Building Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents

TL;DR

This paper introduces TyDI, a tool for building lexicalized ontologies from text, demonstrated through a biotechnology patent indexing use case, to enhance semantic search capabilities.

Contribution

The paper presents TyDI, a novel tool that facilitates collaborative construction of termino-ontologies from text for improved domain-specific indexing.

Findings

TyDI effectively supports knowledge validation and organization.

The biotechnology patent use case demonstrates TyDI's practical utility.

The tool enhances semantic search through fine-grained indexing.

Abstract

This paper presents a tool, TyDI, and methods experimented in the building of a termino-ontology, i.e. a lexicalized ontology aimed at fine-grained indexation for semantic search applications. TyDI provides facilities for knowledge engineers and domain experts to efficiently collaborate to validate, organize and conceptualize corpus extracted terms. A use case on biotechnology patent search demonstrates TyDI's potential.