Matches in ScholarlyData for { ?s ?p In this work we introduce ``context-driven semantic enrichment'', aiming at annotating textual expressions with the metadata that are semantically relevant for the specific context in which such expressions occur. The great benefit is that context-dependent information (e.g., occupations of people changing during the time) will be enriched with the appropriate semantic tags according to the different contexts. Context-driven semantic enrichment builds upon three core tasks: automated extraction of named entities (i.e., people, locations and organizations) from text; semantic integration techniques for organizing the background knowledge by means of ontologies populated with the extracted named entities; individuation of the mapping between entities found in text and their ontological counterparts using contextual constraints derived from text (e.g., temporal, geographic and thematic constraints). The approach has been fully implemented in a system, which has been practically deployed and applied to the textual archive of the local Italian newspaper ``L'Adige'', covering the decade of years from 1999 to 2009.. }
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- 40 abstract "In this work we introduce ``context-driven semantic enrichment'', aiming at annotating textual expressions with the metadata that are semantically relevant for the specific context in which such expressions occur. The great benefit is that context-dependent information (e.g., occupations of people changing during the time) will be enriched with the appropriate semantic tags according to the different contexts. Context-driven semantic enrichment builds upon three core tasks: automated extraction of named entities (i.e., people, locations and organizations) from text; semantic integration techniques for organizing the background knowledge by means of ontologies populated with the extracted named entities; individuation of the mapping between entities found in text and their ontological counterparts using contextual constraints derived from text (e.g., temporal, geographic and thematic constraints). The approach has been fully implemented in a system, which has been practically deployed and applied to the textual archive of the local Italian newspaper ``L'Adige'', covering the decade of years from 1999 to 2009.".