Extracting knowledge from Wikipedia has attracted much attention in recent ten years. One of the most valuable kinds of knowledge is type information, which refers to the axioms stating that an instance is of a certain type. Current approaches for inferring the types of instances from Wikipedia mainly rely on some language-specific rules. Since these rules cannot catch the semantic associations between instances and classes (i.e. candidate types), it may lead to mistakes and omissions in the process of type inference. The authors propose a new approach leveraging attributes to perform language-independent type inference of the instances from Wikipedia. The proposed approach is applied to the whole English and Chinese Wikipedia, which results in the first version of MulType (Multilingual Type Information), a knowledge base describing the types of instances from multilingual Wikipedia. Experimental results show that not only the proposed approach outperforms the state-of-the-art comparison methods, but also MulType contains lots of new and high-quality type information.<\/p>","DOI":"10.4018\/ijswis.2019040102","type":"journal-article","created":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T13:45:24Z","timestamp":1549460724000},"page":"22-46","source":"Crossref","is-referenced-by-count":4,"title":["Language-Independent Type Inference of the Instances from Multilingual Wikipedia"],"prefix":"10.4018","volume":"15","author":[{"given":"Tianxing","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}]},{"given":"Guilin","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}]},{"given":"Bin","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Southeast University, Nanjing, China"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany"}]},{"given":"Haofen","family":"Wang","sequence":"additional","affiliation":[{"name":"Gowild Inc., Shenzhen, China"}]}],"member":"2432","reference":[{"key":"IJSWIS.2019040102-0","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1075"},{"key":"IJSWIS.2019040102-1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72667-8_36"},{"key":"IJSWIS.2019040102-2","unstructured":"Berrueta, D., Phipps, J., Miles, A., Baker, T., & Swick, R. (2008). Best practice recipes for publishing rdf vocabularies (Working draft). W3C."},{"key":"IJSWIS.2019040102-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2009.07.002"},{"key":"IJSWIS.2019040102-4","first-page":"101","article-title":"Interval estimation for a binomial proportion.","author":"L. D.Brown","year":"2001","journal-title":"Statistical Science"},{"key":"IJSWIS.2019040102-5","doi-asserted-by":"crossref","unstructured":"De Melo, G., & Weikum, G. (2010). Menta: Inducing multilingual taxonomies from Wikipedia. In Proceedings of the 19th ACM International Conference on Information and Knowledge management (pp. 1099-1108). ACM.","DOI":"10.1145\/1871437.1871577"},{"key":"IJSWIS.2019040102-6","doi-asserted-by":"crossref","unstructured":"Del Corro, L., Abujabal, A., Gemulla, R., & Weikum, G. (2015). Finet: Context-aware fine-grained named entity typing. Paper presented at theProceedings of EMNLP. Association for Computational Linguistics.","DOI":"10.18653\/v1\/D15-1103"},{"key":"IJSWIS.2019040102-7","doi-asserted-by":"crossref","unstructured":"Ding, J., Ding, W., Hu, W., & Qu, Y. (2015). An ebmc-based approach to selecting types for entity filtering. Paper presented at theProceedings of AAAI (pp. 88-94).","DOI":"10.1609\/aaai.v29i1.9198"},{"key":"IJSWIS.2019040102-8","author":"D. R.Dowty","year":"1981","journal-title":"Introduction to Montague semantics"},{"key":"IJSWIS.2019040102-9","doi-asserted-by":"crossref","unstructured":"Fleischman, M., & Hovy, E. (2002). Fine grained classification of named entities. In Proceedings of the 19th International Conference on Computational linguistics (Vol. 