6. Evaluation
7.4. Final Remarks
It is hoped by the author of this thesis that SUMMR, a methodology that supports performing all the mapping maintenance and reuse use cases and tasks, discovered and derived from the state of the art review in this thesis will be of benefit to the research community. The taxonomy of tasks and use cases will be useful for other researchers who wish to design an approach for mapping maintenance and reuse as it indicates what an approach should support. Researchers could also contribute to the taxonomy with new mapping maintenance and reuse use cases they may encounter in the future - further enriching it for additional researchers. SUMMR’s functionality (as a whole or aspects of it) could also be adopted as part of larger frameworks which require the maintenance or reuse of mappings in some way.
It is also hoped that SUMMR will be of benefit to the providers and maintainers of Linked Data datasets through the adoption of SUMMR (as a whole or aspects of). SUMMR has been shown to be beneficial to the DBpedia dataset through the use of the SUMMR Interlink Validation Tool. The SUMMR Interlink Validation Tool is a free, open-source tool, which can be used for any Linked Data dataset for interlink category mapping validation. It is available for the providers and maintainers of Linked Data datasets to gain the benefit, of interlink category mapping validation that SUMMR offers.
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References
[Ah13] Ahlers, D. "Assessment of the accuracy of GeoNames gazetteer data." In
Proceedings of the 7th Workshop on Geographic Information Retrieval, pp. 74-81. ACM, 2013.
[Al09] Alexander, K. and Hausenblas, M. "Describing linked datasets-on the design
and usage of void, the vocabulary of interlinked datasets." In Linked Data on the Web Workshop (LDOW 09), in conjunction with 18th International
World Wide Web Conference (WWW 09. 2009.
[Ap16] The Apache Software Foundation. “Reasoners and rule engines: Jena
inference support” [Online]. Available:
https://jena.apache.org/documentation/inference/ [Accessed: 15-December- 2016].
[Au05] Aumueller, D., Do, H., Massmann, S. and Rahm, E. "Schema and ontology matching with COMA++." In Proceedings of the 2005 ACM SIGMOD international conference on Management of data, pp. 906-908. ACM, 2005.
[Bi08] Bizer, C., Heath, T., Idehen, Kingsley, and Berners-Lee, T. "Linked data on
the web (LDOW2008)." In Proceedings of the 17th international conference
on World Wide Web, pp. 1265-1266. ACM, 2008.
[Bi09] Bizer, C., Heath, T. and Berners-Lee, T. "Linked data-the story so far."Semantic Services, Interoperability and Web Applications: Emerging Concepts (2009): 205-227.
[Bi10] Bizer, C. and Schultz, A. "The R2R Framework: Publishing and Discovering Mappings on the Web." In 1st International Workshop on Consuming Linked Data (COLD2010), Shanghai, China, November, 2010. [Bi12] Bischof, S., Decker, S., Krennwallner, T., Lopes, N. and Polleres, A.
"Mapping between RDF and XML with XSPARQL."Journal on Data Semantics 1, no. 3 (2012): 147-185.
[Bo09] Bollacker, K., Evans, C., Paritosh, P., Sturge, T. and Taylor, J. "Freebase: a collaboratively created graph database for structuring human knowledge." InProceedings of the 2008 ACM SIGMOD international conference on Management of data, pp. 1247-1250. ACM, 2008.
[Bo10] Boran, A., O'Sullivan, D. and Wade, V. "Managing ontology based integration systems using dependencies." In Pervasive Computing and
140
Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on, pp. 165-170. IEEE, 2010.
[Ca04] Carroll, J., Dickinson, I., Dollin, C., Reynolds, D., Seaborne, A. and Wilkinson, K. "Jena: implementing the semantic web recommendations." In
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters, pp. 74-83. ACM, 2004.
[Co15] Corby, O., Faron-Zucker, C. and Gandon, F. "A generic RDF transformation software and its application to an online translation service for common languages of linked data." In The 14th International Semantic Web Conference. 2015.
[Da12] Das, S., Sundara, S. and Cyganiak, R. “R2RML: RDB to RDF Mapping Language” (2012) Available: http://www.w3.org/TR/r2rml/ [Accessed: 25- January-2017].
