RDF Serialization and Archival

Références bibliographiques

• Álvarez-García S, Brisaboa N, Fernández JD, Martínez-Prieto MA, Navarro G (2014) Compressed vertical partitioning for efficient RDF management. Knowl Inf Syst 44(2):439–474
• Apache Thrift (2017) Apache thrift. https://thrift.apache.org/
• Becket D (2014) RDF 1.1 N-Triples: a line-based syntax for an RDF graph. W3C recommendation. https://www.w3.org/TR/n-triples/
• Beckett D, Berners-Lee T, Prud’hommeaux E, Carothers G (2014) RDF 1.1 turtle: terse RDF triple language. W3C recommendation. https://www.w3.org/TR/turtle/
• Beek W, Rietveld L, Bazoobandi HR, Wielemaker J, Schlobach S (2014) LOD laundromat: a uniform way of publishing other people’s dirty data. In: 13th international semantic web conference (ISWC), pp 213–228
• Berners-Lee B, Connolly D (2011) Notation3 (N3): a readable RDF syntax. W3C team submission. https://www.w3.org/TeamSubmission/n3/
• Bizer C, Cyganiak R (2014) RDF 1.1 TriG: RDF dataset language. W3C recommendation. https://www.w3.org/TR/trig/
• Bizer C, Heath T, Berners-Lee T (2009) Linked data-the story so far. Int J Semant Web Inf Syst 5(3):1–22
• Brisaboa N, Cerdeira-Pena A, Farińa, Navarro G (2015) A compact RDF store using suffix arrays. In: 22nd international symposium on string processing and information retrieval (SPIRE), pp 103–115
• Carothers G (2014) RDF 1.1 N-Quads: A Line-based syntax for an RDF dataset. W3C recommendation. https://www.w3.org/TR/n-quads/
• Carroll J, Stickler P (2004) TriX : RDF triples in XML. Technical report, Digital Media Systems Laboratory, HP Laboratories Bristol
• Carroll JJ, Bizer C, Hayes P, Stickler P (2005) Named graphs, provenance and trust. In: Proceedings of the 14th international conference on World Wide Web. ACM, pp 613–622
• Cerdeira-Pena A, Farina A, Fernández JD, Martınez-Prieto MA (2016) Self-indexing RDF archives. In: Proceeding of DCC
• Cyganiak R, Wood D, Lanthaler M (2014) RDF 1.1 concepts and abstract syntax. W3C recommendation. http://www.w3.org/TR/2014/REC-rdf11-mt-20140225/
• de Sompel HV, Sanderson R, Nelson ML, Balakireva L, Shankar H, Ainsworth S (2010) An HTTP-based versioning mechanism for linked data. In: Proceeding of LDOW
• Dong-Hyuk I, Sang-Won L, Hyoung-Joo K (2012) A version management framework for RDF triple stores. Int J Softw Eng Know 22(1):85–106
• Fernández JD, Martínez-Prieto MA, Gutiérrez C, Polleres A (2011) Binary RDF representation for publication and exchange (HDT). W3C member submission. http://www.w3.org/Submission/HDT/
• Fernández JD, Martínez-Prieto MA, Gutiérrez C, Polleres A, Arias M (2013) Binary RDF representation for publication and exchange. J Web Semant 19:22–41
• Fernández JD, Llaves A, Corcho O (2014a) Efficient RDF interchange (ERI) format for RDF data streams. In: 13th international semantic web conference (ISWC), pp 244–259
• Fernández N, Arias J, Sánchez L, Fuentes-Lorenzo D, Corcho Ó (2014b) RDSZ: an approach for lossless RDF stream compression. In: 11th European conference on the semantic web (ESWC), pp 52–67
• Fernández JD, Martínez-Prieto MA, Polleres A, Reindorf J (2018) HDTQ: managing RDF datasets in compressed space. In: European semantic web conference
• Gandon F, Schreiber G (2014) RDF 1.1 XML syntax. W3C recommendation. https://www.w3.org/TR/rdf-syntax-grammar/
• Giménez-García JM, Zimmermann A, Maret P (2017) Ndfluents: an ontology for annotated statements with inference preservation. In: European semantic web conference. Springer, pp 638–654
• Graube M, Hensel S, Urbas L (2014) R43ples: revisions for triples. In: Proceeding of LDQ, vol CEUR-WS 1215, paper 3
• Gutierrez C, Hurtado C, Vaisman A (2007) Introducing time into RDF. IEEE Trans Knowl Data Eng 19(2):207–218
• Hartig O (2017) Foundations of RDF* and SPARQL* – an alternative approach to statement-level metadata in RDF. In: Proceeding of AMW
• Hasemann H, Kroller A, Pagel M (2012) RDF provisioning for the internet of things. In: 3rd international conference on the internet of things (IOT), pp 143–150
