This paper is published in Volume-4, Issue-2, 2018
Area
Knowledge Representation
Author
Shruti Zade, Lifna C. S, Padmaja Kolle, Snehal Bhagat, Bhavik Dand
Org/Univ
Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra, India
Keywords
Ontology, Keyword extraction, Entropy, Domain analysis, Contextual search.
Citations
IEEE
Shruti Zade, Lifna C. S, Padmaja Kolle, Snehal Bhagat, Bhavik Dand. An ontological approach for keyword extraction, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shruti Zade, Lifna C. S, Padmaja Kolle, Snehal Bhagat, Bhavik Dand (2018). An ontological approach for keyword extraction. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Shruti Zade, Lifna C. S, Padmaja Kolle, Snehal Bhagat, Bhavik Dand. "An ontological approach for keyword extraction." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Shruti Zade, Lifna C. S, Padmaja Kolle, Snehal Bhagat, Bhavik Dand. An ontological approach for keyword extraction, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shruti Zade, Lifna C. S, Padmaja Kolle, Snehal Bhagat, Bhavik Dand (2018). An ontological approach for keyword extraction. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Shruti Zade, Lifna C. S, Padmaja Kolle, Snehal Bhagat, Bhavik Dand. "An ontological approach for keyword extraction." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Abstract
Many applications such as Text Summarization, Semantic Web, Search Engine Optimization, Sentiment Analysis, and such others make use of Document Classification as a key component in their realization. In order to aid the process of Document Classification, many of these applications rely on extracting domain specific keywords. The existing techniques used are pure NLP and extraction based on only term-document frequency. However, these do not always guarantee accurate results. In our paper, we present an ontological approach to extraction of keywords which will give more precise results as they are based on the context of the search. This is done by creating domain-specific ontologies and using them to extract keywords present in the user’s document.