Semantic Analysis of Textual Input
Horacio Saggion, Thierry Declerck, Kalina Bontcheva · 2010
Text processing and natural language processing (NLP) techniques can be used to transform unstructured sources into structured representations suitable for analysis. This chapter describes a number of processing resources (PRs) which are general enough to start development of text-based business intelligence (BI) applications. Text analysis algorithms use ontologies in order to obtain a formal representation of and reason about their domain. Ontology-based information extraction (OBIE) has two main purposes: automatic document annotation and automatic ontology population. The chapter describes a number of processes usually applied in the field of information extraction (IE), illustrating them with the General Architecture for Text Engineering (GATE) system, an open platform implemented in Java used worldwide in various projects, including the business intelligence MUSING project. Controlled Vocabulary Terms business forecasting; business intelligence (BI)