Ireland?s Authoritative Geospatial Linked Data

Debruyne, Christophe; Meehan, Alan; Clinton, Éamonn; McNerney, Lorraine; Nautiyal, Atul; Lavin, Peter; O’Sullivan, Declan

doi:10.1007/978-3-319-68204-4_6

Cited by 16 publications

(14 citation statements)

References 7 publications

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“…Other data sources (e.g. geographical data from OSi [6]) are imported automatically as RDF for direct insertion into KG. The schema (or ontology) used to structure KG, is mainly based on the popular CIDOC-CRM ontology [7].…”

Section: Image Representation and Knowledge Graphmentioning

confidence: 99%

A Semantic Search Engine for Historical Handwritten Document Images

Ngo

Munnelly

Orlandi

et al. 2021

Linking Theory and Practice of Digital Libraries

Self Cite

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A very large number of historical manuscript collections are available in image formats and require extensive manual processing in order to search through them. So, we propose and build a search engine for automatically storing, indexing and efficiently searching the manuscript images. Firstly, a handwritten text recognition technique is used to convert the images into textual representations. In the next steps, we apply the named entity recognition and historical knowledge graph to build a semantic search model, which can understand the user’s intent in the query and the contextual meaning of concepts in documents, to return correctly the transcriptions and their corresponding images for users.

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Section: Image Representation and Knowledge Graphmentioning

confidence: 99%

A Semantic Search Engine for Historical Handwritten Document Images

Ngo

Munnelly

Orlandi

et al. 2021

Linking Theory and Practice of Digital Libraries

Self Cite

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“…Even though this was a state-of-the-art development at that time, it relied on unstandardized means for representing data semantics and, as a result, lacked (re)usability. Ordnance Survey Ireland considered the experience of their British colleagues and used standard vocabularies to publish the boundary data of the administrative division at various levels, and to capture the evolution of the administrative boundaries [24]. Another prominent example is the work of the National Geographic Institute of Spain (IGN-E) [25], where they combined the data coming from two governmental institutions and published it as a coherent LD dataset.…”

Section: Linked Datamentioning

confidence: 99%

“…In practice, a possible approach would be to narrow down the use case and build the LD to meet the case requirements. This approach was successful for the Ordnance Survey of both Ireland and the United Kingdom [23,24].…”

Section: Moving From the Third Starmentioning

confidence: 99%

Kadaster Knowledge Graph: Beyond the Fifth Star of Open Data

Ronzhin

Folmer

Maria³

et al. 2019

Information

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After more than a decade, the supply-driven approach to publishing public (open) data has resulted in an ever-growing number of data silos. Hundreds of thousands of datasets have been catalogued and can be accessed at data portals at different administrative levels. However, usually, users do not think in terms of datasets when they search for information. Instead, they are interested in information that is most likely scattered across several datasets. In the world of proprietary in-company data, organizations invest heavily in connecting data in knowledge graphs and/or store data in data lakes with the intention of having an integrated view of the data for analysis. With the rise of machine learning, it is a common belief that governments can improve their services, for example, by allowing citizens to get answers related to government information from virtual assistants like Alexa or Siri. To provide high-quality answers, these systems need to be fed with knowledge graphs. In this paper, we share our experience of constructing and using the first open government knowledge graph in the Netherlands. Based on the developed demonstrators, we elaborate on the value of having such a graph and demonstrate its use in the context of improved data browsing, multicriteria analysis for urban planning, and the development of location-aware chat bots.

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“…Further work has been done in INSPIRE [37] and OGC [38,39]. The Ordnance Survey in Ireland has published more than 50,000,000 spatial objects in their Prime2 database [40][41][42]. Mapping authorities in several other countries have published data sets or researched the subject as well, including, but not limited to; the United Kingdom [43], The Netherlands [44,45], Turkey [31], Spain [46] and Greece [47].…”

Section: Geospatial Information In the Semantic Webmentioning

confidence: 99%

Adapted Rules for UML Modelling of Geospatial Information for Model-Driven Implementation as OWL Ontologies

Jetlund

Onstein

Huang

2019

IJGI

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This study aims to improve the implementation of models of geospatial information in Web Ontology Language (OWL). Large amounts of geospatial information are maintained in Geographic Information Systems (GIS) based on models according to the Unified Modeling Language (UML) and standards from ISO/TC 211 and the Open Geospatial Consortium (OGC). Sharing models and geospatial information in the Semantic Web will increase the usability and value of models and information, as well as enable linking with spatial and non-spatial information from other domains. Methods for conversion from UML to OWL for basic concepts used in models of geospatial information have been studied and evaluated. Primary conversion challenges have been identified with specific attention to whether adapted rules for UML modelling could contribute to improved conversions. Results indicated that restrictions related to abstract classes, unions, compositions and code lists in UML are challenging in the Open World Assumption (OWA) on which OWL is based. Two conversion challenges are addressed by adding more semantics to UML models: global properties and reuse of external concepts. The proposed solution is formalized in a UML profile supported by rules and recommendations and demonstrated with a UML model based on the Intelligent Transport Systems (ITS) standard ISO 14825 Geographic Data Files (GDF). The scope of the resulting ontology will determine to what degree the restrictions shall be maintained in OWL, and different conversion methods are needed for different scopes.

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Ireland?s Authoritative Geospatial Linked Data

Cited by 16 publications

References 7 publications

A Semantic Search Engine for Historical Handwritten Document Images

A Semantic Search Engine for Historical Handwritten Document Images

Kadaster Knowledge Graph: Beyond the Fifth Star of Open Data

Adapted Rules for UML Modelling of Geospatial Information for Model-Driven Implementation as OWL Ontologies

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