Semantic annotation of geodata based on linked-open data

Andrade, Fabio Gomes de; Baptista, Cláudio de Souza; Henriques, Hamon Barros

doi:10.1145/2857218.2857220

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…The largest number of publications classified as ''software engineering'' (95) were related to the ''data exploitation'' phase, and most publications classified as ''semantic web'' were related either to the ''data exploitation'' (57) or ''interlinking'' (62) phase. Regarding ''government'' topic, most publications were classified as ''creation'' (42) or ''exploitation'' (46). It is surprising that there were few publications on ''harmonization'' phase classified as ''government''.…”

Section: G Combining Facets -The Systematic Map(s)mentioning

confidence: 99%

“…The development of ''software engineering'' research applied to various areas is notable in applications for using open data in teaching or development of APIs for tourism applications [39], analysis of data generated by smartphones, open data collection to present useful information to citizens for public events [40], [41], [21], [42]- [44].…”

Section: Rq3-what Domains Have Been Considered By the Researchers? -mentioning

confidence: 99%

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Systematic Mapping of Open Data Studies: Classification and Trends From a Technological Perspective

et al. 2021

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The objective of this paper is to classify and analyse all research on open data performed in the scientific community from a technological viewpoint, providing a detailed exploration based on six key facets: publication venue, impact, subject, domain, life-cycle phases and type of research. This paper therefore provides a consolidated overview of the open data arena that allows readers to identify well-established topics, trends, and open research issues. Additionally, we provide an extensive qualitative discussion of the most interesting findings to pave the way for future research. Our first identification phase resulted in 893 relevant peer-reviewed articles, published between 2006 and 2019 in a wide variety of venues. Analysis of the results shows that open data research grew slowly from 2006 but increased significantly as from 2009. In 2019, research interest in open data from a technological perspective overall decreased. This fact could indicate that research is beginning to stabilise, i.e., the open data research hype is over, and the research field is reaching maturity. Main findings are (i) increasing effort in researching on Semantic Web technologies as a mechanism to publish and reuse linked open data, (ii) software systems are proposed to solve open data technical problems; and (iii) considering technological aspects of legislation and standardization is needed to widely introduce open data in society. Finally, we provide complementary insights regarding open data innovation projects, with special emphasis on publication (e.g., open data portals) and consumption (e.g., open data as business enabler) of open data.

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Section: G Combining Facets -The Systematic Map(s)mentioning

confidence: 99%

Section: Rq3-what Domains Have Been Considered By the Researchers? -mentioning

confidence: 99%

Systematic Mapping of Open Data Studies: Classification and Trends From a Technological Perspective

et al. 2021

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“…The authors also proposed a case study of this prototype for generating a landslide susceptibility index. de Andrade et al (2015) offered a method for performing an automatic semantic annotation of feature types that come from SDIs. This proposal used DBpedia ontology and classic information retrieval techniques in the annotation process.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Bearing in mind the limitations mentioned, this article aims to provide an approach for opening up legacy WFS services through the automatic generation of semantic annotations of services at their three request levels. Several works have addressed the semantic annotation of OWS services along these lines to annotate geospatial services and data in a manual (Djezzar et al, 2018; Jiang et al, 2018; Maué, Michels, & Roth, 2012; Maué, Schade, & Duchesne, 2009), semi‐automatic (Yue, Guo, Zhang, Jiang, & Zhai, 2016; Yue et al, 2009), or automatic manner (de Andrade, de Souza, & Henriques, 2015; Prudhomme et al, 2020; Yu et al, 2016; Wiemann & Bernard, 2016; Zhao, Zhang, & Li, 2016). Nevertheless, none of these proposals automatically performed semantic annotations of WFS services at its three request levels ( GetCapabilities , 1 DescribeFeatureType , 2 and GetFeature 3 ).…”

Section: Introductionmentioning

confidence: 99%

Annotating OGC web feature services automatically for generating geospatial knowledge graphs

Saquicela

Vilches‐Blázquez

Freire

et al. 2021

Transactions in GIS

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The Spatial Data Infrastructure initiatives are now broadly developed and deployed. However, while plenty of tools use them, some tasks are still complex to perform by non‐expert users, such as finding, accessing, and using some of their related OGC Web Services (OWS). One of the main reasons for these challenges is associated with semantic heterogeneity within these services. This entails a lack of proper descriptions and requires knowledge about data structure and domain‐specific query languages to discover and retrieve these services. Semantic annotations of OWS play a crucial role in achieving semantic interoperability and addressing these associated challenges. In this article we describe an approach for enabling the automatic generation of semantic annotations of Web Feature Services (WFS) at their three request levels (GetCapabilities, DescribeFeatureType, and GetFeature), which are used to generate knowledge graphs. This approach uses various external services, ontological resources (POSM, DBpedia, GeoSPARQL, GeoNames, and datos.ign.es vocabularies), and knowledge bases (DBpedia and datos.ign.es). Moreover, this approach enables us to validate annotations obtained as a previous step to generating geospatial knowledge graphs. Additionally, we present our proposal through an application case and assess it using a representative set of 21 WFS services, achieving an average of 46.70% annotations, of which 22.29% and 35.52% were validated using DBpedia and datos.ign.es initiatives, respectively. This shows the feasibility of our approach to generate knowledge graphs from WFS services in an automatic way.

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“…Dill et al [41] and Mahmoudi et al [42] concentrate on the methodology for matching semantics-aware data structures with geospatial entities, while the focus of our work is on the identification of target metadata items in traditional metadata and the specification of appropriate SPARQL queries that can let semantic information emerge. Klien et al [43,44] address semantic lift of geospatial data, rather than metadata, by relying on selected, authoritative ontologies; instead, de Andrade et al [45] lift geospatial data by relying on the Web of Data at large. Our methodology endorses the latter approach, but applies to metadata instead of data.…”

Section: State Of the Artmentioning

confidence: 99%

Web-Scale Normalization of Geospatial Metadata Based on Semantics-Aware Data Sources

Fugazza

Tagliolato

Frigerio

et al. 2017

IJGI

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Geospatial metadata are largely denormalized inasmuch as resource descriptions typically accommodate property values as plain text. Hence, it is not possible to bring multiple references to the same entity (say, a keyword from a controlled vocabulary) under the same umbrella. This practice is ultimately the main source for the heterogeneities in metadata descriptions by which geospatial discovery is hampered. In this paper, we elaborate on ex-post semantic augmentation of metadata, a technique generally referred to as semantic lift, which complements our previous research on semantic characterization of metadata via transparent association of uniform resource identifiers with metadata items at editing time. The latter is accomplished by means of a template-based metadata editor that can be tailored to any XML-based metadata schema. By repurposing the template language previously defined for metadata editing, we broaden the expressiveness of the former and integrate heterogeneous, XML-based resource descriptions in our semantics-aware metadata management workflow. URI-based indirection in metadata provision not only entails normalization of individual information items and allows one to overcome the aforementioned heterogeneities, but also elicits decentralized, multi-tenanted management of metadata.

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Semantic annotation of geodata based on linked-open data

Cited by 3 publications

References 17 publications

Systematic Mapping of Open Data Studies: Classification and Trends From a Technological Perspective

Systematic Mapping of Open Data Studies: Classification and Trends From a Technological Perspective

Annotating OGC web feature services automatically for generating geospatial knowledge graphs

Web-Scale Normalization of Geospatial Metadata Based on Semantics-Aware Data Sources

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