Publication

Workshop on Semantic Data Management: A Summary Report

Karl Aberer
2010
Journal Articles

Abstract

The International Workshop on Semantic Data Management (SemData) was held in Singapore co-located with the VLDB Conference 2010, with the goal of serving as a platform for the discussion and investigation of various aspects related to semantic databases and data management in the large. The workshop was a full-day event featuring two research sessions, one industry session and a panel discussion, and attracted over 25 attendees. This report summarizes the key topics presented, interesting ideas discussed and the new perspectives identified during the workshop.(1)

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https://infoscience.epfl.ch/entities/publication/e86de1d7-3d77-44c9-b7ea-bdb2298f244d

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Karl Aberer
2010
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/e86de1d7-3d77-44c9-b7ea-bdb2298f244d

About this result

Related concepts (10)

Semantic Web

The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL) are used. These technologies are used to formally represent metadata. For example, ontology can describe concepts, relationships between entities, and categories of things.

Semantic integration

Semantic integration is the process of interrelating information from diverse sources, for example calendars and to do lists, email archives, presence information (physical, psychological, and social), documents of all sorts, contacts (including social graphs), search results, and advertising and marketing relevance derived from them. In this regard, semantics focuses on the organization of and action upon information by acting as an intermediary between heterogeneous data sources, which may conflict not only by structure but also context or value.

Master data management

Master data management (MDM) is a technology-enabled discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. Organisations, or groups of organisations, may establish the need for master data management when they hold more than one copy of data about a business entity. Holding more than one copy of this master data inherently means that there is an inefficiency in maintaining a "single version of the truth" across all copies.

Related publications (1)

Workshop on Semantic Data Management: A Summary Report

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