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Web Age Information Management

pervasive computing, data management on new hardware, data mining, data provenance and workflow, data warehousing and OLAP, deep web, digital;

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Web-Age Information Management

Management and Mining for the Web (SDMMW 2016) * The International Workshop on Semi-structured Big Data Management and Applications;

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Advances in Data and Web Management

Conference on Web-Age Information Management, WAIM 2007, held in Huang Shan, China, June 2007. Coverage includes data mining and knowledge discovery;

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Emerging Technologies and Applications in Data Processing and Management

Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web;

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Web and Big Data APWeb WAIM 2020 International Workshops

International Joint Conference on Web and Big Data, APWeb-WAIM 2020: The Third International Workshop on Knowledge Graph Management and Applications;

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Web Data Management

foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics;

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Internet Computing and Big Data

serves researchers, scholars, professionals, students, and academicians. Selected topics include: Big Data: Data Management And Storage;

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Web Technologies and Applications

is to promote the new research directions and applications, especially on web data, graph data, and spatial-temporal data management and;

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Web and Big Data: APWeb-WAIM 2017 International Workshops

tools from all aspects of web data management with the focus on mobile web data analytics; big spatial data and urban computing; graph data;

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Recent Progress in Data Engineering and Internet Technology

The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management;

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Web Community

efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques. Web;

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Principles of Data Management

knowledge and techniques required to successfully implement the data management function. This new edition covers web technology and its relation to;

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Data Management and Query Processing in Semantic Web Databases

key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and;

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Data Security, Data Mining & Data Management

In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include;

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Web-Age Information Management

temporal databases, recommender systems, graph data management, information retrieval, privacy and trust, query processing and optimization, social;

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Web-Age Information Management

temporal databases, recommender systems, graph data management, information retrieval, privacy and trust, query processing and optimization, social;

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Web-Age Information Management: WAIM 2013 International Workshops

This book constitutes the refereed proceedings of six workshops of the 14th International Conference on Web-Age Information Management;

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The Semantic Web

are included, selected out of 14 submissions. The papers are organized in the following tracks: semantic data management, big data, and;

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Data Management in the Semantic Web

Effective and efficient data management is vital to today's applications. Traditional data management mainly focuses on information;

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Identification and Management of Distributed Data

of Distributed Data: NGN, Content-Centric Networks and the Web collates and describes the various distributed data management technologies to help;

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Identification and Management of Distributed Data

of Distributed Data: NGN, Content-Centric Networks and the Web collates and describes the various distributed data management technologies to help;

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Web Reasoning and Rule Systems

semantic web; querying web data; semantic data management; common-sense reasoning on the web;

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Web Content Mining from Hidden Web

World Wide Web is enormous compilation of multi- variant data. For better knowledge management it is important to retrieve accurate and;

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The Semantic Web

are included, selected out of 14 submissions. The papers are organized in the following tracks: semantic data management, big data, and;

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The Semantic Web

, research of research, ontologies and reasoning, linked data, natural language processing and information retrieval, semantic data management and;

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Reasoning Web. Semantic Interoperability on the Web

theme of the school was Semantic Interoperability on the Web , which encompasses subjects such as data integration, open data management;

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Database and Expert Systems Applications

management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust;

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