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Ontotext

October 1st, 2004. Based on the philosophy of the Semantic Web, Ontotext. Exploits text processing and automatic reasoning technologies to extract knowledge from texts and organise it conceptually in an ontology. Unlike common search engines, the Ontotext Portal directly accesses the concepts and entities of the ontology and presents the user with structured information instead of mere portions of texts. For each entity, the Ontotext Portal offers four different views:. Enter the Ontotext Portal.

http://ontotext.fbk.eu/

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Ontotext | ontotext.fbk.eu Reviews
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October 1st, 2004. Based on the philosophy of the Semantic Web, Ontotext. Exploits text processing and automatic reasoning technologies to extract knowledge from texts and organise it conceptually in an ontology. Unlike common search engines, the Ontotext Portal directly accesses the concepts and entities of the ontology and presents the user with structured information instead of mere portions of texts. For each entity, the Ontotext Portal offers four different views:. Enter the Ontotext Portal.
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Ontotext | ontotext.fbk.eu Reviews

https://ontotext.fbk.eu

October 1st, 2004. Based on the philosophy of the Semantic Web, Ontotext. Exploits text processing and automatic reasoning technologies to extract knowledge from texts and organise it conceptually in an ontology. Unlike common search engines, the Ontotext Portal directly accesses the concepts and entities of the ontology and presents the user with structured information instead of mere portions of texts. For each entity, the Ontotext Portal offers four different views:. Enter the Ontotext Portal.

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ontotext.fbk.eu ontotext.fbk.eu
1

Ontotext

http://ontotext.fbk.eu/people.html

Valentina Bartalesi Lenzi (CELCT). Elena Cardillo (FBK-irst, Università della Calabria). Michal Pryczek (ISTI-cnr, University of Lodz, Poland). Last modified: Tue Aug 28 2007.

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Ontotext

http://ontotext.fbk.eu/resources-tools.html

Within the Ontotext project we have developed the following resources and tools:. A module for the automatic recognition of named entities, based on machine learning techniques (Support Vector Machines). It is available within the TextPro platform for the linguistic analysis of texts. An algorithm to decide with a certain degree of confidence wether two mentions refer to the same entity or not. A rule-based system for the automatic recognition and normalization of temporal expressions.

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Ontotext

http://ontotext.fbk.eu/portal.html

Enter the Ontotext Portal. Access is restricted to the partners of the project). The Ontotext Portal provides an integrated access to the information extracted automatically from the "Adige corpus" (Version A-500.000), which contains the news stories published by the newspaper "L'Adige" from 1999 to 2006. The corpus consists of almost 600,000 news stories, for a total of around 200 million tokens and 12 million phrases. Access to information consists of two separate phases. Last modified: Tue Aug 28 2007.

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Ontotext

http://ontotext.fbk.eu/events.html

DAL TESTO ALLA CONOSCENZA. Workshop on "Il ruolo delle nuove tecnologie per l'accessso all'informazione". Trento, December 2007. First Workshop on Evaluation of Natural Language Processing Tools for Italian, in conjunction with AI*IA 2007. Villa Mondragone, Monte Porzio Catone, Rome, September 10th 2007. Meeting of the ONTOTEXT Project. FBK-itst, Trento, March 14-15 2007. Last modified: Tue Aug 28 2007.

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Ontotext

http://ontotext.fbk.eu/index.html

October 1st, 2004. Based on the philosophy of the Semantic Web, Ontotext. Exploits text processing and automatic reasoning technologies to extract knowledge from texts and organise it conceptually in an ontology. Unlike common search engines, the Ontotext Portal directly accesses the concepts and entities of the ontology and presents the user with structured information instead of mere portions of texts. For each entity, the Ontotext Portal offers four different views:. Enter the Ontotext Portal.

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October 1st, 2004. Based on the philosophy of the Semantic Web, Ontotext. Exploits text processing and automatic reasoning technologies to extract knowledge from texts and organise it conceptually in an ontology. Unlike common search engines, the Ontotext Portal directly accesses the concepts and entities of the ontology and presents the user with structured information instead of mere portions of texts. For each entity, the Ontotext Portal offers four different views:. Enter the Ontotext Portal.

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