Evaluating Topological Queries in Linked Data Using DBpedia and GeoNames in Switzerland and Scotland

Abstract

This article explores the practicability and assesses the quality of searches for Wikipedia pages of topologically related administrative divisions in Switzerland and Scotland via Linked Data. To this end, the quality of searches in the English and German versions of DBpedia is compared, as is that of searches in GeoNames and DBpedia using DBpedia's links to GeoNames or a manually created list of links. In addition, the effects of updates to Swiss municipality borders in the English version of DBpedia on standard quality metrics are studied. It turns out that live searches are practicable with acceptable performance, but that the quality of searches in terms of recall and precision is acceptable only if DBpedia is queried via GeoNames and DBpedia's links to GeoNames are replaced by manually created links. Searches for Scottish unitary authority wards perform poorly for all approaches investigated. Recall and precision are strongly influenced by changes in municipality borders, with a relatively long latency suggesting that, at least in some cases, administrative changes propagate slowly into DBpedia. These results have important implications for those seeking to use location as a means to link data.

Template-Based Question Answering over Linked Geospatial Data

“…For the purposes of this paper, we have only used GADM data from the United Kingdom (England, Scotland, Wales and Northern Ireland) and Ireland. The graphical representation 16 and the RDF/XML form 17 of the GADM ontology used are publicly available. Throughout the paper we use the prefix gadmr: instead of http://www.app-lab.…”

“…Grutter et al [16] explore the use of DBpedia and Geonames for answering topological queries involving administrative divisions of Switzerland and Scotland (since the authors are very familiar with the administrative geographies of these two countries). The paper contains a detailed discussion of quality issues in linked geospatial data and especially the two linked data sources used by the authors (e.g., incompleteness, inconsistency of data etc.).…”

A framework for connecting two interoperability universes: OGC Web Feature Services and Linked Data

“…Regarding interlinking of datasets, which constitutes a key issue of Linked Data, we mention some works that have studied the interconnection of geospatial Linked Data by extending linking criteria and adding geospatial characteristics, such as the use of distance and semantic criteria (Auer et al, ; Patni et al, ; Salas & Harth, ; Vilches‐Blázquez, Saquicela, & Corcho, ; Feliachi et al, ; Ngonga, ; Yuan et al, ), or the discovery and exploitation of topological relations (Smeros & Koubarakis, ; Grütter, Purves, & Wotruba, ; Sherif, Dreßler, Smeros, & Ngomoa, ). However, these approaches deal only with RDF datasets and do not support or exploit complex geometries gathered in other (geospatial) formats.…”

Neural factoid geospatial question answering

“…Today, most existing geospatial QA systems [24,55,68] are based on geospatial resources and open-domain knowledge bases. These are generally encoded as RDF in the form of (subject, predicate, object) triples, and can be queried using query languages such as SPARQL/GeoSPARQL.…”