Automatic Ontology Extraction from Heterogeneous Documents for E-Learning Applications

Autor:	C. R. Rene Robin, J. Jeslin Shanthamalar
Rok vydání:	2014
Předmět:	Information retrieval Computer science Process (engineering) business.industry E-learning (theory) Ontology-based data integration Ontology (information science) computer.software_genre Domain (software engineering) Information extraction Distributed knowledge Knowledge base business computer
Zdroj:	Intelligent Computing, Networking, and Informatics ISBN: 9788132216643 ICACNI
DOI:	10.1007/978-81-322-1665-0_66
Popis:	In this paper, we present our approach to build domain ontology for e-learning purposes from heterogeneous documents by using the automatic extraction technique. Ontologies have been frequently employed in order to solve problems for shared distributed knowledge and the effective integration of information across many applications. The process of ontology building is a very lengthy and error-prone work. Therefore, a number of research studies to build ontologies semi-automatically from existing documents have been developed. This paper proposes a novel method which is used to build ontology, using the existing knowledge base of heterogeneous documents for complex application domains without the need of human intervention. This method improves the system performance and accuracy and reduces the time for the ontology building process from a collection of documents.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bc91bb87f521f128f6377433569d8201 https://doi.org/10.1007/978-81-322-1665-0_66 Zobrazit plný text záznamu