{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:11:02Z","timestamp":1759032662521},"reference-count":11,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Semantic Computing"],"published-print":{"date-parts":[[2008,9]]},"abstract":"<jats:p> This work concerns non-parametric approaches for statistical learning applied to the standard knowledge representation languages adopted in the Semantic Web context. We present methods based on epistemic inference that are able to elicit and exploit the semantic similarity of individuals in OWL knowledge bases. Specifically, a totally semantic and language-independent semi-distance function is introduced, whence also an epistemic kernel function for Semantic Web representations is derived. Both the measure and the kernel function are embedded in non-parametric statistical learning algorithms customized for coping with Semantic Web representations. Particularly, the measure is embedded in a k-Nearest Neighbor algorithm and the kernel function is embedded in a Support Vector Machine. The implemented algorithms are used to perform inductive concept retrieval and query answering. An experimentation on real ontologies proves that the methods can be effectively employed for performing the target tasks, and moreover that it is possible to induce new assertions that are not logically derivable. <\/jats:p>","DOI":"10.1142\/s1793351x0800049x","type":"journal-article","created":{"date-parts":[[2009,2,16]],"date-time":"2009-02-16T12:26:09Z","timestamp":1234787169000},"page":"403-423","source":"Crossref","is-referenced-by-count":9,"title":["INDUCTION OF CLASSIFIERS THROUGH NON-PARAMETRIC METHODS FOR APPROXIMATE CLASSIFICATION AND RETRIEVAL WITH ONTOLOGIES"],"prefix":"10.1142","volume":"02","author":[{"given":"NICOLA","family":"FANIZZI","sequence":"first","affiliation":[{"name":"Dipartimento di Informatica, Universit\u00e1 degli studi di Bari, Via Orabona 4, 70125 Bari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CLAUDIA","family":"D'AMATO","sequence":"additional","affiliation":[{"name":"Dipartimento di Informatica, Universit\u00e1 degli studi di Bari, Via Orabona 4, 70125 Bari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"FLORIANA","family":"ESPOSITO","sequence":"additional","affiliation":[{"name":"Dipartimento di Informatica, Universit\u00e1 degli studi di Bari, Via Orabona 4, 70125 Bari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0501-34"},{"key":"rf2","volume-title":"The Description Logic Handbook","author":"Baader F.","year":"2003"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-4832-1452-8.50108-1"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022626200450"},{"key":"rf7","volume-title":"Machine Learning","author":"Mitchell T. M.","year":"1997"},{"key":"rf8","volume-title":"Learning with Kernels","author":"Sch\u00f6lkopf B.","year":"2002"},{"key":"rf10","volume-title":"An Introduction to Support Vector Machines","author":"Cristianini N.","year":"2000"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.3758\/BF03201115"},{"key":"rf17","series-title":"Advances in database Systems","volume-title":"Similarity Search \u2014 The Metric Space Approach","author":"Zezula P.","year":"2007"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1145\/959242.959248"},{"key":"rf20","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000039777.23772.30"}],"container-title":["International Journal of Semantic Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1793351X0800049X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T01:30:30Z","timestamp":1565141430000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1793351X0800049X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,9]]},"references-count":11,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2008,9]]}},"alternative-id":["10.1142\/S1793351X0800049X"],"URL":"https:\/\/doi.org\/10.1142\/s1793351x0800049x","relation":{},"ISSN":["1793-351X","1793-7108"],"issn-type":[{"value":"1793-351X","type":"print"},{"value":"1793-7108","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,9]]}}}