Flexible Query Answering Systems

We propose a new approach to modelling abductive reasoning by means of an abductive question-answer system. We introduce the concept of an abductive question which is the starting point of abductive reasoning. The result of applying the question processing procedure is a question, which is simpler than the initial one. AQAS generates abductive hypotheses that fulfil certain criteria in one step, i.e. processes of generation and evaluation of abductive hypotheses are integrated.

[1]  Daniel J. Abadi,et al.  Sinew: a SQL system for multi-structured data , 2014, SIGMOD Conference.

[2]  N. C. Chauhan,et al.  Incremental Mining of Association Rules : A Survey , 2012 .

[3]  William C. McGee The Information Management System IMS/VS Part I: General Structure and Operation , 1977, IBM Syst. J..

[4]  Doug McMahon,et al.  JSON data management: supporting schema-less development in RDBMS , 2014, SIGMOD Conference.

[5]  Jifa Guo,et al.  Topological relation analysis between high-order fuzzy regions based on fuzzy logic , 2014, J. Intell. Fuzzy Syst..

[6]  Shalom Lappin,et al.  An Intensional Parametric Semantics For Vague Quantifiers , 2000 .

[7]  Xindong Wu,et al.  Efficient mining of both positive and negative association rules , 2004, TOIS.

[8]  Jan Terje Bjørke,et al.  Topological relations between fuzzy regions: derivation of verbal terms , 2004, Fuzzy Sets Syst..

[9]  Jörg Verstraete Deriving topological concepts for fuzzy regions: from properties to definitions , 2012 .

[10]  Isabelle Bloch,et al.  Fuzzy spatial relationships for image processing and interpretation: a review , 2005, Image Vis. Comput..

[11]  R. Giles A non-classical logic for physics , 1974 .

[12]  Richard T. Snodgrass,et al.  The TSQL2 Temporal Query Language , 1995 .

[13]  Cristina Dutra de Aguiar Ciferri,et al.  Modeling fuzzy topological predicates for fuzzy regions , 2014, SIGSPATIAL/GIS.

[14]  Vicki L. Sauter,et al.  Decision Support Systems for Business Intelligence , 2011 .

[15]  Markus Schneider,et al.  Metric operations on fuzzy spatial objects in databases , 2000, GIS '00.

[16]  Markus Schneider,et al.  Fuzzy Spatial Data Types for Spatial Uncertainty Management in Databases , 2008, Handbook of Research on Fuzzy Information Processing in Databases.

[17]  Lotfi A. Zadeh,et al.  A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[18]  Tadeusz Pankowski,et al.  A High-Level Language for Specifying XML Data Transformations , 2004, ADBIS.

[19]  Eliseo Clementini,et al.  Approximate topological relations , 1997, Int. J. Approx. Reason..

[20]  Xindong Wu,et al.  Data mining with big data , 2014, IEEE Transactions on Knowledge and Data Engineering.

[21]  Thomas Behr,et al.  Topological relationships between complex spatial objects , 2006, TODS.

[22]  Robin Giles,et al.  Semantics for fuzzy reasoning , 1982 .

[23]  Ramakrishnan Srikant,et al.  Mining quantitative association rules in large relational tables , 1996, SIGMOD '96.

[24]  Markus Schneider,et al.  A conceptual model of fuzzy topological relationships for fuzzy regions , 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[25]  Christian G. Fermüller,et al.  Randomized game semantics for semi-fuzzy quantifiers , 2014, Log. J. IGPL.

[26]  Jun Tan,et al.  Incremental maintenance of association rules over data streams , 2010, 2010 International Conference on Networking and Digital Society.

[27]  Daniel Sánchez,et al.  Using association rules to mine for strong approximate dependencies , 2008, Data Mining and Knowledge Discovery.

[28]  Ion Stoica,et al.  BlinkDB: queries with bounded errors and bounded response times on very large data , 2012, EuroSys '13.

[29]  Richard T. Snodgrass,et al.  The temporal query language TQuel , 1987, TODS.

[30]  Arta Dilo,et al.  Representation of and reasoning with vagueness in spatial information : a system for handling vague objects , 2006 .

[31]  Ramez Elmasri,et al.  The Consensus Glossary of Temporal Database Concepts - February 1998 Version , 1997, Temporal Databases, Dagstuhl.

[32]  Martine De Cock,et al.  Spatial reasoning in a fuzzy region connection calculus , 2009, Artif. Intell..

[33]  Tim Fernando,et al.  Expecting Many , 1996 .

[34]  Markus Schneider Spatial Plateau Algebra for implementing fuzzy spatial objects in databases and GIS: Spatial plateau data types and operations , 2014, Appl. Soft Comput..

[35]  Daniel Sánchez,et al.  Fuzzy quantification: a state of the art , 2014, Fuzzy Sets Syst..

[36]  Cong Yu,et al.  TIMBER: A native XML database , 2002, The VLDB Journal.

[37]  Yi Chen,et al.  XSeek: A Semantic XML Search Engine Using Keywords , 2007, VLDB.

[38]  Cong Yu,et al.  Schema-Free XQuery , 2004, VLDB.

[39]  Shriram Krishnamurthi,et al.  Transformation-by-Example for XML , 2000, PADL.

[40]  Marcelo Arenas,et al.  Semantics and Complexity of SPARQL , 2006, International Semantic Web Conference.

[41]  Guy De Tré,et al.  Fuzziness in database management systems: Half a century of developments and future prospects , 2015, Fuzzy Sets Syst..