From Text to Knowledge for the Semantic Web: the ONTOTEXT Project.
Bernardo Magnini, Matteo Negri, Emanuele Pianta, Lorenza Romano, Manuela Speranza, Luciano Serafini, Christian Girardi, Valentina Bartalesi, Rachele Sprugnoli · 2005
This paper presents the general objectives of the ONTOTEXT project (From Text to Knowledge for the Semantic Web), and the activities carried out during the first year of its development cycle. First, the task of annotating huge amounts of textual data (e.g. those available on the Web or in local document collections) will be introduced, focusing on its importance in order to enhance the interoperability of such data through ontology-based reasoning. Then, the main issues related to the annotation task will be discussed. These include the choice of an adequate formalism to capture and describe different types of relevant information contained in a text, and the adaptation of existing languagespecific markup formalisms to a new language (Italian in our case). Finally, the results of our experience in the concrete annotation of information about people and temporal expressions for the Italian Content Annotation Bank (I-CAB) being developed at ITC-irst and CELCT will be reported.