{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:27:25Z","timestamp":1760711245205},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684369","type":"print"},{"value":"9781643684376","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,9,28]],"date-time":"2023-09-28T00:00:00Z","timestamp":1695859200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,28]]},"abstract":"<jats:p>Action-related KnowledGe (AKG) is important for facilitating deeper understanding of people\u2019s life patterns, objectives and motivations. In this study, we present a novel framework for automatically predicting missing human biography records in Wikipedia by generating such knowledge. The generation method, which is based on a neural network matrix factorization model, is capable of encoding action semantics from diverse perspectives and discovering latent inter-action relations. By correctly predicting missing information and correcting errors, our work can effectively improve the quality of data about the behavioral records of historical figures in the knowledge base (e.g., biographies in Wikipedia), thus contributing to the understanding and study of human actions by the general public on the one hand, and can be considered as a new paradigm for managing action-related knowledge in digital libraries on the other. Extensive experiments demonstrate that the AKG we generate can capture well missing or \u201cforgotten\u201d human biography related information in Wikipedia.<\/jats:p>","DOI":"10.3233\/faia230319","type":"book-chapter","created":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T09:05:55Z","timestamp":1695978355000},"source":"Crossref","is-referenced-by-count":1,"title":["What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns"],"prefix":"10.3233","author":[{"given":"Yijun","family":"Duan","sequence":"first","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST), AIRC, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST), AIRC, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"Jatowt","sequence":"additional","affiliation":[{"name":"University of Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyi","family":"Zhuang","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST), AIRC, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai-Tao","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Tsukuba, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Lynden","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST), AIRC, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyoung-Sook","family":"Kim","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST), AIRC, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akiyoshi","family":"Matono","sequence":"additional","affiliation":[{"name":"National Institute of Advanced Industrial Science and Technology (AIST), AIRC, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2023"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T09:05:59Z","timestamp":1695978359000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,28]]},"ISBN":["9781643684369","9781643684376"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230319","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,28]]}}}