[Da11] David, J., Euzenat, J., Scharffe, F. and Trojahn dos Santos, C. "The alignment API 4.0." Semantic web 2, no. 1 (2011): 3-10.
[Dc12] DCMI Usage Board. “DCMI Metadata Terms.” (2012). [Online]. Available: http://dublincore.org/documents/dcmi-terms/ [Accessed: 18-September- 2016].
[De15] Debruyne, C., Walshe, B. and O'Sullivan, D. "Towards a project centric metadata model and lifecycle for ontology mapping governance." InProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, p. 50. ACM, 2015. [De16] Debruyne, C., Clinton, E., McNerney, L., Nautiyal, Atul. and O’Sullivan, D.
"Serving Ireland's Geospatial Information as Linked Data." In ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (2016).
[Di04] Ding, L, Finin, T., Joshi, A., Pan, R., Scott Cost, R., Peng, Y., Reddivari, P., Doshi, V. and Sachs, J. "Swoogle: a search and metadata engine for the semantic web." In Proceedings of the thirteenth ACM international conference on Information and knowledge management, pp. 652-659. ACM, 2004.
[Di14] Dimou, A., Vander Sande, M., Colpaert, P., Verborgh, R., Mannens, E. and Van de Walle, R. "RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data." In LDOW. 2014.
141
[Do12] Dos Reis, J. C., Pruski, C., Da Silveira, M. and Reynaud-Delaître, C. "Analyzing and supporting the mapping maintenance problem in biomedical knowledge organization systems." In Proc. of the Workshop on Semantic Interoperability in Medical Informatics collocated with the 9th Extended Semantic Web Conference, pp. 25-36. 2012.
[Do15] Dos Reis, J. C., Pruski, C., and Reynaud-Delaître, C. "State-of-the-art on mapping maintenance and challenges towards a fully automatic approach." Expert Systems with Applications 42, no. 3 (2015): 1465-1478.
[Do15a] Dos Reis, J. C., Pruski, C., Da Silveira, M. and Reynaud-Delaître, C. "DyKOSMap: A framework for mapping adaptation between biomedical knowledge organization systems." Journal of biomedical informatics55 (2015): 153-173.
[Eu04] Euzenat, J. "An API for ontology alignment." In International Semantic Web Conference, pp. 698-712. Springer Berlin Heidelberg, 2004.
[Eu07] Euzenat, J. and Shvaiko, P. Ontology matching. Vol. 18. Heidelberg: Springer, 2007.
[Eu08] Euzenat, J., Polleres, A. and Scharffe, F. "Processing ontology alignments with SPARQL." InComplex, Intelligent and Software Intensive Systems, 2008. CISIS 2008. International Conference on, pp. 913-917. IEEE, 2008. [Eu13] Euzenat, J. and Shvaiko, P. "Classifications of ontology matching
techniques." In Ontology Matching, pp. 73-84. Springer Berlin Heidelberg, 2013.
[Fa11] Falconer, S., and Noy, N. "Interactive techniques to support ontology matching." In Schema Matching and Mapping, pp. 29-51. Springer Berlin Heidelberg, 2011.
[Fa14] Fafalios, P. Papadakos, P. "Theophrastus: On demand and real-time automatic annotation and exploration of (web) documents using open linked data."Web Semantics: Science, Services and Agents on the World Wide Web 29 (2014): 31-38.
[Gi13] Gillet, P., Trojahn, C., Haemmerlé, O. and Pradel, C. "Complex correspondences for query patterns rewriting." In OM, pp. 49-60. 2013.
[Gr11] Gross, A., Hartung, M., Kirsten, T. and Rahm, E. "Mapping Composition
142
[Gu16] Guclu, I., Bobed, C., Pan, J., Kollingbaum, M. and Li, Y. F. "How Can Reasoner Performance of ABox Intensive Ontologies Be Predicted?" InJoint International Semantic Technology Conference, pp. 3-14. Springer International Publishing, 2016.
[Ha13a] Harris, S., Seaborne, A. and Prud’hommeaux, E. "SPARQL 1.1 query language." W3C Recommendation 21 (2013).
