The Semantic Puzzle

Jana Herwig

Information Extraction in KiWi

The KiWi meeting is drawing to an end. Marek Schmidt and Pavel Smrz from Brno University of Technology have just given a really exciting presentation of their results in the area of information extractionInformation extraction (IE) is a type of information retrieval whose goal is to automatically extract structured information from unstructured machine-readable documents, generally human language texts by means of natural language processing (NLP). Due to the difficulty of the problem, current ... – and it seems I have developed a case of tendonitis (a.k.a. “mouse hand”) and for the sake of my health will stop blogging for today. Instead of the usual comprehensive coverage, this photo must suffice as a proof of the magic Marek and Pavel’s system is already able to do – please marvel the complex tags that are the product of their information extraction (IE) module. The roles of IE as an enabling technology within KiWiEU-funded project combining the wiki philosophy with methods of the Semantic Web, aiming to develop a new approach to knowledge management. (http://www.kiwi-project.eu/index.php/about) will be in: automatic recognition of (new) terms, entity recognition, text classification and relation extraction.

Information extraction

KiWi team! In particular Klara Weiand who is about to start her presentation on Tags and Queries, please accept my apology! Thank you, good bye, and have a save trip home!

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