{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T05:11:36Z","timestamp":1723266696562},"reference-count":10,"publisher":"Association for Computing Machinery (ACM)","issue":"13","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2014,8]]},"abstract":"<jats:p>\n            We present OASSIS (for Ontology ASSISted crowd mining), a prototype system which allows users to declaratively specify their information needs, and mines the crowd for answers. The answers that the system computes are\n            <jats:italic>concise and relevant<\/jats:italic>\n            , and represent\n            <jats:italic>frequent, significant data patterns.<\/jats:italic>\n            The system is based on (1) a generic model that captures both ontological knowledge, as well as the individual knowledge of crowd members from which frequent patterns are mined; (2) a query language in which users can specify their information needs and types of data patterns they seek; and (3) an efficient query evaluation algorithm, for mining semantically concise answers while minimizing the number of questions posed to the crowd. We will demonstrate OASSIS using a couple of real-life scenarios, showing how users can formulate and execute queries through the OASSIS UI and how the relevant data is mined from the crowd.\n          <\/jats:p>","DOI":"10.14778\/2733004.2733039","type":"journal-article","created":{"date-parts":[[2015,5,12]],"date-time":"2015-05-12T15:37:52Z","timestamp":1431445072000},"page":"1597-1600","source":"Crossref","is-referenced-by-count":4,"title":["Ontology assisted crowd mining"],"prefix":"10.14778","volume":"7","author":[{"given":"Yael","family":"Amsterdamer","sequence":"first","affiliation":[{"name":"Tel Aviv University, Tel Aviv, Israel"}]},{"given":"Susan B.","family":"Davidson","sequence":"additional","affiliation":[{"name":"University of Pennsylvania, Philadelphia, PA"}]},{"given":"Tova","family":"Milo","sequence":"additional","affiliation":[{"name":"Tel Aviv University, Tel Aviv, Israel"}]},{"given":"Slava","family":"Novgorodov","sequence":"additional","affiliation":[{"name":"Tel Aviv University, Tel Aviv, Israel"}]},{"given":"Amit","family":"Somech","sequence":"additional","affiliation":[{"name":"Tel Aviv University, Tel Aviv, Israel"}]}],"member":"320","published-online":{"date-parts":[[2014,8]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"ICDT","author":"Amarilli A.","year":"2014","unstructured":"A. Amarilli , Y. Amsterdamer , and T. Milo . On the complexity of mining itemsets from the crowd using taxonomies . In ICDT , 2014 . A. Amarilli, Y. Amsterdamer, and T. Milo. On the complexity of mining itemsets from the crowd using taxonomies. In ICDT, 2014."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610514"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465318"},{"key":"e_1_2_1_4_1","volume-title":"SIGMOD","volume":"96","author":"Han J.","year":"1996","unstructured":"J. Han , Y. Fu , W. Wang , K. Koperski , O. Zaiane , : A data mining query language for relational databases . In SIGMOD , volume 96 , 1996 . J. Han, Y. Fu, W. Wang, K. Koperski, O. Zaiane, et al. DMQL: A data mining query language for relational databases. In SIGMOD, volume 96, 1996."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.06.001"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/2535568.2448944"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398421"},{"key":"e_1_2_1_9_1","volume-title":"SPARQL query language for RDF. W3C rec., 15","author":"Prud'Hommeaux E.","year":"2008","unstructured":"E. Prud'Hommeaux , A. Seaborne , SPARQL query language for RDF. W3C rec., 15 , 2008 . E. Prud'Hommeaux, A. Seaborne, et al. SPARQL query language for RDF. W3C rec., 15, 2008."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465280"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/2733004.2733039","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T09:42:41Z","timestamp":1672220561000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/2733004.2733039"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8]]},"references-count":10,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2014,8]]}},"alternative-id":["10.14778\/2733004.2733039"],"URL":"https:\/\/doi.org\/10.14778\/2733004.2733039","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2014,8]]}}}