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Expert System S.p.A.

Expert System S.p.A. Patent applications
Patent application numberTitlePublished
20110145250METHOD AND SYSTEM FOR AUTOMATICALLY IDENTIFYING RELATED CONTENT TO AN ELECTRONIC TEXT - The exemplary embodiments provide methods and systems for automatically identifying content related to an electronic text. Aspects of exemplary embodiments include linking topic categories, psychological states, demographic profiles, and additional content using one or more databases; in response to receiving content of an electronic text, analyzing by a software component executing on a computer the content and assigning one or more of topic categories to the content; automatically identifying at least one the psychological states of a user caused by the content and the demographic profiles whose members would be interested in the content that are linked to the one or more topic categories assigned to the content; and presenting a portion of the additional content that is linked to at least one of the identified demographic profiles and the psychological states.06-16-2011
20080275694METHOD AND SYSTEM FOR AUTOMATICALLY EXTRACTING RELATIONS BETWEEN CONCEPTS INCLUDED IN TEXT - A method and system for automatically extracting relations between concepts included in electronic text is described. Aspects the exemplary embodiment include a semantic network comprising a plurality of lemmas that are grouped into synsets representing concepts, each of the synsets having a corresponding sense, and a plurality of links connected between the synsets that represent semantic relations between the synsets. The semantic network further includes semantic information comprising at least one of: 1) an expanded set of semantic relation links representing: hierarchical semantic relations, synset/corpus semantic relations verb/subject semantic relations, verb/direct object semantic relations, and fine grain/coarse grain semantic relationship; 2) a hierarchical category tree having a plurality of categories, wherein each of the categories contains a group of one or more synsets and a set of attributes, wherein the set of attributes of each of the categories are associated with each of the synsets in the respective category; and 3) a plurality of domains, wherein one or more of the domains is associated with at least a portion of the synsets, wherein each domain adds information regarding a linguistic context in which the corresponding synset is used in a language. A linguistic engine uses the semantic network to performing semantic disambiguation on the electronic text using one or more of the expanded set of semantic relation links, the hierarchical category tree, and the plurality of domains to assign a respective one of the senses to elements in the electronic text independently from contextual reference.11-06-2008