Indexing temporal RDF graph
Time data can be found in various real-world applications and different models have been proposed to model temporal information. With the wide utilization of the Web and the availability of massive Web resources, temporal Resource Description Framework (RDF) model has attracted more and more attenti...
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| Published in | Computing Vol. 101; no. 10; pp. 1457 - 1488 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Vienna
Springer Vienna
01.10.2019
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0010-485X 1436-5057 |
| DOI | 10.1007/s00607-019-00703-w |
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| Abstract | Time data can be found in various real-world applications and different models have been proposed to model temporal information. With the wide utilization of the Web and the availability of massive Web resources, temporal Resource Description Framework (RDF) model has attracted more and more attention. In this paper, we propose an index approach for temporal RDF graphs to effectively query massive temporal RDF data. We build the prefix path index for querying subjects of temporal RDF triples and the suffix index for querying objects of temporal RDF triples, respectively. Meanwhile, we use frequent elements to improve the efficiency of the index we proposed. We also adopt B-tree index to manage all elements of triples. Our index approach can support inserting and deleting temporal triples in temporal RDF graphs. Experimental results show that our index approach can efficiently process queries in temporal RDF graphs. |
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| AbstractList | Time data can be found in various real-world applications and different models have been proposed to model temporal information. With the wide utilization of the Web and the availability of massive Web resources, temporal Resource Description Framework (RDF) model has attracted more and more attention. In this paper, we propose an index approach for temporal RDF graphs to effectively query massive temporal RDF data. We build the prefix path index for querying subjects of temporal RDF triples and the suffix index for querying objects of temporal RDF triples, respectively. Meanwhile, we use frequent elements to improve the efficiency of the index we proposed. We also adopt B-tree index to manage all elements of triples. Our index approach can support inserting and deleting temporal triples in temporal RDF graphs. Experimental results show that our index approach can efficiently process queries in temporal RDF graphs. |
| Author | Zhao, Ping Yan, Li Ma, Zongmin |
| Author_xml | – sequence: 1 givenname: Li surname: Yan fullname: Yan, Li organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics – sequence: 2 givenname: Ping surname: Zhao fullname: Zhao, Ping organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics – sequence: 3 givenname: Zongmin orcidid: 0000-0001-7780-6473 surname: Ma fullname: Ma, Zongmin email: zongminma@nuaa.edu.cn organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics |
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| Cites_doi | 10.1017/S0269888916000217 10.1007/978-3-642-02121-3_25 10.1016/j.eswa.2014.01.027 10.1145/1367497.1367579 10.3233/IFS-151745 10.1109/TKDE.2007.34 10.1109/TKDE.2012.134 10.1109/ICDE.2011.5767956 10.1145/872757.872774 10.1007/s00778-007-0086-6 10.1109/26.662641 10.1109/SERA.2009.20 10.1109/TIME.2008.14 10.1007/11853107_12 10.1007/978-3-642-18472-7_8 10.1109/SCCC.2000.890392 10.1007/3-540-44469-6_31 10.1145/2619088 10.1145/1654988.1655003 10.1007/978-3-642-30284-8_34 10.1109/SKG.2005.100 |
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| Copyright | Springer-Verlag GmbH Austria, part of Springer Nature 2019 Computing is a copyright of Springer, (2019). All Rights Reserved. |
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| Keywords | Temporal RDF graph Frequent elements Suffix path B-tree Prefix path RDF |
