In this paper we present a collection of semantically-encoded biographies of authors who were born in former colony countries from 1945. The data set relies on an ontology that represents the life of an author through the two key concepts of migration from birth place and legal status in a country, both modeled on two Ontology Design Patterns: Time Indexed Person Status and Basic Execution Plan. Together with the resource, we describe a pipeline to convert the textual biographies of the authors gathered from Wikipedia into the roles experienced by them in migrations. The pipeline includes modules for linguistic preprocessing and named entity recognition, and an entity linking step relying on Wikipedia and Wikidata APIs to link places and organizations to their respective countries. A set of lexico-semantic patterns based on verb classes from the Unified Verb Index has been developed in order to extract migration-related knowledge from unseen text biographies.
Mapping Biographical events to ODPs through Lexico-Semantic Patterns?
Stranisci M. A.
First
;Basile V.;Damiano R.;Patti V.
2021-01-01
Abstract
In this paper we present a collection of semantically-encoded biographies of authors who were born in former colony countries from 1945. The data set relies on an ontology that represents the life of an author through the two key concepts of migration from birth place and legal status in a country, both modeled on two Ontology Design Patterns: Time Indexed Person Status and Basic Execution Plan. Together with the resource, we describe a pipeline to convert the textual biographies of the authors gathered from Wikipedia into the roles experienced by them in migrations. The pipeline includes modules for linguistic preprocessing and named entity recognition, and an entity linking step relying on Wikipedia and Wikidata APIs to link places and organizations to their respective countries. A set of lexico-semantic patterns based on verb classes from the Unified Verb Index has been developed in order to extract migration-related knowledge from unseen text biographies.File | Dimensione | Formato | |
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