Pathirana, Nadeesha and Seneviratne, Sandaru and Samarawickrama, Rangika and Wolff, Shane and Chitraranjan, Charith and Thayasivam, Uthayasanker and Ranasinghe, Tharindu (2019) Concept Discovery through Information Extraction in Restaurant Domain. Computación y Sistemas, 23 (3).
Full text not available from this repository.Abstract
Concept identification is a crucial step in understanding and building a knowledge base for any particular domain. However, it is not a simple task in very large domains such as restaurants and hotel. In this paper, a novel approach of identifying a concept hierarchy and classifying unseen words into identified concepts related to restaurant domain is presented. Sorting, identifying, classifying of domain-related words manually is tedious and therefore, the proposed process is automated to a great extent. Word embedding, hierarchical clustering, classification algorithms are effectively used to obtain concepts related to the restaurant domain. Further, this approach can also be extended to create a semi-automatic ontology on restaurant domain.