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Validating RDF Data

RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad;

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Modeling and Management of Fuzzy Semantic RDF Data

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data;

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Practical RDF

. RDF provides a consistent framework and syntax for describing and querying data, making it possible to share website descriptions more easily;

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Cloud-Based RDF Data Management

Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: flexible structure;

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Cloud-Based RDF Data Management

Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: flexible structure;

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Cloud-Based RDF Data Management

Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: flexible structure;

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Data Integration on the (Semantic) Web with Rules and Rich Unification

The Web is continuously being transformed from a web primarily aimed at human consumption to a web of data which will allow autonomous;

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RDF Database Systems

applications, data models, indexing and query processing solutions.Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context;

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Learning SPARQL

add to, update, and delete data in RDF datasets, and give web applications access to this data. Updated to reflect SPARQL 1.1. Recommendation;

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Visualizing RDF Data on a Handheld

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Linked Data

. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers;

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Validating Clinical Trial Data Reporting with SAS

This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage;

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The Web of Data

where such concepts are already being employed. Resource Description Framework (RDF) describes the graph-structured data model proposed by the;

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Data Management and Query Processing in Semantic Web Databases

RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence;

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Linked Open Data Creating Knowledge Out of Interlinked Data

in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3;

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Big Data Analytics and Knowledge Discovery

from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems;

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Mastering Structured Data on the Semantic Web

. You will see how to store and manipulate RDF data in purpose-built graph databases such as triplestores and quadstores, that are exploited;

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Web Age Information Management

libraries, entity resolution and entity linking and graph data management and RDF.;

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Database Systems for Advanced Applications

data; RDF and knowledge graphs; text and data mining; medical data mining; security and privacy; search and information retrieval; query;

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Database Systems for Advanced Applications

data; RDF and knowledge graphs; text and data mining; medical data mining; security and privacy; search and information retrieval; query;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Database and Expert Systems Applications

Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and;

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Semantic Web for the Working Ontologist

information to be distributed over the Web, along with the use of SPARQL to access RDF data. Moreover, the reader is introduced to components that;

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Semantic Technology

in Singapore, Singapore, in November 2016. The main topics of JIST 2016 include among others ontology and reasoning; linked data; knowledge graph. The;

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Validating the social media strategies of adidas and Nike on Facebook and Instagram

Validating the Social Media Strategies of Adidas and Nike on Facebook and Instagram;...

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Data Management on New Hardware

OLTP, data warehousing/OLAP, ETL streaming/real-time, business analytics, and XMLRDF processing) running memory-only environments, using;

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Semantic Technology

into eight categories: ontology and reasoning, linked data, learning and discovery, rdf and sparql, ontological engineering, semantic social;

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