1, pp. 1-7). Association for Computational Linguistics.","DOI":"10.3115\/1072228.1072358"},{"key":"IJSWIS.2019040102-10","doi-asserted-by":"publisher","DOI":"10.1037\/h0031619"},{"key":"IJSWIS.2019040102-11","doi-asserted-by":"crossref","unstructured":"Gangemi, A., Nuzzolese, A. G., Presutti, V., Draicchio, F., Musetti, A., & Ciancarini, P. (2012). Automatic typing of DBpedia entities. In Proceedings of the International Semantic Web Conference (pp. 65-81). Springer.","DOI":"10.1007\/978-3-642-35176-1_5"},{"key":"IJSWIS.2019040102-12","doi-asserted-by":"publisher","DOI":"10.3115\/992133.992154"},{"key":"IJSWIS.2019040102-13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87696-0_29"},{"key":"IJSWIS.2019040102-14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25093-4_10"},{"key":"IJSWIS.2019040102-15","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2014.11.001"},{"key":"IJSWIS.2019040102-16","doi-asserted-by":"crossref","unstructured":"Kliegr, T., & Zamazal, O. (2014). Towards linked hypernyms dataset 2.0: Complementing dbpedia with hypernym discovery and statistical type inference. In Proceedings of The Ninth International Conference on Language Resources and Evaluation.","DOI":"10.2139\/ssrn.3199181"},{"key":"IJSWIS.2019040102-17","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2016.05.001"},{"key":"IJSWIS.2019040102-18","unstructured":"Lee, T., Wang, Z., Wang, H., & Hwang, S.-w. (2013). Attribute extraction and scoring: a probabilistic approach. In 2013 IEEE 29th International Conference on Data Engineering (ICDE) (pp. 194-205). IEEE."},{"issue":"2","key":"IJSWIS.2019040102-19","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3233\/SW-140134","article-title":"DBpedia - a large-scale, multilingual knowledge base extracted from Wikipedia.","volume":"6","author":"J.Lehmann","year":"2015","journal-title":"Semantic Web"},{"key":"IJSWIS.2019040102-20","unstructured":"Lin, T., Mausam, & Etzioni, O. (2012). No noun phrase left behind: detecting and typing unlinkable entities. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (pp. 893-903). Association for Computational Linguistics."},{"key":"IJSWIS.2019040102-21","unstructured":"Ling, X., & Weld, D. S. (2012). Fine-grained entity recognition. Paper presented at theProceedings of AAAI (pp. 94-100)."},{"key":"IJSWIS.2019040102-22","unstructured":"Ma, Y., Cambria, E., & Gao, S. (2016). Label embedding for zero-shot fine-grained named entity typing. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 171-180).."},{"key":"IJSWIS.2019040102-23","unstructured":"Mahdisoltani, F., Biega, J., & Suchanek, F. M. (2015). Yago3: A knowledge base from multilingual wikipedias. Paper presented at theProceedings of CIDR."},{"key":"IJSWIS.2019040102-24","doi-asserted-by":"publisher","DOI":"10.1142\/S0218213017600119"},{"key":"IJSWIS.2019040102-25","unstructured":"Meyer, B. (1988). Object-oriented software construction (Vol. 2). New York: Prentice Hall."},{"key":"IJSWIS.2019040102-26","unstructured":"Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. Paper presented at theICLR Workshop."},{"key":"IJSWIS.2019040102-27","unstructured":"Nakashole, N., Tylenda, T., & Weikum, G. (2013). Fine-grained semantic typing of emerging entities. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Vol. 1, pp. 1488-1497).."},{"key":"IJSWIS.2019040102-28","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.07.001"},{"key":"IJSWIS.2019040102-29","unstructured":"Nuzzolese, A. G., Gangemi, A., Presutti, V., & Ciancarini, P. (2012). Type inference through the analysis of Wikipedia links. Paper presented at theProceedings of LODW."