{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T03:15:39Z","timestamp":1709262939979},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2017,2]]},"abstract":"<jats:p> Using the bag-of-word model to represent the textual data of XML documents may not be beneficial in XML clustering by content and structure. Indeed, the occurrence of similar structure-constrained textual items across distinct XML documents may enforce relatedness, despite the possibly different meaning implied by the order of item occurrence in the respective contexts. <\/jats:p><jats:p> We propose XML clustering by structure-constrained phrases. It is a new method that better captures the meaning of the structure-constrained textual items of XML documents, by resorting to the more accurate bag-of-phrase model for improved clustering effectiveness. In order to conduct an in-depth and systematic study of the validity of the proposed method, we develop a parameter-free approach, that projects the XML documents into a space of XML features corresponding to sequences of textual items in the context of root-to-leaf paths. Automatic feature selection allows for choosing a subset of XML features, whose relevance is assessed through an innovative scoring scheme. The devised approach can operate with representations of the XML documents over both fixed- and mixed-length sequences of contextualized textual items. A novel criterion is presented to combine XML features with mixed lengths. A comparative experimentation on real-world benchmark XML corpora reveals the overcoming effectiveness of our approach. This highlights the potential of XML clustering by structure-constrained phrases and fosters further efforts. The scalability of the devised approach is also investigated. <\/jats:p>","DOI":"10.1142\/s0218213017600028","type":"journal-article","created":{"date-parts":[[2017,2,28]],"date-time":"2017-02-28T21:39:35Z","timestamp":1488317975000},"page":"1760002","source":"Crossref","is-referenced-by-count":8,"title":["XML Clustering by Structure-Constrained Phrases: A Fully-Automatic Approach Using Contextualized N-Grams"],"prefix":"10.1142","volume":"26","author":[{"given":"Gianni","family":"Costa","sequence":"first","affiliation":[{"name":"Istituto di Calcolo e Reti ad Alte Prestazioni \u2014 National Research Council I87036 Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riccardo","family":"Ortale","sequence":"additional","affiliation":[{"name":"Istituto di Calcolo e Reti ad Alte Prestazioni \u2014 National Research Council I87036 Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2017,2,21]]},"reference":[{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1145\/1978802.1978804"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2005.06.003"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.190649"},{"key":"p_9","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-009-0155-0"},{"key":"p_10","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2012.12.002"},{"key":"p_20","doi-asserted-by":"publisher","DOI":"10.1145\/2414782.2414785"},{"key":"p_21","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2004.11.009"},{"key":"p_22","doi-asserted-by":"publisher","DOI":"10.1145\/1394251.1394255"},{"key":"p_31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2004.1264824"},{"key":"p_33","doi-asserted-by":"publisher","DOI":"10.1108\/eb046814"},{"key":"p_34","doi-asserted-by":"publisher","DOI":"10.1126\/science.253.5023.974"},{"key":"p_35","doi-asserted-by":"publisher","DOI":"10.1145\/361219.361220"},{"key":"p_38","doi-asserted-by":"publisher","DOI":"10.1145\/1364782.1364795"},{"key":"p_39","first-page":"224","author":"Yao J.","year":"2007","journal-title":"Pre-Proceedings of the INitiative for the Evaluation of XML Retrieval ("},{"key":"p_41","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-005-0361-3"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213017600028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T13:57:42Z","timestamp":1565099862000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213017600028"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2]]},"references-count":15,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2017,2,21]]},"published-print":{"date-parts":[[2017,2]]}},"alternative-id":["10.1142\/S0218213017600028"],"URL":"https:\/\/doi.org\/10.1142\/s0218213017600028","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2]]}}}