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Structured Search for Big Data

Structured Search for Big Data PDF Author: Mikhail Gilula
Publisher: Morgan Kaufmann
ISBN: 012804652X
Category : Computers
Languages : en
Pages : 114

Book Description
The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

Structured Search for Big Data

Structured Search for Big Data PDF Author: Mikhail Gilula
Publisher: Morgan Kaufmann
ISBN: 012804652X
Category : Computers
Languages : en
Pages : 114

Book Description
The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

Adaptable Similarity Search in 3-D Spatial Database Systems

Adaptable Similarity Search in 3-D Spatial Database Systems PDF Author: Thomas Seidl
Publisher: Herbert Utz Verlag
ISBN: 9783896753274
Category :
Languages : en
Pages : 334

Book Description


Intelligent Search on XML Data

Intelligent Search on XML Data PDF Author: Henk M. Blanken
Publisher: Springer Science & Business Media
ISBN: 3540407685
Category : Business & Economics
Languages : en
Pages : 319

Book Description
Recently, we have seen a steep increase in the popularity and adoption of XML, in areas such as traditional databases, e-business, the scientific environment, and on the web. Querying XML documents and data efficiently is a challenging issue; this book approaches search on XML data by combining content-based methods from information retrieval and structure-based XML query methods and presents the following parts: applications, query languages, retrieval models, implementing intelligent XML systems, and evaluation. To appreciate the book, basic knowledge of traditional database technology, information retrieval, and XML is needed. The book is ideally suited for courses or seminars at the graduate level as well as for education of research and development professionals working on Web applications, digital libraries, database systems, and information retrieval.

Semantic Keyword-Based Search on Structured Data Sources

Semantic Keyword-Based Search on Structured Data Sources PDF Author: Julian Szymański
Publisher: Springer
ISBN: 3319744976
Category : Computers
Languages : en
Pages : 261

Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the Third COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017, held in Gdańsk, Poland, in September 2017. The 13 revised full papers and 5 short papers included in the first part of the book were carefully reviewed and selected from numerous submissions. The second part contains reports that summarize the major activities and achievements that have taken place in the context of the action: the short term scientific missions, the outcome of the summer schools, and the results achieved within the following four work packages: representation of structured data sources; keyword search; user interaction and keyword query interpretation; and research integration, showcases, benchmarks and evaluations. Also included is a short report generated by the chairs of the action. The papers cover a broad range of topics in the area of keyword search combining expertise from many different related fields such as information retrieval, natural language processing, ontology management, indexing, semantic web and linked data.

Semantic Keyword-based Search on Structured Data Sources

Semantic Keyword-based Search on Structured Data Sources PDF Author: Jorge Cardoso
Publisher: Springer
ISBN: 3319279327
Category : Computers
Languages : en
Pages : 209

Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.

Ranking for Web Data Search Using On-The-Fly Data Integration

Ranking for Web Data Search Using On-The-Fly Data Integration PDF Author: Herzig, Daniel Markus
Publisher: KIT Scientific Publishing
ISBN: 3731501368
Category :
Languages : en
Pages : 218

Book Description


Search for Data

Search for Data PDF Author:
Publisher:
ISBN:
Category : Geospatial data
Languages : en
Pages : 2

Book Description


Semantic Keyword-Based Search on Structured Data Sources

Semantic Keyword-Based Search on Structured Data Sources PDF Author: Andrea Calì
Publisher: Springer
ISBN: 3319536400
Category : Computers
Languages : en
Pages : 197

Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised full papers and 2 invited papers are reviewed and selected from 18 initial submissions and cover the areas of keyword extraction, natural language searches, graph databases, information retrieval techniques for keyword search and document retrieval.

Data Analysis, Classification and the Forward Search

Data Analysis, Classification and the Forward Search PDF Author: Sergio Zani
Publisher: Springer Science & Business Media
ISBN: 3540359788
Category : Language Arts & Disciplines
Languages : en
Pages : 420

Book Description
This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The volume offers contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers provide significant insight in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.

Exploring Multivariate Data with the Forward Search

Exploring Multivariate Data with the Forward Search PDF Author: Anthony C. Atkinson
Publisher: Springer Science & Business Media
ISBN: 0387218408
Category : Mathematics
Languages : en
Pages : 642

Book Description
This book is concerned with data in which the observations are independent and in which the response is multivariate. Companion book to Robust Diagnostic Regression Analysis (ISBN 0-387-95017) published by Springer in 2000.