers
Languages : en
Pages : 1382

Get Book Here

Book Description
Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.

Encyclopedia of Data Warehousing and Mining

Encyclopedia of Data Warehousing and Mining PDF Author: John Wang
Publisher: IGI Global
ISBN: 9781591405573
Category : Computers
Languages : en
Pages : 742

Get Book Here

Book Description
"Provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM)... consists of more than 350 contributors from 32 countries"--Publisher.

Sonata for flute or violin and piano, opus 94

Sonata for flute or violin and piano, opus 94 PDF Author: Sergey Prokofiev
Publisher:
ISBN:
Category : Sonatas (Flute and piano)
Languages : en
Pages : 794

Get Book Here

Book Description


Uncertainty Reasoning for the Semantic Web III

Uncertainty Reasoning for the Semantic Web III PDF Author: Fernando Bobillo
Publisher: Springer
ISBN: 3319134132
Category : Computers
Languages : en
Pages : 346

Get Book Here

Book Description
This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2011, 2012, and 2013. The 16 papers presented were carefully reviewed and selected from numerous submissions. The papers included in this volume are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.

Data Engineering and Management

Data Engineering and Management PDF Author: Rajkumar Kannan
Publisher: Springer
ISBN: 3642278728
Category : Computers
Languages : en
Pages : 352

Get Book Here

Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Data Engineering and Management, ICDEM 2010, held in Tiruchirappalli, India, in July 2010. The 46 revised full papers presented together with 1 keynote paper and 2 tutorial papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Digital Library; Knowledge and Mulsemedia; Data Management and Knowledge Extraction; Natural Language Processing; Workshop on Data Mining with Graphs and Matrices.

Critical Approaches to Information Retrieval Research

Critical Approaches to Information Retrieval Research PDF Author: Sarfraz, Muhammad
Publisher: IGI Global
ISBN: 1799810232
Category : Computers
Languages : en
Pages : 374

Get Book Here

Book Description
Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange. Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.

Association Rule Mining

Association Rule Mining PDF Author: Chengqi Zhang
Publisher: Lecture Notes in Artificial Intelligence
ISBN:
Category : Computers
Languages : en
Pages : 264

Get Book Here

Book Description
Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.

Model Checking Software

Model Checking Software PDF Author:
Publisher:
ISBN:
Category : Computer software
Languages : en
Pages : 284

Get Book Here

Book Description


Tools and Algorithms for the Construction and Analysis of Systems

Tools and Algorithms for the Construction and Analysis of Systems PDF Author:
Publisher:
ISBN:
Category : Computer software
Languages : en
Pages : 512

Get Book Here

Book Description