ONTOLOGY EXTRACTION FOR AGRICULTURE DOMAIN IN MARATHI LANGUAGE USING NLP TECHNIQUES
Journal Title: ICTACT Journal on Soft Computing - Year 2016, Vol 7, Issue 1
Abstract
Ontology is defined as shared specification of conceptual vocabulary used for formulating knowledge-level theories about a domain of discourse. Dataset is created by manually collecting information about different diseases related to crops. Ontology modeling is used for knowledge representation of various domains. India is an agricultural based economic country. Majority of Indian population relies on farming but the technologies are sparsely used for the aid of farmers. Ontology based modeling for agricultural knowledge can change this scenario. The farmers can understand it easily in their native language. We proposed a system which will model and extract knowledge in Marathi language. In this paper, we review various existing agriculture ontology’s along with some of Natural Language Processing (NLP) models. Model ontology for agriculture domain system aims to retrieve relevant answers to the farmer’s query. We explored Rule-Based and Conditional Random Fields based models for Ontology extraction. The extraction methods and preprocessing phases of proposed system is discussed.
Authors and Affiliations
Prachi Dalvi, Varsha Mandave, Madhu Gothkhindi, Ankita Patil, Kadam S, Soudamini Pawar
Keywords
Related Articles
- EP ID EP199118
- DOI 10.21917/ijsc.2016.0188
- Views 117
- Downloads 0
RICH SEMANTIC SENTIMENT ANALYSIS USING LEXICON BASED APPROACH
Web is a huge repository of information, and a massive amount of data is generated everyday on online platforms. Information, can be facts and opinions, facts are objective statements about an event, and opinions are sub...
A HIGH QUALITY EMBEDDED SYSTEM FOR ASSESSING FOOD QUALITY USING HISTOGRAM OF ORIENTED GRADIENTS
A low cost high quality system for accessing quality of food samples by finding the presence of fungus is proposed. Most of the food items kept for long intervals will have fungal infection in them. The proposed system u...
PRIVACY PRESERVING DATA MINING USING THRESHOLD BASED FUZZY C-MEANS CLUSTERING
Privacy preserving is critical in the field of where data mining is transformed into cooperative task among individuals. In data mining, clustering algorithms are most skilled and frequently used frameworks. In this pape...
PRESENTING SEARCH RESULT WITH REDUCED UNWANTED WEB ADDRESSES USING FUZZY BASED APPROACH
Big Data is now the most talked about research subject. Over the year with the internet and storage space expansions vast swaths of data are available for would be searcher. About a decade ago when a content was searched...
ENSEMBLE CLASSIFICATION BASED MICROARRAY GENE RETRIEVAL SYSTEM
Data mining plays an important role in the process of classifying between the normal and the cancerous samples by utilizing microarray gene data. As this classification process is related to the human lives, greater sens...