},{"key":"IJSWIS.2019040102-30","doi-asserted-by":"crossref","unstructured":"Pasca, M. (2007). Organizing and searching the world wide web of facts-step two: harnessing the wisdom of the crowds. In Proceedings of the 16th International Conference on World Wide Web (pp. 101-110). ACM.","DOI":"10.1145\/1242572.1242587"},{"key":"IJSWIS.2019040102-31","unstructured":"Pasca, M., & Van Durme, B. (2007). What you seek is what you get: extraction of class attributes from query logs. Paper presented at theProceedings of IJCAI (Vol. 7, pp. 2832-2837)."},{"key":"IJSWIS.2019040102-32","unstructured":"Pasca, M., & Van Durme, B. (2008). Weakly-supervised acquisition of open-domain classes and class attributes from web documents and query logs. Paper presented at theProceedings of ACL (pp. 19-27)."},{"key":"IJSWIS.2019040102-33","doi-asserted-by":"crossref","unstructured":"Paulheim, H., & Bizer, C. (2013). Type inference on noisy rdf data. In International Semantic Web Conference (pp. 510-525). Springer.","DOI":"10.1007\/978-3-642-41335-3_32"},{"key":"IJSWIS.2019040102-34","doi-asserted-by":"publisher","DOI":"10.4018\/ijswis.2014040104"},{"key":"IJSWIS.2019040102-35","unstructured":"Ponzetto, S. P., & Strube, M. (2007). Deriving a large scale taxonomy from Wikipedia. Paper presented at theProceedings of AAAI (Vol. 7, pp. 1440-1445)."},{"key":"IJSWIS.2019040102-36","unstructured":"Ponzetto, S. P., & Strube, M. (2008). Wikitaxonomy: a large scale knowledge resource. Paper presented at theProceedings of ECAI (Vol. 178, pp. 751-752)."},{"key":"IJSWIS.2019040102-37","unstructured":"Rahman, A., & Ng, V. (2010). Inducing fine-grained semantic classes via hierarchical and collective classification. In Proceedings of the 23rd International Conference on Computational Linguistics (pp. 931-939). Association for Computational Linguistics.."},{"key":"IJSWIS.2019040102-38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1144"},{"key":"IJSWIS.2019040102-39","unstructured":"Stojanovic, L. (2004). Methods and tools for ontology evolution [PhD thesis]. Karlsruhe Institute of Technology, Germany."},{"key":"IJSWIS.2019040102-40","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2008.06.001"},{"key":"IJSWIS.2019040102-41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41335-3_40"},{"key":"IJSWIS.2019040102-42","doi-asserted-by":"crossref","unstructured":"Wang, H., Wu, T., Qi, G., & Ruan, T. (2014). On publishing Chinese linked open schema. In International Semantic Web Conference (pp. 293-308). Cham: Springer.","DOI":"10.1007\/978-3-319-11964-9_19"},{"key":"IJSWIS.2019040102-43","doi-asserted-by":"crossref","unstructured":"Wu, T., Qi, G., & Wang, H. (2014) Zhishi. schema explorer: A platform for exploring Chinese linked open schema. In Chinese Semantic Web and Web Science Conference (pp. 174-181). Springer.","DOI":"10.1007\/978-3-662-45495-4_16"},{"key":"IJSWIS.2019040102-44","unstructured":"Yosef, M. A., Bauer, S., Hoffart, J., Spaniol, M., & Weikum, G. (2012). Hyena: Hierarchical type classification for entity names. In Proceedings of COLING 2012: Posters (pp. 1361-1370)."},{"key":"IJSWIS.2019040102-45","unstructured":"Yosef, M. A., Bauer, S., Hoffart, J., Spaniol, M., & Weikum, G. (2013). Hyena-live: Fine-grained online entity type classification from natural-language text. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations (pp. 133-138)."}],"container-title":["International Journal on Semantic Web and Information Systems"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=223107","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T13:21:14Z","timestamp":1662902474000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSWIS.2019040102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2019,4,1]]},"references-count":46,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijswis.2019040102","relation":{},"ISSN":["1552-6283","1552-6291"],"issn-type":[{"value":"1552-6283","type":"print"},{"value":"1552-6291","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,1]]}}}