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To minimize manual intervention in entity resolution, this article proposes entity resolution based on co-occurrence graph and continuous learning, thereby eliminating the bottleneck of manual concept entry. While traditional Supervised Learning methods require sufficient training data beforehand which is not available in a community setting at start, Continuous Learning method could be useful which can acquire new behaviours and can evolve as the community data evolves.<\/p>","DOI":"10.4018\/ijwp.2018010103","type":"journal-article","created":{"date-parts":[[2018,1,29]],"date-time":"2018-01-29T17:26:39Z","timestamp":1517246799000},"page":"27-38","source":"Crossref","is-referenced-by-count":0,"title":["Concept Identification Using Co-Occurrence Graph"],"prefix":"10.4018","volume":"10","author":[{"given":"Anoop Kumar","family":"Pandey","sequence":"first","affiliation":[{"name":"Centre for Development of Advanced Computing, Bangalore, India"}]}],"member":"2432","reference":[{"key":"IJWP.2018010103-0","first-page":"2670","volume":"7","author":"M.Banko","year":"2007","journal-title":"IJCAI"},{"key":"IJWP.2018010103-1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2006.55"},{"key":"IJWP.2018010103-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2014.10.006"},{"key":"IJWP.2018010103-3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRev.106.620"},{"key":"IJWP.2018010103-4","unstructured":"Lafferty, J., McCallum, A., & Pereira, F. 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