{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:30:12Z","timestamp":1750221012750,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":33,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1145\/3331076.3331104","type":"proceedings-article","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T17:40:26Z","timestamp":1563558026000},"page":"1-7","source":"Crossref","is-referenced-by-count":2,"title":["Simplified data posting in practice"],"prefix":"10.1145","author":[{"given":"Elio","family":"Masciari","sequence":"first","affiliation":[{"name":"ICAR-CNR, Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irina","family":"Trubitsyna","sequence":"additional","affiliation":[{"name":"University of Calabria, Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Domenico","family":"Sacc\u00e0","sequence":"additional","affiliation":[{"name":"University of Calabria, Rende (CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3331076.3331104-1","unstructured":"D. Agrawal et al. Challenges and opportunities with big data. A community white paper developed by leading researchers across the United States. 2012."},{"key":"key-10.1145\/3331076.3331104-2","doi-asserted-by":"crossref","unstructured":"M. Arenas, P. Barcel&#243;, R. Fagin, and L. Libkin. Locally consistent transformations and query answering in data exchange. In C. Beeri and A. Deutsch, editors,PODS, pages 229--240. ACM, 2004.","DOI":"10.1145\/1055558.1055592"},{"key":"key-10.1145\/3331076.3331104-3","doi-asserted-by":"crossref","unstructured":"M. Calautti, S. Greco, C. Molinaro, and I. Trubitsyna. Rewriting-based check of chase termination. InProc. of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, 2015.","DOI":"10.14778\/2876473.2876475"},{"key":"key-10.1145\/3331076.3331104-4","doi-asserted-by":"crossref","unstructured":"M. Calautti, S. Greco, C. Molinaro, and I. Trubitsyna. Exploiting equality generating dependencies in checking chase termination.PVLDB, 9(5):396--407, 2016.","DOI":"10.14778\/2876473.2876475"},{"key":"key-10.1145\/3331076.3331104-5","doi-asserted-by":"crossref","unstructured":"L. Caroprese, I. Trubitsyna, and E. Zumpano. A framework for prioritized reasoning based on the choice evaluation. InProc. ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007, pages 65--70, 2007.","DOI":"10.1145\/1244002.1244017"},{"key":"key-10.1145\/3331076.3331104-6","doi-asserted-by":"crossref","unstructured":"L. Caroprese and E. Zumpano. Aggregates and priorities in P2P data management systems. InProc. of 15th International Database Engineering and Applications Symposium (IDEAS 2011), Lisbon, Portugal, pages 1--7, 2011.","DOI":"10.1145\/2076623.2076625"},{"key":"key-10.1145\/3331076.3331104-7","doi-asserted-by":"crossref","unstructured":"L. Caroprese and E. Zumpano. Computing a deterministic semantics for P2P deductive databases. InProc. 21st International Database Engineering &#38; Applications Symposium, IDEAS 2017, Bristol, United Kingdom, pages 184--191, 2017.","DOI":"10.1145\/3105831.3105837"},{"key":"key-10.1145\/3331076.3331104-8","doi-asserted-by":"crossref","unstructured":"N. Cassavia, E. Masciari, C. Pulice, and D. Sacc&#224;. Discovering user behavioral features to enhance information search on big data.TiiS, 7(2):7:1--7:33, 2017.","DOI":"10.1145\/2856059"},{"key":"key-10.1145\/3331076.3331104-9","doi-asserted-by":"crossref","unstructured":"A. Deutsch, A. Nash, and J. B. Remmel. The chase revisited. InProceedings of the Twenty-Seventh ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2008, June 9-11, 2008, Vancouver, BC, Canada, pages 149--158, 2008.","DOI":"10.1145\/1376916.1376938"},{"key":"key-10.1145\/3331076.3331104-10","unstructured":"R. Fagin, P. G. Kolaitis, and L. Popa. Data Exchange: getting to the core.ACM Trans. Database Syst., 30(1):174--210, 2005."