%0 Conference Paper %1 stadler-c-2022--geospacial %A Stadler, Claus %A Bin, Simon %A Bühmann, Lorenz %A Radtke, Norman %A Junghanns, Kurt %A Gründer-Fahrer, Sabine %A Martin, Michael %B Proceedings of the International Workshop on Data-driven Resilience Research 2022 %C Leipzig, Germany %D 2022 %E Arndt, Natanael %E Gründer-Fahrer, Sabine %E Holze, Julia %E Martin, Michael %E Tramp, Sebastian %K buehmann es group_aksw junghanns martin radtke sbin stadler %T Semantification of Geospatial Information for Enriched Knowledge Representation in Context of Crisis Informatics %U https://ceur-ws.org/Vol-3376/paper03.pdf %V 3376 %X In the context of crisis informatics, the integration and exploitation of high volumes of heterogeneous data from multiple sources is one of the big chances as well as challenges up to now. Semantic Web technologies have proven a valuable means to integrate and represent knowledge on the basis of domain concepts which improves interoperability and interpretability of information resources and allows deriving more knowledge via semantic relations and reasoning. In this paper, we investigate the potential of representing and processing geospatial information within the semantic paradigm. We show, on the technical level, how existing open source means can be used and supplemented as to efficiently handle geographic information and to convey exemplary results highly relevant in context of crisis management applications. When given semantic resources get enriched with geospatial information, new information can be retrieved combining the concepts of multi-polygons and geo-coordinates and using the power of GeoSPARQL queries. Custom SPARQL extension functions and data types for JSON, XML and CSV as well as for dialects such as GeoJSON and GML allow for succinct integration of heterogeneous data. We implemented these features for the Apache Jena Semantic Web framework by leveraging its plugin systems. Furthermore, significant improvements w.r.t. GeoSPARQL query performance have been contributed to the framework.

@inproceedings{stadler-c-2022--geospacial, abstract = {In the context of crisis informatics, the integration and exploitation of high volumes of heterogeneous data from multiple sources is one of the big chances as well as challenges up to now. Semantic Web technologies have proven a valuable means to integrate and represent knowledge on the basis of domain concepts which improves interoperability and interpretability of information resources and allows deriving more knowledge via semantic relations and reasoning. In this paper, we investigate the potential of representing and processing geospatial information within the semantic paradigm. We show, on the technical level, how existing open source means can be used and supplemented as to efficiently handle geographic information and to convey exemplary results highly relevant in context of crisis management applications. When given semantic resources get enriched with geospatial information, new information can be retrieved combining the concepts of multi-polygons and geo-coordinates and using the power of GeoSPARQL queries. Custom SPARQL extension functions and data types for JSON, XML and CSV as well as for dialects such as GeoJSON and GML allow for succinct integration of heterogeneous data. We implemented these features for the Apache Jena Semantic Web framework by leveraging its plugin systems. Furthermore, significant improvements w.r.t. GeoSPARQL query performance have been contributed to the framework.}, added-at = {2024-03-04T14:15:44.000+0100}, address = {Leipzig, Germany}, author = {Stadler, Claus and Bin, Simon and Bühmann, Lorenz and Radtke, Norman and Junghanns, Kurt and Gründer-Fahrer, Sabine and Martin, Michael}, biburl = {https://www.bibsonomy.org/bibtex/29dc62e58e67d46c0d1f1d17a1e9521df/aksw}, booktitle = {Proceedings of the International Workshop on Data-driven Resilience Research 2022}, editor = {Arndt, Natanael and Gründer-Fahrer, Sabine and Holze, Julia and Martin, Michael and Tramp, Sebastian}, interhash = {4e7a40929f0805de4369eadf525240f1}, intrahash = {9dc62e58e67d46c0d1f1d17a1e9521df}, keywords = {buehmann es group_aksw junghanns martin radtke sbin stadler}, month = jul, series = {{CEUR} Workshop Proceedings}, timestamp = {2024-03-04T14:15:44.000+0100}, title = {Semantification of Geospatial Information for Enriched Knowledge Representation in Context of Crisis Informatics}, url = {https://ceur-ws.org/Vol-3376/paper03.pdf}, volume = 3376, year = 2022 }