{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T00:37:10Z","timestamp":1649032630184},"reference-count":12,"publisher":"World Scientific Pub Co Pte Lt","issue":"07","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2018,11]]},"abstract":"<jats:p> The \u03b8-subsumption test is known to be a bottleneck in Inductive Logic Programming. The state-of-the-art learning systems in this field are hardly scalable. Last year, we have created a distributed \u03b8-subsumption process based on an Actor Model, with the aim of being able to decide subsumption on very large clauses. This model was correct and complete, but was also very slow. This is why we introduce ANTS (Actor Network based Theta-Subsumption), a new model also based on an actor network, which is significantly faster than the previous one. <\/jats:p>","DOI":"10.1142\/s0218213018600114","type":"journal-article","created":{"date-parts":[[2018,11,14]],"date-time":"2018-11-14T08:15:52Z","timestamp":1542183352000},"page":"1860011","source":"Crossref","is-referenced-by-count":0,"title":["An Instance Based Model for Scalable <i>\u03b8<\/i>-Subsumption"],"prefix":"10.1142","volume":"27","author":[{"given":"Hippolyte","family":"L\u00e9ger","sequence":"first","affiliation":[{"name":"L.I.P.N UMR-CNRS 7030, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, Villetaneuse, 93430, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominique","family":"Bouthinon","sequence":"additional","affiliation":[{"name":"L.I.P.N UMR-CNRS 7030, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, Villetaneuse, 93430, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustapha","family":"Lebbah","sequence":"additional","affiliation":[{"name":"L.I.P.N UMR-CNRS 7030, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, Villetaneuse, 93430, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanene","family":"Azzag","sequence":"additional","affiliation":[{"name":"L.I.P.N UMR-CNRS 7030, Universit\u00e9 Paris 13, 99 Avenue Jean Baptiste Cl\u00e9ment, Villetaneuse, 93430, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2018,11,14]]},"reference":[{"key":"p_1","volume":"12","author":"Robinson J. A.","journal-title":"J. ACM"},{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0190(87)90103-7"},{"key":"p_9","doi-asserted-by":"publisher","DOI":"10.1145\/3149.214118"},{"key":"p_11","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000023150.80092.40"},{"issue":"1","key":"p_14","first-page":"95","volume":"89","author":"Kuzelka O.","journal-title":"Fundam. Inform."},{"key":"p_15","first-page":"172","volume":"201","author":"Santos J.","journal-title":"Germany"},{"key":"p_18","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5094-2"},{"key":"p_19","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2010-0456"},{"key":"p_20","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5245-8"},{"key":"p_21","first-page":"41","volume":"201","author":"L\u00e9ger H.","journal-title":"UK"},{"key":"p_22","first-page":"235","volume":"197","author":"Hewitt C.","journal-title":"CA, USA"},{"key":"p_23","first-page":"58","volume":"198","author":"Agha G.","journal-title":"NY, USA"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213018600114","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T13:42:12Z","timestamp":1565098932000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213018600114"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":12,"journal-issue":{"issue":"07","published-online":{"date-parts":[[2018,11,14]]},"published-print":{"date-parts":[[2018,11]]}},"alternative-id":["10.1142\/S0218213018600114"],"URL":"https:\/\/doi.org\/10.1142\/s0218213018600114","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11]]}}}