{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T01:29:58Z","timestamp":1768267798501,"version":"3.49.0"},"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>Answering temporal CQs over temporalized Description Logic knowledge bases (TKB) is a main technique to realize ontology-based situation recognition. In case the collected data in such a knowledge base is inaccurate, important query answers can be missed. In this paper we introduce the TKB Alignment problem, which computes a variant of the TKB that minimally changes the TKB, but entails the given temporal CQ and is in that sense (cost-) optimal. We investigate this problem for ALC TKBs and conjunctive queries with LTL operators and devise a solution technique to compute (cost-optimal) alignments of TKBs that extends techniques for the alignment problem for propositional LTL over finite traces.<\/jats:p>","DOI":"10.3233\/faia230335","type":"book-chapter","created":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T09:08:58Z","timestamp":1695978538000},"source":"Crossref","is-referenced-by-count":1,"title":["Optimal Alignment of Temporal Knowledge Bases"],"prefix":"10.3233","author":[{"given":"Oliver","family":"Fern\u00e1ndez Gil","sequence":"first","affiliation":[{"name":"Theoretical Computer Science, Technische Universit\u00e4t Dresden, Germany"},{"name":"Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden\/Leipzig, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Patrizi","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Perelli","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anni-Yasmin","family":"Turhan","sequence":"additional","affiliation":[{"name":"Theoretical Computer Science, Technische Universit\u00e4t Dresden, Germany"},{"name":"Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden\/Leipzig, Germany"}],"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\/FAIA230335","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T09:08:59Z","timestamp":1695978539000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230335"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,28]]},"ISBN":["9781643684369","9781643684376"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230335","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]]}}}