},{"key":"key-10.1145\/3331076.3331104-11","doi-asserted-by":"crossref","unstructured":"B. Fazzinga, S. Flesca, E. Masciari, and F. Furfaro. Efficient and effective RFID data warehousing. InInternational Database Engineering and Applications Symposium (IDEAS 2009), September 16-18, 2009, Cetraro, Calabria, Italy, pages 251--258,2009.","DOI":"10.1145\/1620432.1620459"},{"key":"key-10.1145\/3331076.3331104-12","doi-asserted-by":"crossref","unstructured":"N. Fiorentino, S. Greco, C. Molinaro, and I. Trubitsyna. ACID: A system for computing approximate certain query answers over incomplete databases. InProc. of SIGMOD Conference 2018, Houston, TX, USA, pages 1685--1688, 2018.","DOI":"10.1145\/3183713.3193557"},{"key":"key-10.1145\/3331076.3331104-13","doi-asserted-by":"crossref","unstructured":"A. D. Francesco, S. Greco, F. Spezzano, and I. Trubitsyna. Chaset: A tool for checking chase termination. InScalable Uncertainty Management - 5th International Conference, SUM 2011, Dayton, OH, USA, pages 520--524, 2011.","DOI":"10.1007\/978-3-642-23963-2_40"},{"key":"key-10.1145\/3331076.3331104-14","doi-asserted-by":"crossref","unstructured":"G. Greco, S. Greco, I. Trubitsyna, and E. Zumpano. Optimization of bound disjunctive queries with constraints.TPLP, 5(6):713--745, 2005.","DOI":"10.1017\/S1471068404002273"},{"key":"key-10.1145\/3331076.3331104-15","doi-asserted-by":"crossref","unstructured":"S. Greco, C. Molinaro, and F. Spezzano.Incomplete Data and Data Dependencies in Relational Databases.Synthesis Lectures on Data Management. Morgan &#38; Claypool Publishers, 2012.","DOI":"10.2200\/S00435ED1V01Y201207DTM029"},{"key":"key-10.1145\/3331076.3331104-16","doi-asserted-by":"crossref","unstructured":"S. Greco, C. Molinaro, and I. Trubitsyna. Computing approximate query answers over inconsistent knowledge bases. InProceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden., pages 1838--1846, 2018.","DOI":"10.24963\/ijcai.2018\/254"},{"key":"key-10.1145\/3331076.3331104-17","doi-asserted-by":"crossref","unstructured":"S. Greco, C. Molinaro, and I. Trubitsyna. Approximation algorithms for querying incomplete databases.Information Systems (2019), 2019.","DOI":"10.1016\/j.is.2019.03.010"},{"key":"key-10.1145\/3331076.3331104-18","unstructured":"S. Greco, C. Molinaro, I. Trubitsyna, and E. Zumpano. NP datalog: A logic language for expressing search and optimization problems.TPLP, 10(2):125--166, 2010."},{"key":"key-10.1145\/3331076.3331104-19","doi-asserted-by":"crossref","unstructured":"S. Greco, F. Spezzano, and I. Trubitsyna. Stratification criteria and rewriting techniques for checking chase termination.PVLDB, 4(11):1158--1168, 2011.","DOI":"10.14778\/3402707.3402750"},{"key":"key-10.1145\/3331076.3331104-20","unstructured":"S. Greco, F. Spezzano, and I. Trubitsyna. Checking chase termination: Cyclicity analysis and rewriting techniques.IEEE Trans. Knowl. Data Eng., 27(3):621--635, 2015."},{"key":"key-10.1145\/3331076.3331104-21","doi-asserted-by":"crossref","unstructured":"S. Greco, I. Trubitsyna, and E. Zumpano. On the semantics of logic programs with preferences.J. Artif. Intell. Res., 30:501--523, 2007.","DOI":"10.1613\/jair.2371"},{"key":"key-10.1145\/3331076.3331104-22","doi-asserted-by":"crossref","unstructured":"L. Libkin. Incomplete data: what went wrong, and how to fix it. InProc. Symposium on Principles of Database Systems (PODS), pages 1--13, 2014.","DOI":"10.1145\/2594538.2594561"},{"key":"key-10.1145\/3331076.3331104-23","doi-asserted-by":"crossref","unstructured":"T. Lukasiewicz, E. Malizia, and C. Molinaro. Complexity of approximate query answering under inconsistency in datalog+\/-. InProc. 