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Answers That Have Quality

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dc.contributor.author Decker, Hendrik es_ES
dc.date.accessioned 2017-01-26T10:48:03Z
dc.date.available 2017-01-26T10:48:03Z
dc.date.issued 2013
dc.identifier.isbn 978-3-642-39643-4
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/77353
dc.description.abstract [EN] The lack of quality of stored data is reflected by violations of integrity constraints. Answers to queries in databases containing bad quality information usually cannot be trusted. Nevertheless, many answers given by such databases may still be useful, as long as they are derived from data the quality of which is sufficiently high. We formalize our intuition of answers that have quality on the basis of causes . A cause of an answer is a minimal excerpt of the database that explains why the answer has been given. Thus, an answer has quality if the overlap of its causes with the causes of integrity violation is empty. Even if that overlap is not empty, but is sufficiently low, an answer may have sufficient quality. The amount of causes in the overlaps of causes of answers and integrity violations can be sized by quality metrics. es_ES
dc.description.sponsorship Supported by FEDER and the Spanish grants TIN2009-14460-C03, TIN2010-17139.
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation MICINN/TIN2009-14460-C03 es_ES
dc.relation MICINN/TIN2010-17139 es_ES
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.title Answers That Have Quality es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso
dc.identifier.doi 10.1007/978-3-642-39643-4_39
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.description.bibliographicCitation Decker, H. (2013). Answers That Have Quality. Lecture Notes in Computer Science. 7972:543-558. doi:10.1007/978-3-642-39643-4_39 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 13th International Conference on Computational Science and Its Applications (ICCSA)
dc.relation.conferenceplace June 24-27, 2013
dc.relation.conferenceplace Ho Chi Minh City, Vietnam
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-642-39643-4_39 es_ES
dc.description.upvformatpinicio 543 es_ES
dc.description.upvformatpfin 558 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 7972 es_ES
dc.relation.senia 255620 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.relation.references Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley (1995) es_ES
dc.relation.references Apt, K., Bezem, M.: Acyclic programs. New Generation Computing 9(3,4), 335–364 (1991) es_ES
dc.relation.references Arenas, M., Bertossi, L.E., Chomicki, J.: Consistent query answers in inconsistent databases. In: Proceedings of PODS, pp. 68–79. ACM Press (1999) es_ES
dc.relation.references Batini, C., Cappiello, C., Francalanci, C., Maurino, A.: Methodologies for Data Quality Assessment and Improvement. Comput. Surveys 41(3),16:1–16:52 (2009) es_ES
dc.relation.references Berlin, J., Motro, A.: Tuplerank: Ranking discovered content in virtual databases. In: Etzion, O., Kuflik, T., Motro, A. (eds.) NGITS 2006. LNCS, vol. 4032, pp. 13–25. Springer, Heidelberg (2006) es_ES
dc.relation.references Borek, A., Woodall, P., Oberhofer, M., Parlikad, A.K.: A Classification of Data Quality Asessment Methods. In: Proc. 16th ICIQ, pp. 189–203 es_ES
dc.relation.references Campbell, R., Zhang, L., Francis, L., Palenik, R., Popelyukhin, A., Scruton, G., Prevosto, V.: Survey of Data Management and Data Quality Texts. In: Proc. CAS Winter Forum, pp. 273–306. Casualty Actuarial Society (2007) es_ES
dc.relation.references Cavedon, L., Lloyd, J.: A completeness theorem for SLDNF resolution. J. Log. Prog. 7(3), 177–191 (1989) es_ES
dc.relation.references Chockler, H., Halpern, J.: Responsibility and blame: a structural-model approach. J. Artif. Intell. Res. 22, 93–115 (2004) es_ES
dc.relation.references Clark, K.: Negation as failure. In: Gallaire, H., Minker, J. (eds.) Logic and Data Bases, pp. 293–322. Plenum Press (1978) es_ES
dc.relation.references Cong, G., Fan, W., Geerts, F., Jia, X., Ma, S.: Improving Data Quality: Consistency and Accuracy. In: Proc. 33rd VLDB, pp. 315–326. ACM (2007) es_ES
dc.relation.references Date, C.: The Relational Database Dictionary, Extended edn. Springer (2008) es_ES
dc.relation.references Date, C.: View Updating and Relational Theory. O’Reilly (2012) es_ES
dc.relation.references Decker, H.: The range form of databases and queries or: How to avoid floundering. In: Proc. 5th ÖGAI. Informatik-Fachberichte, vol. 208, pp. 114–123. Springer (1989) es_ES
dc.relation.references Decker, H.: On explanations in deductive databases. In: Proc. 3rd Workshop on Foundations of Models and Languages for Data and Objects, Informatik-Bericht 91/3, pp. 173–185. Inst. f. Informatik, Tech. Univ. Clausthal (1991) es_ES
dc.relation.references Decker, H.: Basic causes for the inconsistency tolerance of query answering and integrity checking. In: Proc. 21st DEXA Workshops, pp. 318–322. IEEE CSP (2010) es_ES
dc.relation.references Decker, H.: Toward a uniform cause-based approach to inconsistency-tolerant database semantics. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010, Part II. LNCS, vol. 6427, pp. 983–998. Springer, Heidelberg (2010) es_ES
