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The knowledge base investigated in this paper is represented by a model known as Markov Logic Networks. The authors' proposed method first analyzes the unlabeled target domain data and actively asks the expert to provide labels (or answers) a very small amount of automatically selected queries. The idea is to identify the target domain queries whose underlying relations are not sufficiently described by the existing source domain knowledge base. Potential relational patterns are discovered and new logic relations are constructed for the target domain by exploiting the limited amount of labeled target domain data and the unlabeled target domain data. The authors have conducted extensive experiments by applying our approach to two different text mining applications, namely, pronoun resolution and segmentation of citation records, demonstrating consistent improvements.<\/p>","DOI":"10.4018\/ijkbo.2014040101","type":"journal-article","created":{"date-parts":[[2014,9,24]],"date-time":"2014-09-24T15:47:39Z","timestamp":1411573659000},"page":"1-19","source":"Crossref","is-referenced-by-count":2,"title":["Knowledge Base Refinement Using Limited Amount of Efforts from Experts"],"prefix":"10.4018","volume":"4","author":[{"given":"Ki","family":"Chan","sequence":"first","affiliation":[{"name":"Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China"}]},{"given":"Wai","family":"Lam","sequence":"additional","affiliation":[{"name":"Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China"}]},{"given":"Tak-Lam","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Information Technology, The Hong Kong Institute of Education, Hong Kong, China"}]}],"member":"2432","reference":[{"key":"ijkbo.2014040101-0","first-page":"33","article-title":"Bootstrapping path-based pronoun resolution.","author":"S.Bergsma","year":"2006","journal-title":"Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics"},{"key":"ijkbo.2014040101-1","doi-asserted-by":"publisher","DOI":"10.3115\/1610075.1610094"},{"key":"ijkbo.2014040101-2","article-title":"Logic relation refinement using unlabeled data.","author":"K.Chan","year":"2010","journal-title":"Proceedings of the 2010 International Conference of Computational Intelligence and Intelligent Systems"},{"key":"ijkbo.2014040101-3","doi-asserted-by":"publisher","DOI":"10.1504\/IJIDS.2009.027756"},{"key":"ijkbo.2014040101-4","doi-asserted-by":"publisher","DOI":"10.3115\/1609067.1609083"},{"key":"ijkbo.2014040101-5","first-page":"285","article-title":"Adaptation of maximum entropy capitalizer: Little data can help a lot.","author":"C.Chelba","year":"2004","journal-title":"Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing"},{"key":"ijkbo.2014040101-6","doi-asserted-by":"publisher","DOI":"10.3115\/1706543.1706559"},{"key":"ijkbo.2014040101-7","first-page":"256","article-title":"Frustratingly easy domain adaptation.","author":"H.Daum\u00e9","year":"2007","journal-title":"Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics"},{"issue":"1","key":"ijkbo.2014040101-8","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1613\/jair.1872","article-title":"Domain adaptation for statistical classifiers.","volume":"26","author":"H.Daum\u00e9","year":"2006","journal-title":"Journal of Artificial Intelligence Research"},{"key":"ijkbo.2014040101-9","first-page":"217","article-title":"Deep transfer via second-order Markov logic.","author":"J.Davis","year":"2008","journal-title":"Proceedings of the 23rd AAAI Conference on Artificial Intelligence"},{"key":"ijkbo.2014040101-10","first-page":"837","article-title":"The automatic content extraction (ACE) program\u2013tasks, data, and evaluation.","author":"G.Doddington","year":"2004","journal-title":"Proceedings of the 4th International Conference on Language Resources and Evaluation"},{"key":"ijkbo.2014040101-11","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219885"},{"key":"ijkbo.2014040101-12"},{"key":"ijkbo.2014040101-13"},{"key":"ijkbo.2014040101-14","doi-asserted-by":"crossref","unstructured":"Hovy, E., Marcus, M., Palmer, M., Ramshaw, L., & Weischedel, R. 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