{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T04:23:17Z","timestamp":1741666997499,"version":"3.38.0"},"reference-count":28,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["KES"],"published-print":{"date-parts":[[2021,4,9]]},"abstract":"<jats:p>Extraction of knowledge data from knowledge database using natural language query is a difficult task. Different types of natural language processing (NLP) techniques have been developed to handle this knowledge data extraction task. This paper proposes an automated query-response model termed Extended Automated Knowledge Provider System (EAKPS) that can manage various types of natural language queries from user. The EAKPS uses combination based technique and it can handle assertive, interrogative, imperative, compound and complex type query sentences. The algorithm of EAKPS generates structure query language (SQL) for each natural language query to extract knowledge data from the knowledge database resident within the EAKPS. Extraction of noun or noun phrases is another issue in natural language query processing. Most of the times, determiner, preposition and conjunction are prefixed to a noun or noun phrase and it is difficult to identify the noun\/noun phrase with prefix during query processing. The proposed system is able to identify these prefixes and extract exact noun or noun phrases from natural language queries without any manual intervention.<\/jats:p>","DOI":"10.3233\/kes-210049","type":"journal-article","created":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T16:17:23Z","timestamp":1617985043000},"page":"1-19","source":"Crossref","is-referenced-by-count":1,"title":["Natural language query handling using extended knowledge provider system"],"prefix":"10.1177","volume":"25","author":[{"given":"Prasenjit","family":"Mukherjee","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India"}]},{"given":"Atanu","family":"Chattopadhyay","sequence":"additional","affiliation":[{"name":"Department of BCA (H), Deshabandhu Mahavidyalaya, Chittaranjan, India"}]},{"given":"Baisakhi","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India"}]},{"given":"Debashis","family":"Nandi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India"}]}],"member":"179","reference":[{"key":"10.3233\/KES-210049_ref1","first-page":"1","article-title":"Querying database using a universal natural language interface based on machine learning","author":"Bais","year":"2016","journal-title":"International Conference on Information Technology for Organizations Development (IT4OD)"},{"key":"10.3233\/KES-210049_ref2","first-page":"73","article-title":"Generic model for natural language interface to database","author":"Sujatha","year":"2016","journal-title":"2016 IEEE 6th International Conference on Advanced Computing"},{"key":"10.3233\/KES-210049_ref3","unstructured":"C. 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Polignano, A comparison of lexicon based approaches for sentiment analysis of micro blog posts, 8th International Workshop on Information Filtering and Retrieval (2014)."},{"key":"10.3233\/KES-210049_ref4","first-page":"1","article-title":"Sentiment analysis in a cross-media analysis framework","author":"Woldemariam","year":"2016","journal-title":"2016 IEEE International Conference on Big Data Analysis (ICBDA)"},{"key":"10.3233\/KES-210049_ref5","first-page":"1","article-title":"Syntactic text analysis without a dictionary","author":"Bessmertny","year":"2016","journal-title":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)"},{"key":"10.3233\/KES-210049_ref6","first-page":"1","article-title":"Shallow syntactic analysis of Chinese texts","author":"Chuqiao","year":"2017","journal-title":"3rd IEEE International Conference on Computational Intelligence and Communication Technology (IEEE-CICT 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Stein, Introduction to Algorithms, Third Edition, ISBN: 978-0-262-03384-8, MIT Press, USA, (2009), 451\u2013465."}],"container-title":["International Journal of Knowledge-based and Intelligent Engineering Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/KES-210049","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T16:18:54Z","timestamp":1741623534000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/KES-210049"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,9]]},"references-count":28,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.3233\/kes-210049","relation":{},"ISSN":["1327-2314","1875-8827"],"issn-type":[{"type":"print","value":"1327-2314"},{"type":"electronic","value":"1875-8827"}],"subject":[],"published":{"date-parts":[[2021,4,9]]}}}