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden, pages 1921--1927, 2018.","DOI":"10.24963\/ijcai.2018\/265"},{"key":"key-10.1145\/3331076.3331104-24","unstructured":"G. Manco, E. Masciari, and A. Tagarelli. A framework for adaptive mail classification. In14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 4-6 November 2002, Washington, DC, USA, page 387, 2002."},{"key":"key-10.1145\/3331076.3331104-25","doi-asserted-by":"crossref","unstructured":"E. Masciari. Trajectory clustering via effective partitioning. InFlexible Query Answering Systems, 8th International Conference, FQAS 2009, Roskilde, Denmark, October 26-28, 2009. Proceedings, pages 358--370, 2009.","DOI":"10.1007\/978-3-642-04957-6_31"},{"key":"key-10.1145\/3331076.3331104-26","doi-asserted-by":"crossref","unstructured":"E. Masciari, G. M. Mazzeo, and C. Zaniolo. Analysing microarray expression data through effective clustering.Inf. Sci., 262:32--45, 2014.","DOI":"10.1016\/j.ins.2013.12.003"},{"key":"key-10.1145\/3331076.3331104-27","doi-asserted-by":"crossref","unstructured":"E. Masciari, D. Sacc&#224;, and I. Trubitsyna. Simple user assistance by data posting. InProc. of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019, pages 1--8, 2019, to appear.","DOI":"10.1109\/AIKE.2019.00021"},{"key":"key-10.1145\/3331076.3331104-28","doi-asserted-by":"crossref","unstructured":"M. Meier, M. Schmidt, and G. Lausen. On chase termination beyond stratification.PVLDB, 2(1):970--981, 2009.","DOI":"10.14778\/1687627.1687737"},{"key":"key-10.1145\/3331076.3331104-29","unstructured":"A. Onet. The chase procedure and its applications in data exchange. InData Exchange, Integration, and Streams, pages 1--37. 2013."},{"key":"key-10.1145\/3331076.3331104-30","doi-asserted-by":"crossref","unstructured":"D. Sacc&#224; and E. Serra. Data Exchange in Datalog Is Mainly a Matter of Choice. In P. Barcel&#243; and R. Pichler, editors,Datalog, volume 7494 ofLecture Notes in Computer Science, pages 153--164. Springer, 2012.","DOI":"10.1007\/978-3-642-32925-8_16"},{"key":"key-10.1145\/3331076.3331104-31","doi-asserted-by":"crossref","unstructured":"D. Sacc&#224;, E. Serra, and A. Guzzo. Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange. In T. Lukasiewicz and A. Sali, editors,FoIKS, volume 7153 ofLecture Notes in Computer Science, pages 352--369. Springer, 2012.","DOI":"10.1007\/978-3-642-28472-4_20"},{"key":"key-10.1145\/3331076.3331104-32","unstructured":"Special report. Big data.Nature, Sept. 2008."},{"key":"key-10.1145\/3331076.3331104-33","unstructured":"Special report. Data, data everywhere.The Economist, Feb. 2010."}],"event":{"name":"the 23rd International Database Applications & Engineering Symposium","start":{"date-parts":[[2019,6,10]]},"number":"23","location":"Athens, Greece","end":{"date-parts":[[2019,6,12]]},"acronym":"IDEAS '19"},"container-title":["Proceedings of the 23rd International Database Applications &amp; Engineering Symposium on - IDEAS '19"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331076.3331104","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3331104&ftid=2073395&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:06Z","timestamp":1750206366000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3331076.3331104"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1145\/3331076.3331104","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}