• Iannone L, Palmisano I, Redavid D (2005) Optimizing RDF storage removing redundancies: an algorithm. In: 18th international conference on industrial and engineering applications of artificial intelligence and expert systems (IEA/AIE), pp 732–742
• Joshi A, Hitzler P, Dong G (2013) Logical linked data compression. In: 10th extended semantic Web conference (ESWC), pp 170–184
• Karim F, Vidal ME, Auer S (2017) Efficient processing of semantically represented sensor data. In: 13th international conference on Web information systems and technologies (WEBIST), pp 252–259
• Klein M, Fensel D, Kiryakov A, Ognyanov D (2002) Ontology versioning and change detection on the Web. In: Proceeding of EKAW, pp 197–212
• Lhez J, Ren X, Belabbess B, Curé O (2017) A compressed, inference-enabled encoding scheme for RDF stream processing. In: 14th European conference on the semantic Web (ESWC), pp 79–93
• Lóscio BF, Burle C, Calegari N (2017) Data on the web best practices. W3C recommendation 31 Jan 2017
• Meier M (2008) Towards rule-based minimization of RDF graphs under constraints. In: 2nd international conference on web reasoning and rule systems (RR), pp 89–103
• Meinhardt P, Knuth M, Sack H (2015) Tailr: a platform for preserving history on the web of data. In: Proceeding of SEMANTiCS. ACM, pp 57–64
• Neumann T, Weikum G (2010) x-RDF-3X: fast querying, high update rates, and consistency for RDF databases. Proc VLDB Endow 3(1–2):256–263
• Nguyen V, Bodenreider O, Sheth A (2014) Don’t like RDF reification? Making statements about statements using singleton property. In: Proceedings of the 23rd international conference on World Wide Web. ACM, pp 759–770
• Noy NF, Musen MA (2004) Ontology versioning in an ontology management framework. IEEE Intell Syst 19(4):6–13. https://doi.org/10.1109/MIS.2004.33
• Noy N, Rector A, Hayes P, Welty C (2006) Defining n-ary relations on the semantic web. W3C working group note 12(4)
• RDF Binary (2017) RDF binary using apache thrift. https://jena.apache.org/documentation/io/rdf-binary.html
• RDF4j (2017) Rdf4j binary RDF format. http://docs.rdf4j.org/rdf4j-binary/
• Schneider J, Kamiya T, Peintner D, Kyusakov R (2014) Efficient XML interchange (EXI) Format 1.0. W3C recommendation
• Schreiber G, Raimond Y (2014) RDF 1.1 primer. W3C working group note. https://www.w3.org/TR/rdf11-primer/
• Sporny M, Longley D, Kellogg G, Lanthaler M, Lindström N (2014) JSON-LD 1.0: a JSON-based serialization for linked data. W3C recommendation. https://www.w3.org/TR/json-ld/
• Stefanidis K, Chrysakis I, Flouris G (2014) On designing archiving policies for evolving RDF datasets on the Web. In: Proceeding of ER, pp 43–56
• Swacha J, Grabowski S (2015) OFR: an efficient representation of RDF datasets. In: 4th symposium on languages, applications and technologies (SLATE), pp 224–235
• Vander Sander M, Colpaert P, Verborgh R, Coppens S, Mannens E, Van de Walle R (2013) R&Wbase: git for triples. In: Proceeding of LDOW
• Venkataraman G, Sreenivasa Kumar P (2015) Horn-rule based compression technique for RDF data. In: 30th annual ACM symposium on applied computing (SAC), pp 396–401
• Verborgh R, Vander Sande M, Hartig O, Van Herwegen J, De Vocht L, De Meester B, Haesendonck G, Colpaert P (2016) Triple pattern fragments: a low-cost knowledge graph interface for the Web. J Web Semant 37–38: 184–206
• Volkel M, Winkler W, Sure Y, Kruk S, Synak M (2005) Semversion: a versioning system for RDF and ontologies. In: Proceeding of ESWC
• Zaniolo SGJGC (2016) RDF-TX: a fast, user-friendly system for querying the history of RDF knowledge bases. In: Proceeding of EDBT
• Zeginis D, Tzitzikas Y, Christophides V (2011) On computing deltas of RDF/S knowledge bases. ACM Trans Web (TWEB) 5(3):14
• Zimmermann A, Lopes N, Polleres A, Straccia U (2012) A general framework for representing, reasoning and querying with annotated semantic Web data. JWS 12:72–95