{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,15]],"date-time":"2025-03-15T04:12:51Z","timestamp":1742011971479,"version":"3.38.0"},"reference-count":17,"publisher":"China Science Publishing & Media Ltd.","issue":"4","content-domain":{"domain":["www.mitpressjournals.org"],"crossmark-restriction":true},"short-container-title":["Data Intelligence"],"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:p> Modern information systems require the orchestration of ontologies, conceptual data modeling techniques, and efficient data management so as to provide a means for better informed decision-making and to keep up with new requirements in organizational needs. A major question in delivering such systems, is which components to design and put together to make up the required \u201cknowledge to data\u201d pipeline, as each component and process has trade-offs. In this paper, we introduce a new knowledge-to-data architecture, KnowID. It pulls together both recently proposed components and we add novel transformation rules between Enhanced Entity-Relationship (EER) and the Abstract Relational Model to complete the pipeline. KnowID's main distinctive architectural features, compared to other ontology-based data access approaches, are that runtime use can avail of the closed world assumption commonly used in information systems and of full SQL augmented with path queries. <\/jats:p>","DOI":"10.1162\/dint_a_00060","type":"journal-article","created":{"date-parts":[[2020,6,9]],"date-time":"2020-06-09T20:38:52Z","timestamp":1591735132000},"page":"487-512","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":2,"title":["KnowID: An Architecture for Efficient Knowledge-Driven Information                     and Data Access"],"prefix":"10.3724","volume":"2","author":[{"given":"Pablo Rub\u00e9n","family":"Fillottrani","sequence":"first","affiliation":[{"name":"Departamento de Ciencias e Ingenier\u00eda de la Computaci\u00f3n,                         Universidad Nacional del Sur, Bah\u00eda Blanca, Buenos Aires 8000,                         Argentina."},{"name":"Comisi\u00f3n de Investigaciones Cient\u00edficas, Provincia de Buenos                         Aires, Argentina."}]},{"given":"C. Maria","family":"Keet","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Cape Town, Rondebosch 7700,                         South Africa."}]}],"member":"2026","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/191843.191976"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00011"},{"issue":"2","key":"ref4","first-page":"3","volume":"41","author":"Stonebraker M.","year":"2018","journal-title":"IEEE Data Engineering"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3233\/SW-160217"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2010.07.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.12.020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4018\/JDM.2016070101"},{"key":"ref14","volume-title":"The Description Logics Handbook \u2013 Theory and Applications","author":"Baader F.","year":"2010","edition":"2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2200\/S00363ED1V01Y-201105DTM018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2017.05.005"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3233\/SW-180293"},{"key":"ref26","volume-title":"Information modeling and relational databases","author":"Halpin T.","year":"2008","edition":"2"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.datak.2015.07.004","volume":"98","author":"Keet C.M.","year":"2015","journal-title":"Data & Knowledge Engineering"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/0169-023X(94)90011-6"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/S1071-5819(02)00127-1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2014.04.004"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3233\/SW-190384"}],"container-title":["Data Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/dint_a_00060","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T07:41:01Z","timestamp":1741938061000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciengine.com\/doi\/10.1162\/dint_a_00060"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":17,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["10.1162\/dint_a_00060"],"URL":"https:\/\/doi.org\/10.1162\/dint_a_00060","relation":{},"ISSN":["2641-435X"],"issn-type":[{"type":"electronic","value":"2641-435X"}],"subject":[],"published":{"date-parts":[[2020,10]]},"assertion":[{"value":"2020-10-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}