[Ha13] Hartung, M., Groß, A. and Rahm, E. "COnto–Diff: generation of complex evolution mappings for life science ontologies." Journal of biomedical informatics 46, 1 (2013): 15-32.
[Ha09] Hassanzadeh, O. and Consens, M. P. "Linked Movie Data Base." In LDOW. 2009.
[Ho04] Horrocks, I., Patel-Schneider, P., Boley, H., Tabet, S., Grosof, B. and Dean, M. "SWRL: A semantic web rule language combining OWL and RuleML."
W3C Member submission 21 (2004).
[Ie00] The Authoritative Dictionary of IEEE Standards Terms, Seventh Edition," in IEEE Std 100-2000 , vol., no., pp.1-1362, Dec. 11 2000 doi: 10.1109/IEEESTD.2000.322230
[Je11] Jentzsch, A., Cyganiak, R. and Bizer, B. “State of the LOD Cloud. Version 0.3, 09/19/2011” [Online] Available: http://lod-cloud.net/state/ [Accessed: 14-June-2016].
[Ji11] Jiménez-Ruiz, E. and Cuenca Grau, B. "Logmap: Logic-based and scalable ontology matching." In International Semantic Web Conference, pp. 273- 288. Springer Berlin Heidelberg, 2011.
[Kh15] Khattak, A. M., Pervez, Z., Khan, W. A., Khan, A. M., Latif, K. and Lee, S. Y. "Mapping evolution of dynamic web ontologies." Information Sciences (2015).
[Ki11] Kirsten, T, Gross, A., Hartung, A. and Rahm, E. "GOMMA: a component- based infrastructure for managing and analyzing life science ontologies and their evolution." Journal of biomedical semantics 2, no. 1 (2011): 1.
[Kn11] Knublauch, H., Hendler, J. A. and Idehen, K. “SPIN - Overview and Motivation. W3C Member Submission 22 February 2011” [Online] Available: https://www.w3.org/Submission/spin-overview/ [Accessed: 17- August-2016].
[Ko14] Kontokostas, D., Westphal, P., Auer, S., Hellmann, S., Lehmann, J., Cornelissen, R. and Zaveri, A. "Test-driven evaluation of linked data
143
quality." In Proceedings of the 23rd international conference on World Wide Web, pp. 747-758. ACM, 2014.
[Ko13] Kovalenko, O., Debruyne, C., Serral, E. and Biffl, S. "Evaluation of Technologies for Mapping Representation in Ontologies." In On the Move to Meaningful Internet Systems: OTM 2013 Conferences, pp. 564-571. Springer Berlin Heidelberg, 2013.
[Le15] Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P. N., Hellmann, S. et al. "DBpedia–a large-scale, multilingual knowledge base extracted from Wikipedia." Semantic Web 6, no. 2 (2015): 167-195.
[Li11] Li, X. and Chow, R. "Reuse-oriented mapping discovery for meta-querier customization." InInternational Conference on Database and Expert Systems Applications, pp. 78-93. Springer Berlin Heidelberg, 2011.
[Ma06] Matuszek, C., Cabral, J., Witbrock, M. J., and DeOliveira, J. "An Introduction to the Syntax and Content of Cyc." In AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, pp. 44- 49. 2006.
[Mc05] McCann, R., AlShebli, B., Le, Q., Nguyen, H., Vu, L. and Doan, A. "Mapping maintenance for data integration systems." In Proceedings of the 31st international conference on Very large data bases, pp. 1018-1029. VLDB Endowment, 2005.
[Mc04] McGuinness, D., L., and Harmelen, F. "OWL web ontology language overview." W3C recommendation 10, no. 10 (2004): 2004.
[Mi95] Miller, G. A. "WordNet: a lexical database for English." Communications of the ACM 38, no. 11 (1995): 39-41.
[Mi13] Missier, P., Belhajjame, K., and Cheney, J. "The W3C PROV family of specifications for modelling provenance metadata." In Proceedings of the 16th International Conference on Extending Database Technology, pp. 773- 776. ACM, 2013.
