Encoding and Querying Historic Map Content
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Encoding and Querying Historic Map Content
- Simon Scheider
- Jim Jones
- Alber Sánchez
- Carsten Keßler
- Simon Scheider
- Jim Jones
- Alber Sánchez
- Carsten KeßlerEmail author
- 1.Institute for GeoinformaticsUniversity of MünsterMünsterGermany
- 2.CARSI, Department of Geography, Hunter CollegeCity University of New YorkNew YorkUSA
Abstract
Libraries have large collections of map documents with rich spatio-temporal information encoded in the visual representation of the map. Currently, historic map content is covered by the provided metadata only to a very limited degree, and thus is not available in a machine-readable form. A formal representation would support querying for and reasoning over detailed semantic contents of maps, instead of only map documents. From a historian’s perspective, this would support search for map resources which contain information that answers very specific questions, such as maps that show the cities of Prussia in 1830, without manually searching through maps. A particular challenge lies in the wealth and ambiguity of map content for queries. In this chapter, we propose an approach to describe map contents more explicitly. We suggest ways to formally encode historic map content in an approximate intensional manner which still allows useful queries. We discuss tools for georeferencing and enriching historic map descriptions by external sources, such as DBpedia. We demonstrate the use of this approach by content queries on map examples.
Keywords
Description Logic Graph Pattern Open Geospatial Consortium Content Graph Triple StoreNotes
Acknowledgments
This work has been funded by the German Research Foundation (DFG) through the Linked Data for eScience Services (LIFE) project (KU 1368/11-1). We also would like to thank our project partners, the Münster University Library (ULB) and the Institute for comparative urban history (ISTG) for their constant support of this work.
References
- Arteaga MG, (2013) Historical map polygon and feature extractor. In: MAPINTERACT’13, Orlando, FL, USA. ACM, New York, NY, 05–08 Nov 2013Google Scholar
- Battle R, Kolas D (2012) Enabling the geospatial semantic web with parliament and GeoSPARQL. Semantic Web 3(4):355–370Google Scholar
- Bizer C, Heath T, Berners-Lee T (2009) Linked data: the story so far. Int J Semantic Web Inf Syst 5(3):1–22CrossRefGoogle Scholar
- Carral D, Scheider S, Janowicz K, Vardeman C, Krisnadhi A, Hitzler P (2013) An ontology design pattern for cartographic map scaling. In: Cimiano P, Corcho O, Presutti V, Hollink L, Rudolph S (eds) The semantic web: semantics and big data. Lecture notes in computer science, vol 7882. Springer, Berlin, pp 76–93Google Scholar
- Gangemi A, Presutti V (2009) Ontology design patterns. In: Staab S, Studer R (eds) Handbook on ontologies, international handbooks on information systems. Springer, Berlin, pp 221–243. doi: 10.1007/978-3-540-92673-3_10
- Gkadolou E, Stefanakis E (2013) A formal ontology for historical maps. In: 26th international cartographic conferenceGoogle Scholar
- Gkadolou E, Tomai E, Stefanakis E, Kritikos G (2013) Ontological standardization for historical map collections: studying the Greek borderlines of 1881. In: ISPRS annals of the photogrammetry, remote sensing and spatial, information sciences, vol I-2Google Scholar
- Grossner K (2010) Representing historical knowledge in geographic information systems. Ph.D. thesis, University of California, Santa BarbaraGoogle Scholar
- Hart G, Dolbear C (2013) Linked data: a geographic perspective. CRC Press, Boca RatonCrossRefGoogle Scholar
- Haslhofer B, Robitza W, Guimbretiere F, Lagoze C (2013) Semantic tagging on historical maps. In: Proceedings of the 5th annual ACM web science conference, WebSci ’13. ACM, New York, NY, USA, pp 148–157Google Scholar
- Hyvönen E, Tuominen J, Kauppinen T, Väätäinen J (2011) Representing and utilizing changing historical places as an ontology time series. In: Ashish N, Sheth AP (eds) Geospatial semantics and the semantic web, semantic web and beyond, vol 12. Springer, New York, pp 1–25CrossRefGoogle Scholar
- Kottmann C, Reed C (2009) The OpenGIS abstract specification. Topic 5: featuresGoogle Scholar
- Kraak MJ (2003) Geovisualization illustrated. ISPRS J Photogrammetry Remote Sens 57(56): 390–399Google Scholar
- Krötzsch M, Simancik F, Horrocks I (2012) A description logic primer. CoRR abs/1201.4089Google Scholar
- MacEachren AM (2004) How maps work: representation, visualization, and design, 2nd edn. The Guilford Press, New YorkGoogle Scholar
- Montello D (1993) Scale and multiple psychologies of space. In: Frank AU, Campari I (eds) Spatial information theory a theoretical basis for GIS. Lecture notes in computer science, vol 716. Springer, Berlin, pp 312–321Google Scholar
- Ruotsalo T, Haav K, Stoyanov A, Roche S, Fani E, Deliai R, Mäkelä E, Kauppinen T, Hyvönen E (2013) SMARTMUSEUM: a mobile recommender system for the web of data. Web Semant Sci Serv Agents World Wide Web 20:50–67CrossRefGoogle Scholar
- Simon R, Haslhofer B, Robitza W, Momeni E (2011) Semantically augmented annotations in digitized map collections. In: Proceedings of the 11th annual international ACM/IEEE joint conference on digital libraries, JCDL ’11. ACM, New York, NY, USA, pp 199–202Google Scholar
- Simon R, Barker E, Isaksen L (2012) Exploring Pelagios: a visual browser for geo-tagged datasets. In: International workshop on supporting users’ exploration of digital libraries. Paphos, Cyprus, 23–27 Sept 2012Google Scholar
- Smith B, Mark D (2001) Geographic categories: an ontological investigation. Int J Geog Inf Sci 15(7):591–612CrossRefGoogle Scholar
- Trame J, Keßler C, Kuhn W (2013) Linked data and time: modeling researcher life lines by events. In: Tenbrink T, Stell J, Galton A, Wood Z (eds) Spatial information theory. Lecture notes in computer science, vol 8116. Springer International Publishing, pp 205–223. doi: 10.1007/978-3-319-01790-7_12
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About this chapter
- First Online 18 May 2014
- DOI https://doi.org/10.1007/978-3-319-03611-3_15
- Publisher Name Springer, Cham
- Print ISBN 978-3-319-03610-6
- Online ISBN 978-3-319-03611-3
- eBook Packages Earth and Environmental Science Earth and Environmental Science (R0)
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