LIMES M/R: Parallelization of the LInk discovery framework for MEtric Spaces using the Map/Reduce paradigm

Stanley Hillner

AutorIn

Stanley Hillner

Titel

LIMES M/R: Parallelization of the LInk discovery framework for MEtric Spaces using the Map/Reduce paradigm

Zitierfähige Url:

https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-172280

Schriftenreihe

Abschluss- und Qualifikationsarbeiten aus der Fakultät für Mathematik und Informatik

Datum der Einreichung

16.03.2011

Abstract (EN)

The World Wide Web is the most important information space in the world. With the change of the web during the last decade, today’sWeb 2.0 offers everybody the possibility to easily publish information on the web. For instance, everyone can have his own blog, write Wikipedia articles, publish photos on Flickr or post status messages via Twitter. All these services on the web offer users all around the world the opportunity to interchange information and interconnect themselves with other users. However, the information, as it is usually published today, does not offer enough semantics to be machine-processable. As an example, Wikipedia articles are created using the lightweight Wiki markup language and then published as HyperText Markup Language (HTML) files whose semantics can easily be captured by humans, but not machines.

Freie Schlagwörter (EN)

Entity Matching, LIMES, Map/Reduce, Parallelization. Semantic Web

Klassifikation (DDC)

000

BetreuerIn Hochschule / Universität