[Mo09] Motik, B., Patel-Schneider, P., Parsia, B., Bock, C., Fokoue, A., Haase, P., Hoekstra, R. et al. "Owl 2 web ontology language: Structural specification and functional-style syntax." W3C recommendation 27, no. 65 (2009): 159. [Ne14] Nentwig, M., Soru, T., Ngonga Ngomo, A, and Rahm, E. "LinkLion: A
Link Repository for the Web of Data." In The Semantic Web: ESWC 2014 Satellite Events, pp. 439-443. Springer International Publishing, 2014.
144
[Ne16] Neto, C. B., Kontokostas, D., Hellmann, H., Müller, K. and Brümmer, M. "Assessing Quantity and Quality of Links Between Linked Data Datasets." LDOW2016 (2016).
[No08] Noy, N.F., Griffith, N. and Musen, M.A. "Collecting community-based mappings in an ontology repository." In International Semantic Web Conference, pp. 371-386. Springer Berlin Heidelberg, 2008.
[Oa17] Ontology Alignment Evaluation Initiative “Ontology Alignment Evaluation
Initiative - Home page” [Online]. Available:
http://oaei.ontologymatching.org/ [Accessed: 10-June-2017].
[Ot14] Otero-Cerdeira, L., Rodríguez-Martínez, F. J. and Gómez Rodríguez, A. "Ontology Matching: A Literature Review." Expert Systems with Applications, 2014.
[Pa09] Pan, J., Z. "Resource description framework." In Handbook on Ontologies, pp. 71-90. Springer Berlin Heidelberg, 2009.
[Po11] Popitsch, N. and Haslhofer, B. "DSNotify–A solution for event detection and link maintenance in dynamic datasets." Web Semantics: Science, Services and Agents on the World Wide Web 9, no. 3 (2011): 266-283. [Ra11] Rahm, E. "Towards large-scale schema and ontology matching." In Schema
matching and mapping, pp. 3-27. Springer Berlin Heidelberg, 2011.
[Ra12] Rahoman, M. and Ichise, R. "An automated template selection framework for keyword query over linked data." In Joint International Semantic Technology Conference, pp. 175-190. Springer Berlin Heidelberg, 2012.
[Ru16] RuleML Inc. “RuleML Home” [Online]. Available:
http://wiki.ruleml.org/index.php/RuleML_Home [Accessed: 15-December- 2016].
[Sc08] Scharffe, F., Euzenat, E. and Fensel, D. "Towards design patterns for ontology alignment." In Proceedings of the 2008 ACM symposium on Applied computing, pp. 2321-2325. ACM, 2008.
[Sc09] Scharffe, F. “Correspondence Patterns Representation.” PhD thesis, University of Innsbruck, 2009.
[Sc12] Schultz, A., Matteini, A., Isele, R., Bizer, C. and Becker, C. “LDIF-Linked Data Integration Framework for Large-Scale Linked Data Integration.” In
145
21st International World Wide Web Conference (WWW2012), Lyon, France, 2012.
[Sc14] Schmachtenberg, Max, Bizer, C. and Paulheim, H. "Adoption of the linked data best practices in different topical domains." In The semantic web–ISWC 2014, pp. 245-260. Springer International Publishing, 2014.
[Sc14a] Schweiger, D., Trajanoski, Z. and Pabinger, S. "SPARQLGraph: a web- based platform for graphically querying biological Semantic Web databases." BMC bioinformatics 15, no. 1 (2014): 279.
[Sh05] Shvaiko, P. and Euzenat, J. "A survey of schema-based matching approaches." In Journal on data semantics IV, pp. 146-171. Springer Berlin Heidelberg, 2005.
[Sh13] Shvaiko, P. and Euzenat, J. "Ontology matching: state of the art and future challenges." Knowledge and Data Engineering, IEEE Transactions on 25, no. 1, 158-176, 2013.
[St12] Stadler, C., Lehmann, J., Höffner, K. and Auer, S. "Linkedgeodata: A core for a web of spatial open data." Semantic Web 3, no. 4 (2012): 333-354. [Su07] O'Sullivan, D., Wade, V. and Lewis, D. "Understanding as we roam."
Internet Computing, IEEE 11, no. 2 (2007): 26-33.
[Su07b] Suchanek, F. M., Kasneci, G. and Weikum, G. "Yago: a core of semantic knowledge." In Proceedings of the 16th international conference on World Wide Web, pp. 697-706. ACM, 2007.
