Open AccessBootstrapping location relations from text
Author(s) -
Zheng Wu,
Blake Catherine
Publication year - 2010
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14504701114
Subject(s) - bootstrapping (finance) , computer science , syntax , relation (database) , ontology , sentence , process (computing) , natural language processing , information retrieval , term (time) , artificial intelligence , data mining , programming language , mathematics , epistemology , econometrics , philosophy , physics , quantum mechanics
Ontologies play a critical role in information organization and can be used for a range of applications from information retrieval to knowledge discovery. However, manual ontology construction is extremely labor intensive. This paper describes a bootstrapping algorithm that, when provided with a seed term, automatically induces relations from text. We describe a series of experiments that explore the role of sentence syntax during the bootstrapping process and demonstrate the feasibility of this approach by identifying a primitive instance‐level relation – the location relation, which is of interest because locations are described in multiple genres, such as in the news, novels and scientific articles. Our results suggest that syntax plays a critical role in identifying location relations.