Abstract
Enriching scholarly data with metadata enhances the publications’ meaning. Unfortunately, different publishers of overlapping or complementary scholarly data neglect general-purpose solutions for metadata and instead use their own ad-hoc solutions. This leads to duplicate efforts and entails non-negligible implementation and maintenance costs. In this paper, we propose a reusable Linked Data publishing workflow that can be easily adjusted by different data owners to (i) generate and publish Linked Data, and (ii) align scholarly data repositories with enrichments over the publications’ content. As a proof-of-concept, the proposed workflow was applied to the iMinds research institute data warehouse, which was aligned with publications’ content derived from Ghent University’s digital repository. Moreover, we developed a user interface to help lay users with the exploration of the iLastic Linked Data set. Our proposed approach relies on a general-purpose workflow. This way, we manage to reduce the development and maintenance costs and increase the quality of the resulting Linked Data.
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References
Bagnacani, A., Ciancarini, P., Di Iorio, A., Nuzzolese, A.G., Peroni, S., Vitali, F.: The semantic lancet project: a linked open dataset for scholarly publishing. In: Lambrix, P. (ed.) EKAW 2014. LNCS (LNAI), vol. 8982, pp. 101–105. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-17966-7_10
Bahar, S., Witte, R.: Semantic representation of scientific literature: bringing claims, contributions and named entities onto the linked open data cloud. PeerJ Comput. Sci. 1, e37 (2015)
Bardi, A., Manghi, P.: Enhanced publication management systems: a systemic approach towards modern scientific communication. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015 Companion, pp. 1051–1052. ACM (2015)
Camarda, D.V., Mazzini, S., Antonuccio, A.: LodLive, exploring the web of data. In: Proceedings of the 8th International Conference on Semantic Systems, I-SEMANTICS 2012, pp. 197–200. ACM (2012)
Cyganiak, R., Bizer, C., Garbers, J., Maresch, O., Becker, C.: The D2RQ mapping language. Technical report, March 2012. http://d2rq.org/d2rq-language
Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF mapping language. W3C Recommendation, W3C (2012). http://www.w3.org/TR/r2rml/
Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)
Iorio, A.D., Lange, C., Dimou, A., Vahdati, S.: Semantic publishing challenge – assessing the quality of scientific output by information extraction and interlinking. In: Gandon, F., Cabrio, E., Stankovic, M., Zimmermann, A. (eds.) SemWebEval 2015. CCIS, vol. 548, pp. 65–80. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25518-7_6
Dimou, A., Heyvaert, P., Taelman, R., Verborgh, R.: Modeling, generating, and publishing knowledge as linked data. In: Ciancarini, P., et al. (eds.) EKAW 2016. LNCS (LNAI), vol. 10180, pp. 3–14. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58694-6_1
Dimou, A., et al.: Assessing and refining mappingsto RDF to improve dataset quality. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 133–149. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25010-6_8
Dimou, A., Vahdati, S., Di Iorio, A., Lange, C., Verborgh, R., Mannens, E.: Challenges as enablers for high quality linked data: insights from the semantic publishing challenge. PeerJ Comput. Sci. 3, e105 (2017)
Dimou, A., Vander Sande, M., Colpaert, P., Verborgh, R., Mannens, E., Van de Walle, R.: RML: a generic language for integrated RDF mappings of heterogeneous data. In: Proceedings of the 7th Workshop on Linked Data on the Web, CEUR Workshop Proceedings, vol. 1184 (2014)
Dimou, A., Verborgh, R., Sande, M.V., Mannens, E., Van de Walle, R.: Machine-interpretable dataset and service descriptions for heterogeneous data access and retrieval. In: Proceedings of the 11th International Conference on Semantic Systems, SEMANTICS 2015, pp. 145–152. ACM (2015)
Gentile, A.L., Nuzzolese, A.G.: cLODg - conference linked open data generator. In: Villata, S., Pan, J., Dragoni, M. (eds.) International Semantic Web Conference (Posters and Demos), CEUR Workshop Proceedings, vol. 1486. CEUR-WS.org (2015)
Heyvaert, P., Dimou, A., Verborgh, R., Mannens, E.: Ontology-based data access mapping generation using data, schema, query, and mapping knowledge. In: Blomqvist, E., Maynard, D., Gangemi, A., Hoekstra, R., Hitzler, P., Hartig, O. (eds.) ESWC 2017. LNCS, vol. 10250, pp. 205–215. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58451-5_15
Heyvaert, P., et al.: RMLEditor: a graph-based mapping editor for linked data mappings. In: Sack, H., Blomqvist, E., d’Aquin, M., Ghidini, C., Ponzetto, S.P., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9678, pp. 709–723. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-34129-3_43
Heyvaert, P., Dimou, A., Verborgh, R., Mannens, E., Van de Walle, R.: Towards a uniform user interface for editing mapping definitions. In: Workshop on Intelligent Exploration of Semantic Data (2015)
Möller, K., Heath, T., Handschuh, S., Domingue, J.: Recipes for semantic web dog food—the ESWC and ISWC metadata projects. In: Aberer, K. (ed.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 802–815. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76298-0_58
Ronzano, F., Saggion, H.: Dr. Inventor framework: extracting structured information from scientific publications. In: Japkowicz, N., Matwin, S. (eds.) DS 2015. LNCS (LNAI), vol. 9356, pp. 209–220. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24282-8_18
Shotton, D.: Semantic publishing: the coming revolution in scientific journal publishing. Learn. Publ. 22(2), 85–94 (2009)
Softic, S., De Vocht, L., Mannens, E., Ebner, M., Van de Walle, R.: COLINDA: modeling, representing and using scientific events in the web of data. In: Proceedings of the 4th International Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2015), CEUR Workshop Proceedings, vol. 1363 (2015)
Tkaczyk, D., Bolikowski, Ł.: Extracting contextual information from scientific literature using CERMINE system. In: Gandon, F., Cabrio, E., Stankovic, M., Zimmermann, A. (eds.) SemWebEval 2015. CCIS, vol. 548, pp. 93–104. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25518-7_8
Vahdati, S., Karim, F., Huang, J.-Y., Lange, C.: Mapping large scale research metadata to linked data: a performance comparison of HBase, CSV and XML. In: Garoufallou, E., Hartley, R.J., Gaitanou, P. (eds.) MTSR 2015. CCIS, vol. 544, pp. 261–273. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24129-6_23
Acknowledgments
The described research activities were funded by Ghent University, imec, Flanders Innovation and Entrepreneurship (AIO), the Research Foundation – Flanders (FWO), and the European Union (EU).
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Dimou, A. et al. (2018). ILastic: Linked Data Generation Workflow and User Interface for iMinds Scholarly Data. In: González-Beltrán, A., Osborne, F., Peroni, S., Vahdati, S. (eds) Semantics, Analytics, Visualization . SAVE-SD SAVE-SD 2017 2018. Lecture Notes in Computer Science(), vol 10959. Springer, Cham. https://doi.org/10.1007/978-3-030-01379-0_2
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