[Th11] Thomas, H., Brennan, R. and O'Sullivan, D. "MooM--a prototype framework for management of ontology mappings." In Advanced Information Networking and Applications (AINA), 2011 IEEE International Conference on, pp. 548-555. IEEE, 2011.
[Th13] Thomas, H., Brennan, R. and O’Sullivan, D. "Using the OM 2 R Meta-Data Model for Ontology Mapping Reuse for the Ontology Alignment Challenge–a Case Study." Ontology Matching (2012): 61
[To17] TopQuadrant “TopBraid Composer Standard Edition” [Online]. Available: http://www.topquadrant.com/tools/modeling-topbraid-composer-standard- edition/ [Accessed: 01-Feburary-2017].
[Um10] Umbrich, J, Hausenblas, M., Hogan, A., Polleres, A. and Decker, S. "Towards dataset dynamics: Change frequency of linked open data sources."
146
In Proceedings of the Linked Data on the Web Workshop (LDOW2010),
Raleigh, North Carolina, USA, April 27, 2010.
[Vo09] Volz, J., Bizer, C., Gaedke, M. and Kobilarov, G. “Discovering and maintaining links on the web of data”. In International Semantic Web Conference, pp. 650-665. Springer Berlin Heidelberg, 2009.
[We98] Weibel, S., Kunze, J., Lagoze, C. and Wolf, M. Dublin core metadata for resource discovery. No. RFC 2413. 1998.
[Zh06] Zhdanova, A. V. and Shvaiko, P. "Community-driven ontology matching." In European Semantic Web Conference, pp. 34-49. Springer Berlin Heidelberg, 2006.
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Appendix A. SUMMR Use Case Template Examples
In Chapter 5, two examples of SUMMR use case templates were provided. These examples were of SUMMR Use Case Templates 1 and 5. In this appendix, examples of the remaining four SUMMR use case templates are provided.
SUMMR Use Case Template 2:
Figure A-1 displays an example of SUMMR Use Case Template 2 specialised for SCMR. This template is concerned returning the source and target properties and any transformation properties of SCMR vocabulary transformation category mappings that adhere to certain search criteria. The criteria that needs to be specified in this example template are specified in the $SEARCH_CRITERIA variable. The $SEARCH_CRITERIA variable will be a string. The idea is that a keyword will be specified in this variable so existing mapping that contain that keyword within their source and target properties can be discovered so that the source and target properties and any transformation properties of the mappings can be returned.
01: PREFIX sp: <http://spinrdf.org/sp#>
02: PREFIX scmr: <https://www.scss.tcd.ie/~meehanal/scmr>
03: SELECT ?source_properties ?target_properties
?transformation_info
04: WHERE { ?mapping scmr:spinRepresentation ?rep.
05: ?rep sp:where/rdf:rest*/rdf:first ?s. 06: ?rep sp:templates/rdf:rest*/rdf:first ?t. 07: OPTIONAL {?rep sp:where/rdf:rest*/(rdf:first)/(sp:expression|sp:arg1|sp:ar g2|sp:arg3)*/(a*) ?trans. 08: ?trans ?pt ?transformation_info . } 09: ?s ?p ?source_properties. 10: ?t ?p1 ?target_properties.
11: FILTER( REGEX( STR(?source_properties) ,
$SEARCH_CRITERIA ) || REGEX( STR(?target_properties) ,
$SEARCH_CRITERIA ) ) }
Figure A-1. Example of SUMMR Use Case Template 2 specialised for SCMR. SUMMR Use Case Template 3:
Figure A-2 displays an example of SUMMR Use Case Template 3 specialised for SCMR. This template is concerned with discovering mapping paths within SCMR vocabulary transformation category mappings. The template will return the source properties of one set of mappings and the target properties of another set of mappings where a mapping paths have been discovered between the two sets of mappings. The
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returned source and target properties can then be used to create new mappings. The criteria that need to be specified in this example template are specified in two variables.
The $SOURCE_DATASET_DOMAIN and the $TARGET_DATASET_DOMAIN
variables will both be stings, indicating the domain URI of the source and target that mapping paths are to be discovered for.
