Query Nesting, Assignment, and Aggregation in SPARQL 1.1
暂无分享,去创建一个
[1] Viktor Leis,et al. Efficient Processing of Window Functions in Analytical SQL Queries , 2015, Proc. VLDB Endow..
[2] François Goasdoué,et al. Efficient OLAP operations for RDF analytics , 2015, 2015 31st IEEE International Conference on Data Engineering Workshops.
[3] Egor V. Kostylev,et al. SPARQL with Property Paths , 2015, SEMWEB.
[4] Karl Aberer,et al. Enabling Query Technologies for the Semantic Sensor Web , 2012, Int. J. Semantic Web Inf. Syst..
[5] Georg Gottlob,et al. Expressive Languages for Querying the Semantic Web , 2018, TODS.
[6] Egor V. Kostylev,et al. CONSTRUCT Queries in SPARQL , 2015, ICDT.
[7] Marcelo Arenas,et al. Semantics and Complexity of SPARQL , 2006, International Semantic Web Conference.
[8] Tova Milo,et al. Towards Tractable Algebras for Bags , 1996, J. Comput. Syst. Sci..
[9] Claudio Gutiérrez,et al. The Expressive Power of SPARQL , 2008, SEMWEB.
[10] Andriy Nikolov,et al. Exploiting Linked Data Cubes with OpenCube Toolkit , 2014, International Semantic Web Conference.
[11] Anthony C. Klug. Equivalence of Relational Algebra and Relational Calculus Query Languages Having Aggregate Functions , 1982, JACM.
[12] Egor V. Kostylev,et al. On the Semantics of SPARQL Queries with Optional Matching under Entailment Regimes , 2014, SEMWEB.
[13] Sara Cohen. Containment of aggregate queries , 2005, SGMD.
[14] Efthimios Tambouris,et al. Processing Linked Open Data Cubes , 2015, EGOV.
[15] Jan Van den Bussche,et al. On the primitivity of operators in SPARQL , 2014, Inf. Process. Lett..
[16] Sara Cohen,et al. Equivalence of queries combining set and bag-set semantics , 2006, PODS '06.
[17] Nicole Schweikardt,et al. Arithmetic, first-order logic, and counting quantifiers , 2002, TOCL.
[18] Jürgen Umbrich,et al. Strategies for Executing Federated Queries in SPARQL1.1 , 2014, SEMWEB.
[19] Limsoon Wong,et al. Query Languages for Bags and Aggregate Functions , 1997, J. Comput. Syst. Sci..
[20] Hamid Pirahesh,et al. Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals , 1996, Data Mining and Knowledge Discovery.
[21] Claudio Gutiérrez,et al. Subqueries in SPARQL , 2011, AMW.
[22] Torben Bach Pedersen,et al. Using Semantic Web Technologies for Exploratory OLAP: A Survey , 2015, IEEE Transactions on Knowledge and Data Engineering.
[23] Leonid Libkin,et al. Logics with counting and local properties , 2000, TOCL.
[24] François Goasdoué,et al. RDF analytics: lenses over semantic graphs , 2014, WWW.
[25] Limsoon Wong,et al. Query languages for bags: expressive power and complexity , 1996, SIGA.
[26] Werner Nutt,et al. Rewriting queries with arbitrary aggregation functions using views , 2006, TODS.
[27] Sara Cohen,et al. Equivalence of queries that are sensitive to multiplicities , 2009, The VLDB Journal.
[28] Claudio Gutiérrez,et al. Negation in SPARQL , 2016, AMW.
[29] Lorena Etcheverry,et al. Enhancing OLAP Analysis with Web Cubes , 2012, ESWC.
[30] Jan Van den Bussche,et al. On the Power of SPARQL in Expressing Navigational Queries , 2015, Comput. J..
[31] Marcelo Arenas,et al. Querying semantic web data with SPARQL , 2011, PODS.
[32] Tim Berners-Lee,et al. Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..
[33] Marcelo Arenas,et al. Counting beyond a Yottabyte, or how SPARQL 1.1 property paths will prevent adoption of the standard , 2012, WWW.
[34] Óscar Corcho,et al. Federating queries in SPARQL 1.1: Syntax, semantics and evaluation , 2013, J. Web Semant..
[35] E. Prud hommeaux,et al. SPARQL query language for RDF , 2011 .
[36] Lauri Hella,et al. Logics with aggregate operators , 1999, Proceedings. 14th Symposium on Logic in Computer Science (Cat. No. PR00158).
[37] Egor V. Kostylev,et al. On Expressibility of Non-Monotone Operators in SPARQL , 2016, KR.
[38] Torben Bach Pedersen,et al. Processing Aggregate Queries in a Federation of SPARQL Endpoints , 2015, ESWC.
[39] Jiawei Han,et al. Graph cube: on warehousing and OLAP multidimensional networks , 2011, SIGMOD '11.
[40] Axel Polleres,et al. On the relation between SPARQL1.1 and Answer Set Programming , 2013, J. Appl. Non Class. Logics.
[41] Reinhard Pichler,et al. Towards Reconciling SPARQL and Certain Answers , 2015, WWW.
[42] Limsoon Wong,et al. New techniques for studying set languages, bag languages and aggregate functions , 1994, PODS '94.
[43] Daniele Braga,et al. C-SPARQL: a Continuous Query Language for RDF Data Streams , 2010, Int. J. Semantic Comput..
[44] Egor V. Kostylev,et al. Semantics and Expressive Power of Subqueries and Aggregates in SPARQL 1.1 , 2016, WWW.
[45] Jennifer Widom,et al. Database Systems: The Complete Book , 2001 .
[46] Werner Nutt,et al. Deciding equivalences among conjunctive aggregate queries , 2007, JACM.
[47] Leonid Libkin. Expressive Power of SQL , 2001, ICDT.
[48] Wim Martens,et al. The complexity of evaluating path expressions in SPARQL , 2012, PODS '12.
[49] Jie Li,et al. Optimization of Analytic Window Functions , 2012, Proc. VLDB Endow..
[50] Stefan Decker,et al. SAFE: Policy Aware SPARQL Query Federation Over RDF Data Cubes , 2014, SWAT4LS.
[51] Sebastian Rudolph,et al. EP-SPARQL: a unified language for event processing and stream reasoning , 2011, WWW.
[52] Michael Schmidt,et al. Foundations of SPARQL query optimization , 2008, ICDT '10.
[53] Michael Zakharyaschev,et al. Answering SPARQL Queries over Databases under OWL 2 QL Entailment Regime , 2014, SEMWEB.