add lgd ontop paper

aksw.bib

@@ -12285,7 +12285,22 @@ @InProceedings{stadler-c-2022--geospacial
   series    = {{CEUR} Workshop Proceedings},
   volume    = {3376},
   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.},
+  keywords  = {group_aksw sys:relevantFor:infai es stadler sbin buehmann radtke junghanns martin},
   url       = {https://ceur-ws.org/Vol-3376/paper03.pdf},
 }
 
+@Article{Ding2021,
+  author   = {Linfang Ding and Guohui Xiao and Albulen Pano and Claus Stadler and Diego Calvanese},
+  journal  = {Journal of Web Semantics},
+  title    = {Towards the next generation of the LinkedGeoData project using virtual knowledge graphs},
+  year     = {2021},
+  issn     = {1570-8268},
+  pages    = {100662},
+  volume   = {71},
+  abstract = {With the advancement of Semantic Technologies, large geospatial data sources have been increasingly published as Linked data on the Web. The LinkedGeoData project is one of the most prominent such projects to create a large knowledge graph from OpenStreetMap (OSM) with global coverage and interlinking of other data sources. In this paper, we report on the ongoing effort of exposing the relational database in LinkedGeoData as a SPARQL endpoint using Virtual Knowledge Graph (VKG) technology. Specifically, we present two realizations of VKGs, using the two systems Sparqlify and Ontop. In order to improve compliance with the OGC GeoSPARQL standard, we have implemented GeoSPARQL support in Ontop v4. Moreover, we have evaluated the VKG-powered LinkedGeoData in the test areas of Italy and Germany. Our experiments demonstrate that such system supports complex GeoSPARQL queries, which confirms that query answering in the VKG approach is efficient.},
+  doi      = {https://doi.org/10.1016/j.websem.2021.100662},
+  keywords = {group_aksw sys:relevantFor:infai es stadler},
+  url      = {https://svn.aksw.org/papers/2023/JWS_LinkedGeoData_Ontop/public.pdf},
+}
+
 @Comment{jabref-meta: databaseType:bibtex;}