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| References | Edelweiss N, Hubler PN, Moro MM (2000) A temporal database management system implemented on top of a conventional database. In: Proceedings of the XX international conference of the Chilean. IEEE, pp 58–67 Graefe G, Kuno H (2011) Modern B-tree techniques. In: Proceedings of the 2011 international conference on data engineering. IEEE Computer Society, pp 1370–1373 Lutz C, Wolter F, Zakharyashev M (2008) Temporal description logics: a survey. In: Proceedings of the 15th international symposium on temporal representation and reasoning. IEEE Computer Society, pp 3–14 Liu B, Hu B (2005) Path queries based RDF index. In: International conference on semantics. IEEE Computer Society, 2005 DBpedia. http://wiki.dbpedia.org/about. Accessed 5 May 2018 Matono A, Amagasa T, Yoshikawa M (2003) An indexing scheme for RDF and RDF schema based on suffix arrays, international conference on semantic web & databases. CEUR-WS.org, 2003 Hurtado C, Vaisman A (2006) Reasoning with temporal constraints in RDF. In: Proceedings of the 2006 international conference on principles and practice of semantic web reasoning. Springer, pp 164–178 Binthalab R, Eltazi N, Elsharkawi ME (2013) TMIX: temporal model for indexing XML documents. In: Proceedings of the 2013 ACS international conference on computer systems and applications. IEEE Computer Society, pp 1–8 Manola F, Miller E (2004) RDF primer. W3C recommendation. https://www.w3.org/TR/rdf-primer/. Accessed 5 May 2018 KimKMoonBKimHJRG-index: an RDF graph index for efficient SPARQL query processingExpert Syst Appl201441104596460710.1016/j.eswa.2014.01.027 LUBM. http://swat.cse.lehigh.edu/projects/lubm. Accessed 5 May 2018 Nørvåg K, Limstrand M, Myklebust L (2003) TeXOR: temporal XML database on an object-relational database system. In: Proceedings of the 5th international Andrei Ershov Memorial conference on perspectives of system informatics. Springer, pp 520–530 Pugliese A, Udrea O, Subrahmanian VS (2008) Scaling RDF with time. In: Proceedings of the 2008 international conference on world wide web. ACM, pp 605–614 TranTLadwigGRudolphSManaging structured and semistructured RDF data using structure indexesIEEE Trans Knowl Data Eng20132592076208910.1109/TKDE.2012.134 Zhang F, Wang X, Ma S (2009) Temporal XML indexing based on suffix tree. In: Proceedings of the 2009 ACIS international conference on software engineering research, management and applications. IEEE, pp 140–144 CamposRJatowtASurvey of temporal information retrieval and related applicationsACM Comput Surv201547215 WangFZanioloCZhouXArchIS: an XML-based approach to transaction-time temporal database systemsVLDB J20081761445146310.1007/s00778-007-0086-6 Tappolet J, Bernstein A (2009) Applied temporal RDF: Efficient temporal querying of RDF data with SPARQL. In: Proceedings of the 6th European semantic web conference. Springer, pp 308–322 GovTravk. https://www.govtrack.us/about. Accessed 5 May 2018 LinkedMDB. http://linkedmdb.org/. Accessed 5 May 2018 GutierrezCHurtadoCAVaismanAIntroducing time into RDFIEEE Trans Knowl Data Eng200719220721810.1109/TKDE.2007.34 Wang H, Wang H, Park S (2003) ViST: a dynamic index method for querying XML data by tree structures. ACM Sigmod International Conference on Management of Data. ACM, 2003 Amagasa T, Yoshikawa M, Uemura S (2000) A data model for temporal XML documents. In: Proceedings of the 11th international conference on database and expert systems applications. Springer, pp 334–344 Ahmed F, Hameed H, Shafiq MZ (2009) Using spatio-temporal information in API calls with machine learning algorithms for malware detection. In: Proceedings of the 2009 ACM workshop on security and artificial intelligence. ACM, pp 55–62 MaZCapretzMAMYanLStoring massive Resource Description Framework (RDF) data: a surveyKnowledge Engineering Review201631439141310.1017/S0269888916000217 O’Connor MJ, Das AK (2010) A lightweight model for representing and reasoning with temporal information in biomedical ontologies. In Proceedings of the third international conference on health informatics, DBLP, 2010, pp 90–97 Picalausa F, Luo Y, Fletcher GHL (2012) A structural approach to indexing triples. In; Proceedings of the 2012 international conference on the semantic web. Springer, pp 406–421 O’ConnorMartin J.DasAmar K.A Method for Representing and Querying Temporal Information in OWLBiomedical Engineering Systems and Technologies2011Berlin, HeidelbergSpringer Berlin Heidelberg9711010.1007/978-3-642-18472-7_8 Binthalab R, Eltazi N (2015) TOIX: temporal object indexing for XML documents. In: Proceedings of the 2015 international conference on database and expert systems applications. Springer, pp 235–249 Bio2RDF. https://github.com/bio2rdf/bio2rdf-scripts/wiki. Accessed 5 May 2018 Lexvo. http://www.lexvo.org/linkeddata/tutorial.html. Accessed 5 May 2018 RaleighGCCioffiJMSpatio-temporal coding for wireless communicationIEEE Trans Commun199846335736610.1109/26.662641 MaRZJiaXYChengJWAngrykRASPARQL queries on RDF with fuzzy constraints and preferencesJ Intell Fuzzy Syst201630118319510.3233/IFS-151745 Z Ma (703_CR29) 2016; 31 703_CR3 703_CR1 cr-split#-703_CR23.1 cr-split#-703_CR23.2 703_CR19 703_CR15 703_CR18 703_CR17 703_CR12 703_CR11 703_CR33 703_CR14 703_CR32 703_CR31 K Kim (703_CR2) 2014; 41 T Tran (703_CR24) 2013; 25 703_CR27 703_CR26 F Wang (703_CR13) 2008; 17 R Campos (703_CR25) 2015; 47 703_CR28 703_CR6 703_CR7 703_CR22 703_CR4 703_CR5 Martin J. O’Connor (703_CR10) 2011 703_CR8 GC Raleigh (703_CR9) 1998; 46 C Gutierrez (703_CR16) 2007; 19 703_CR21 RZ Ma (703_CR30) 2016; 30 703_CR20 |