dc.relation.references Decker, H.: Answers that have integrity. In: Schewe, K.-D., Thalheim, B. (eds.) SDKB 2010. LNCS, vol. 6834, pp. 54–72. Springer, Heidelberg (2011) es_ES
dc.relation.references Decker, H.: Causes for inconsistency-tolerant schema update management. In: Proc. 27th ICDE Workshops, pp. 157–161. IEEE CSP (2011) es_ES
dc.relation.references Decker, H.: Causes of the violation of integrity constraints for supporting the quality of databases. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2011, Part V. LNCS, vol. 6786, pp. 283–292. Springer, Heidelberg (2011) es_ES
dc.relation.references Decker, H.: Data quality maintenance by integrity-preserving repairs that tolerate inconsistency. In: Proc. 11th QSIC, pp. 192–197. IEEE CSP (2011) es_ES
dc.relation.references Decker, H.: Axiomatizing inconsistency metrics for integrity maintenance. In: Proc. 16th KES, pp. 1243–1252. IOS Press (2012) es_ES
dc.relation.references Decker, H.: New measures for maintaining the quality of databases. In: Murgante, B., Gervasi, O., Misra, S., Nedjah, N., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2012, Part IV. LNCS, vol. 7336, pp. 170–185. Springer, Heidelberg (2012) es_ES
dc.relation.references Decker, H.: Maintaining desirable properties of information by inconsistency-tolerant integrity management. In: Mayr, H.C., Kop, C., Liddle, S., Ginige, A. (eds.) UNISON 2012. LNBIP, vol. 137, pp. 13–24. Springer, Heidelberg (2013) es_ES
dc.relation.references Decker, H.: Measure-based inconsistency-tolerant maintenance of database integrity. In: Schewe, K.-D., Thalheim, B. (eds.) SDKB 2013. LNCS, vol. 7693, pp. 149–173. Springer, Heidelberg (2013) es_ES
dc.relation.references Decker, H.: Modeling, measuring and maintaining the quality of databases (to appear, 2013) es_ES
dc.relation.references Decker, H., Martinenghi, D.: Modeling, measuring and monitoring the quality of information. In: Heuser, C.A., Pernul, G. (eds.) ER 2009. LNCS, vol. 5833, pp. 212–221. Springer, Heidelberg (2009) es_ES
dc.relation.references Ehling, M., Körner, T.: Handbook on Data Quality Assessment Methods and Tools. European Commission, Eurostat (2007) es_ES
dc.relation.references Fan, W.: Dependencies revisited for improving data quality. In: Proc. 27th PODS, pp. 159–170. ACM (2008) es_ES
dc.relation.references Gertz, M.: Managing Data Quality and Integrity in Federated Databases. In: Integrity and Internal Control in Information Systems. IFIP Conference Proceedings, vol. 136, pp. 211–230. Kluwer (1998) es_ES
dc.relation.references Godfrey, P., Grant, J., Gryz, J., Minker, J.: Integrity Constraints: Semantics and Applications. In: Logics for Databases and Information Systems. Engineering and Computer Science, vol. 436, pp. 265–306. Springer (1998) es_ES
dc.relation.references Halpern, J.: Causality, responsibility, and blame: A structural-model approach. In: Proc. 3rd QEST, pp. 3–8. IEEE CSP (2006) es_ES
dc.relation.references Halpern, J., Pearl, J.: Causes and explanations: a structural-model approach, part i: Causes. Brit. J. Phil. Sci. 56, 843–887 (2005) es_ES
dc.relation.references Hinrichs, T., Kao, J., Genesereth, M.: Inconsistency-tolerant reasoning with classical logic and large databases. In: Proc. 8th SARA, pp. 105–112. AAAI Publications (2009) es_ES
dc.relation.references Typology of Database Quality Factors. Software Quality Journal 7(3/4), 179–193 (1998) es_ES
dc.relation.references Kowalski, R., Kuehner, D.: Linear Resolution with Selection Function. Artificial Intelligence 2(3-4), 227–260 (1971) es_ES
dc.relation.references Kowalski, R.A., Sadri, F.: Teleo-Reactive Abductive Logic Programs. In: Artikis, A., Craven, R., Kesim Çiçekli, N., Sadighi, B., Stathis, K. (eds.) Sergot Festschrift 2012. LNCS, vol. 7360, pp. 12–32. Springer, Heidelberg (2012) es_ES
dc.relation.references Lifschitz, V.: What is answer set computing? In: Proc. 23rd AAAI, pp. 1594–1597 (2008) es_ES
dc.relation.references LLoyd, J.: Foundations of Logic Programming, 2nd edn. Springer (1987) es_ES
dc.relation.references Meliou, A., Gatterbauer, W., Moore, K., Suciu, D.: The complexity of causality and responsibility for query answers and non-answers. In: Proc. 37th VLDB, pp. 34–45 (2011) es_ES
dc.relation.references Pipino, L., Lee, Y., Wang, R.: Data quality assessment. CACM 45(4), 211–218 (2002) es_ES
dc.relation.references Sidi, F., Panah, P., Affendey, L., Jabar, M., Ibrahim, H., Mustapha, A.: Data quality: A survey of data quality dimensions. In: Proc. CAMP 2012, pp. 300–304. IEEE CSP (2012) es_ES
dc.relation.references Tejay, G., Dhillon, G., Chin, A.G.: Data Quality Dimensions for Information Systems Security: A Theoretical Exposition. In: Dowland, P., Furnell, S., Thuraisingham, B., Sean Wang, X. (eds.) Security Management, Integrity, and Internal Control in Information Systems. IFIP, vol. 193, pp. 21–39. Springer, Boston (2006) es_ES
dc.relation.references Wang, R., Kon, H., Madnick, S.: Data quality requirements analysis and modeling. In: Proc. 9th ICDE, pp. 670–677. IEEE CSP (1993) es_ES


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