01: PREFIX sp: <http://spinrdf.org/sp#>
02: PREFIX scmr: <https://www.scss.tcd.ie/~meehanal/scmr> 03: SELECT ?source ?target
04: WHERE {?mapping scmr:spinRepresentation ?rep.
05: ?rep sp:where/rdf:rest*/rdf:first ?s.
06: ?s ?p ?source.
07: FILTER ( REGEX( STR(?source), $SOURCE_DATASET_DOMAIN ))
08: ?rep sp:templates/rdf:rest*/rdf:first ?t.
09: ?t ?p1 ?intermediate_dataset.
10: ?mapping1 scmr:spinRepresentation ?rep1.
11: ?rep1 sp:templates/rdf:rest*/rdf:first ?t1.
12: ?t1 ?p2 ?target.
13: FILTER ( REGEX( STR(?target), $TARGET_DATASET_DOMAIN ))
14: ?rep1 sp:where/rdf:rest*/rdf:first ?s1.
15: ?s1 ?p3 ?intermediate_dataset1.
16: FILTER(?intermediate_dataset = ?intermediate_dataset1)}
Figure A-2. Example of SUMMR Use Case Template 3. SUMMR Use Case Template 4:
Figure A-3 displays an example of SUMMR Use Case Template 3 specialised for SCMR. This template is concerned with discovering back links in SCMR interlink category mappings. The template will first discover interlink category mappings between a source and target dataset, then it will return the source and target properties in reverse order so the target properties can be used as a new source and the source properties can be used as a new target for new interlink category mappings. The criteria that need to be specified in this example template are specified in two variables. The
$SOURCE_DATASET_DOMAIN and the $TARGET_DATASET_DOMAIN
variables will both be stings, indicating the domain URI of the source and target that interlink category mappings that are to be discovered.
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01: PREFIX sp: <http://spinrdf.org/sp#>
02: PREFIX scmr: <https://www.scss.tcd.ie/~meehanal/scmr> 03: SELECT ?new_source ?new_target
04: WHERE { ?mapping scmr:spinRepresentation ?rep.
05: ?rep sp:where/rdf:rest*/rdf:first ?prop.
06: ?prop sp:object ?new_source.
07: ?prop sp:subject ?new_target.
08: FILTER( REGEX( STR(?new_target) ,
$SOURCE_DATASET_DOMAIN ) && REGEX( STR(?new_source) ,
$TARGET_DATASET_DOMAIN ) )
Figure A-3. Example of SUMMR Use Case Template 4. SUMMR Use Case Template 6:
Figure A-4 displays an example of SUMMR Use Case Template 6 specialised for SCMR. SUMMR Use Case Template 6 is identical to SUMMR Task Template 5 as it only contains one mapping maintenance and reuse task – task 5 which is alteration of a mapping. This template is concerned with changing a property in a vocabulary transformation category mapping. In this template, the criteria to specify is the mapping identifier specified as the variable $MAP_ID. The remaining criteria to specify is the property to delete, specified as variable $MAPPING_PROPERTY_TO_DELETE
and the property to insert, specified by the variable
$MAPPING_PROPERTY_TO_INSERT. All variables in this template will be URIs.
01: PREFIX sp: <http://spinrdf.org/sp#>
02: PREFIX scmr: <https://www.scss.tcd.ie/~meehanal/scmr> 03: DELETE {?map_props ?b1 $MAPPING_PROPERTY_TO_DELETE. ?rep scmr:sparqlQuery ?query. }
04: INSERT {?map_props ?b1 $MAPPING_PROPERTY_TO_INSERT. ?rep scmr:sparqlQuery ?new_query}
05: WHERE { $MAP_ID scmr:SpinRepresentation ?rep .
06: ?rep scmr:sparqlQuery ?query.
07: BIND(( REPLACE( ?query, $MAPPING_PROPERTY_TO_DELETE,
$MAPPING_PROPERTY_TO_INSERT )) AS ?new_query )
08: {?rep sp:templates/rdf:rest*/rdf:first ?map_props.}
09: UNION {?rep sp:where/rdf:rest*/rdf:first ?map_props.}
10: ?map_props ?b1 $MAPPING_PROPERTY_TO_DELETE. } Figure A-4. Example of SUMMR Use Case Template 6.
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