Abstract
In recent years, the amount of statistical data available on the web has been growing fast. Numerous organizations and governments publish data sets in a multitude of formats and encodings, using different scales, and providing access through a wide range of mechanisms. Due to such inconsistent publishing practices, integrated analysis of statistical data is challenging. StatSpace tackles this problem through semantic integration and provides uniform access to disparate statistical data. At present, it incorporates more than 1,800 data sets published by a variety of data providers including the World Bank, the European Union, and the European Environment Agency. StatSpace transparently lifts data from raw sources, maps geographical and temporal dimensions, aligns value ranges, and allows users to explore and integrate the previously isolated data sets. This paper introduces the constituent elements of the StatSpace architecture – i.e., a metadata repository, URI design patterns, and supporting services – and demonstrates the usefulness of the resulting Linked Data infrastructure by means of use case examples.
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Notes
- 1.
e.g., http://data.worldbank.org/indicator, accessed August 30, 2016.
- 2.
e.g., https://www.ons.gov.uk, accessed August 30, 2016.
- 3.
http://data.europa.eu/euodp/en/linked-data, accessed August 30, 2016.
- 4.
http://semantic.eea.europa.eu/sparql, accessed August 30, 2016.
- 5.
http://data.cso.ie/query.html, accessed August 30, 2016.
- 6.
Available at http://statspace.linkedwidgets.org.
- 7.
https://sdmx.org/, accessed August 30, 2016.
- 8.
statspace.linkedwidgets.org/metadata/ONS-Population-1851-2014, accessed August 30, 2016.
- 9.
All prefixes used in this paper can be looked up at http://prefix.cc.
- 10.
http://statspace.linkedwidgets.org/dimension/expenditure, accessed August 30, 2016.
- 11.
http://statspace.linkedwidgets.org/dimension/economicActivity, accessed August 30, 2016.
- 12.
http://www.epimorphics.com/web/wiki/using-interval-set-uris-statistical-data, accessed August 30, 2016.
- 13.
https://sdmx.org/?page_id=3215, accessed August 30, 2016.
- 14.
The expenditure dimension consists of four code lists, i.e., classification of individual consumption by purpose (COICOP), classification of functions of government (COFOG), classification of purposes of non-profit institutions serving households (COPNI), and classification of outlays of producers by purpose (COPP).
- 15.
For instance, the top concept in the age code list is total (i.e., http://statspace.linkedwidgets.org/codelist/cl_age/Total) which is split into various age groups such as 0–4, 5–9, ... , 105–109 (type: age-group), and special values, e.g., 70+, 75+, 80+ (type: age-plus). Each age group is split into individual ages (type: age-individual), and each special value is split into age groups.
- 16.
http://databank.worldbank.org/data/download/site-content/WDI_CETS.xls, accessed August 30, 2016.
- 17.
https://www.w3.org/TR/r2rml, accessed August 30, 2016.
- 18.
http://statspace.linkedwidgets.org/map**/wb.ttl, accessed August 30, 2016.
- 19.
https://developers.google.com/chart/, accessed August 30, 2016.
- 20.
http://c3js.org/, accessed August 30, 2016.
- 21.
http://wifo5-03.informatik.uni-mannheim.de/pubby/, accessed August 30, 2016.
- 22.
- 23.
http://statspace.linkedwidgets.org/map**/wb.ttl, accessed August 30, 2016.
- 24.
http://statspace.linkedwidgets.org/performance/, accessed August 30, 2016.