| References_xml | – reference: Bio2RDF. https://github.com/bio2rdf/bio2rdf-scripts/wiki. Accessed 5 May 2018 – reference: Liu B, Hu B (2005) Path queries based RDF index. In: International conference on semantics. IEEE Computer Society, 2005 – reference: Edelweiss N, Hubler PN, Moro MM (2000) A temporal database management system implemented on top of a conventional database. In: Proceedings of the XX international conference of the Chilean. IEEE, pp 58–67 – reference: Hurtado C, Vaisman A (2006) Reasoning with temporal constraints in RDF. In: Proceedings of the 2006 international conference on principles and practice of semantic web reasoning. Springer, pp 164–178 – reference: GovTravk. https://www.govtrack.us/about. Accessed 5 May 2018 – reference: Pugliese A, Udrea O, Subrahmanian VS (2008) Scaling RDF with time. In: Proceedings of the 2008 international conference on world wide web. ACM, pp 605–614 – reference: MaZCapretzMAMYanLStoring massive Resource Description Framework (RDF) data: a surveyKnowledge Engineering Review201631439141310.1017/S0269888916000217 – reference: Manola F, Miller E (2004) RDF primer. W3C recommendation. https://www.w3.org/TR/rdf-primer/. Accessed 5 May 2018 – reference: LinkedMDB. http://linkedmdb.org/. Accessed 5 May 2018 – reference: O’ConnorMartin J.DasAmar K.A Method for Representing and Querying Temporal Information in OWLBiomedical Engineering Systems and Technologies2011Berlin, HeidelbergSpringer Berlin Heidelberg9711010.1007/978-3-642-18472-7_8 – reference: WangFZanioloCZhouXArchIS: an XML-based approach to transaction-time temporal database systemsVLDB J20081761445146310.1007/s00778-007-0086-6 – reference: Tappolet J, Bernstein A (2009) Applied temporal RDF: Efficient temporal querying of RDF data with SPARQL. In: Proceedings of the 6th European semantic web conference. Springer, pp 308–322 – reference: TranTLadwigGRudolphSManaging structured and semistructured RDF data using structure indexesIEEE Trans Knowl Data Eng20132592076208910.1109/TKDE.2012.134 – reference: LUBM. http://swat.cse.lehigh.edu/projects/lubm. Accessed 5 May 2018 – reference: Wang H, Wang H, Park S (2003) ViST: a dynamic index method for querying XML data by tree structures. ACM Sigmod International Conference on Management of Data. ACM, 2003 – reference: GutierrezCHurtadoCAVaismanAIntroducing time into RDFIEEE Trans Knowl Data Eng200719220721810.1109/TKDE.2007.34 – reference: Lexvo. http://www.lexvo.org/linkeddata/tutorial.html. Accessed 5 May 2018 – reference: O’Connor MJ, Das AK (2010) A lightweight model for representing and reasoning with temporal information in biomedical ontologies. In Proceedings of the third international conference on health informatics, DBLP, 2010, pp 90–97 – reference: Binthalab R, Eltazi N (2015) TOIX: temporal object indexing for XML documents. In: Proceedings of the 2015 international conference on database and expert systems applications. Springer, pp 235–249 – reference: Lutz C, Wolter F, Zakharyashev M (2008) Temporal description logics: a survey. In: Proceedings of the 15th international symposium on temporal representation and reasoning. IEEE Computer Society, pp 3–14 – reference: Matono A, Amagasa T, Yoshikawa M (2003) An indexing scheme for RDF and RDF schema based on suffix arrays, international conference on semantic web & databases. CEUR-WS.org, 2003 – reference: KimKMoonBKimHJRG-index: an RDF graph index for efficient SPARQL query processingExpert Syst Appl201441104596460710.1016/j.eswa.2014.01.027 – reference: Ahmed F, Hameed H, Shafiq MZ (2009) Using spatio-temporal information in API calls with machine learning algorithms for malware detection. In: Proceedings of the 2009 ACM workshop on security and artificial intelligence. 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| Title | Indexing temporal RDF graph |
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