References
Becker, K., Tan, X., Jahangiri, S., Knoblock, C.A.: Finding, assessing, and integrating statistical sources for data mining. In: Proceedings of Know@LOD 2015. CEUR (2015)
Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semant. Web Inf. Syst. (IJSWIS) 5(3), 1–22 (2009)
Capadisli, S., Auer, S., Ngonga Ngomo, A.C.: Linked SDMX data: path to high fidelity statistical linked data. Semantic Web 6(2), 105–112 (2015)
Cyganiak, R., Reynolds, D., Tennison, J.: The RDF data cube vocabulary (2014). https://www.w3.org/TR/vocab-data-cube/
Dimou, A., Vander Sande, M., Colpaert, P., Verborgh, R., Mannens, E., Van de Walle, R.: RML: a generic language for integrated rdf map**s of heterogeneous data. In: Proceedings of Workshop on Linked Data on the Web (LDOW) (2014)
Do, B.L.: Technical report - documentation of uri design and map** (2016). http://statspace.linkedwidgets.org/documentation.pdf
Do, B.L., Aryan, P.R., Trinh, T.D., Wetz, P., Kiesling, E., Tjoa, A.M.: Toward a framework for statistical data integration. In: Proceedings of Workshop on Semantic Statistics (SemStats). CEUR (2015)
Do, B.L., Trinh, T.D., Aryan, P.R., Wetz, P., Kiesling, E., Tjoa, A.M.: Toward a statistical data integration environment: the role of semantic metadata. In: Proceedings of SEMANTICS Conference, pp. 25–32. ACM (2015)
Do, B.L., Trinh, T.D., Wetz, P., Anjomshoaa, A., Kiesling, E., Tjoa, A.M.: Widget-based exploration of linked statistical data spaces. In: Proceedings of Conference on Data Management Technologies and Applications (DATA). SciTePress (2014)
Kalampokis, E., Karamanou, A., Nikolov, A., Haase, P., Cyganiak, R., Roberts, B., Hermans, P., Tambouris, E., Tarabanis, K.: Creating and utilizing linked open statistical data for the development of advanced analytics services. In: Proceedings of Workshop on Semantic Statistics (SemStats). CEUR (2014)
Kalampokis, E., Roberts, B., Karamanou, A., Tambouris, E., Tarabanis, K.: Challenges on develo** tools for exploiting linked open data cubes. In: Proceedings of Workshop on Semantic Statistics (SemStats). CEUR (2015)
Kämpgen, B., Stadtmüller, S., Harth, A.: Querying the Global Cube: integration of multidimensional datasets from the web. In: Janowicz, K., Schlobach, S., Lambrix, P., Hyvönen, E. (eds.) EKAW 2014. LNCS, vol. 8876, pp. 250–265. Springer, Heidelberg (2014)
Kelly, D., Gyllstrom, K., Bailey, E.W.: A comparison of query and term suggestion features for interactive searching. In: Proceedings of ACM SIGIR Conference on Research and development in information retrieval, pp. 371–378. ACM (2009)
Meroño-Peñuela, A.: LSD Dimensions: use and reuse of linked statistical data. In: Lambrix, P., Hyvönen, E., Blomqvist, E., Presutti, V., Qi, G., Sattler, U., Ding, Y., Ghidini, C. (eds.) EKWA 2014 Satellite Events. LNCS, vol. 8982, pp. 159–163. Springer, Heidelberg (2015)
Mutlu, B., Hoefler, P., Tschinkel, G., Veas, E., Sabol, V., Stegmaier, F., Granitzer, M.: Suggesting visualisations for published data. In: Proceedings of Conference on Information Visualization Theory and Applications (IVAPP), pp. 267–275. IEEE (2014)
Paulheim, H.: Generating possible interpretations for statistics from linked open data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 560–574. Springer, Heidelberg (2012)
Phillips, A.W.: The relation between unemployment and the rate of change of money wage rates in the United Kingdom, 1861–19571. Economica 25(100), 283–299 (1958)
Ruback, L., Manso, S., Salas, P.E.R., Pesce, M., Ortiga, S., Casanova, M.A.: A mediator for statistical linked data. In: Proceedings of Annual ACM Symposium on Applied Computing, pp. 339–341. ACM (2013)
Sabou, M., Arsal, I., Braşoveanu, A.M.: TourMISLOD: a tourism linked data set. Semant. Web 4(3), 271–276 (2013)
Salas, P.E.R., Martin, M., Da Mota, F.M., Auer, S., Breitman, K., Casanova, M.A.: Publishing statistical data on the web. In: Proceedings of International Conference on Semantic Computing (ICSC), pp. 285–292. IEEE (2012)
Schlegel, K., Stegmaier, F., Bayerl, S., Granitzer, M., Kosch, H.: Balloon fusion: SPARQL rewriting based on unified co-reference information. In: Proceedings of International Workshop on Data Engineering Meets the Semantic Web, pp. 254–259. IEEE (2014)
Schmachtenberg, M., Bizer, C., Paulheim, H.: Adoption of the linked data best practices in different topical domains. In: Mika, P., Tudorache, T., Bernstein, A., Welty, C., Knoblock, C., Vrandečić, D., Groth, P., Noy, N., Janowicz, K., Goble, C. (eds.) ISWC 2014, Part I. LNCS, vol. 8796, pp. 245–260. Springer, Heidelberg (2014)
Trinh, T.D., Wetz, P., Do, B.L., Anjomshoaa, A., Kiesling, E., Tjoa, A.M.: Open linked widgets mashup platform. In: Proceedings of the AI Mashup Challenge 2014. CEUR (2014)
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Do, BL., Wetz, P., Kiesling, E., Aryan, P.R., Trinh, TD., Tjoa, A.M. (2016). StatSpace: A Unified Platform for Statistical Data Exploration. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2016 Conferences. OTM 2016. Lecture Notes in Computer Science(), vol 10033. Springer, Cham. https://doi.org/10.1007/978-3-319-48472-3_50
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