GIS Design: A Review of Current Issues in Interoperability

Manso, Miguel-Ángel

doi:10.1111/j.1749-8198.2009.00241.x

Cited by 20 publications

(6 citation statements)

References 31 publications

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“…A renewed and constantly changing technological scenario (Brown et al 2011) is having a strong impact on old (and mostly unsolved) problems (such as the definition of semantics for geographic space (Kuhn 2002) or the interoperability of geographic data (Manso & Wachowicz 2009)). At the same time, it is opening new interesting scenarios, including novel applications (e.g.…”

Section: Experimental Analysis and Resultsmentioning

confidence: 99%

Big Data in Complex Systems

Hassanien¹,

Azar²,

Snåšel³

et al. 2015

Studies in Big Data

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The series "Studies in Big Data" (SBD) publishes new developments and advances in the various areas of Big Data-quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence incl. neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.More information about this series at

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Section: Experimental Analysis and Resultsmentioning

confidence: 99%

Big Data in Complex Systems

Hassanien¹,

Azar²,

Snåšel³

et al. 2015

Studies in Big Data

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“…Chen [5] defines interoperability as "the ability to communicate and exchange information, use the information exchanged and provide access to the functionality of a third system". Different types of interoperability barriers exist in GIScience depending on the interoperability framework being used i.e Technical, semantic and organizational barriers [6]. Technical interoperability barriers are associated with the inability of different systems (e.g Web Services/application programming interfaces (APIs)) to operate together to reach a common task or goal.…”

Section: Interoperabilitymentioning

confidence: 99%

An Empirical Investigation of GIS Interoperability Best Practices In Industry

Mazimwe¹,

Hammouda²,

Gidudu³

2018

Preprint

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Reuse of patterns is a self-evident approach for managing interoperability concerns. Although patterns for resolving interoperability barriers exist in the literature, no study exists on adoption of interoperability patterns by Geographic Information Systems (GIS) practitioners in industry. Thus there is limited understanding of pattern re-usability, yet the advantages offered by interoperability patterns provide a reasonably sound justification for their usage. This paper examines the adoption of proven interoperability best practices in the GIS industry. An empirical study that involved the use of semi-structured interviews was employed to gather data from GIS developers on domain interoperability best practices. Results indicated that industry and communities of practice have been converging on the technical level to ensure interoperability of GIS concerns. Semantic interoperability and related patterns are least understood, yet semantic barriers still exist. This is partly due to the complexity associated with the top-down approach used to develop semantic interoperability solutions. Therefore, this study proposes research into resolving barriers in the adoption of interoperability patterns that reduce complexity while solving semantic interoperability barriers.

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“…the ability of services to exchange data in a meaningful way and with a minimum of human intervention (Harvey et al. 1999, Manso and Wachowicz 2009). In this article, we propose a transparent vertical and horizontal Semantic Enablement Layer (Janowicz et al.…”

Section: Motivationmentioning

confidence: 99%

Semantic Enablement for Spatial Data Infrastructures

Janowicz

Schade

Bröring

et al. 2010

Transactions in GIS

149

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Building on abstract reference models, the Open Geospatial Consortium (OGC) has established standards for storing, discovering, and processing geographical information. These standards act as a basis for the implementation of specific services and Spatial Data Infrastructures (SDI). Research on geo-semantics plays an increasing role to support complex queries and retrieval across heterogeneous information sources, as well as for service orchestration, semantic translation, and on-the-fly integration. So far, this research targets individual solutions or focuses on the Semantic Web, leaving the integration into SDI aside. What is missing is a shared and transparent Semantic Enablement Layer for SDI which also integrates reasoning services known from the Semantic Web. Instead of developing new semantically enabled services from scratch, we propose to create profiles of existing services that implement a transparent mapping between the OGC and the Semantic Web world. Finally, we point out how to combine SDI with linked data.

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GIS Design: A Review of Current Issues in Interoperability

Cited by 20 publications

References 31 publications

Big Data in Complex Systems

Big Data in Complex Systems

An Empirical Investigation of GIS Interoperability Best Practices In Industry

Semantic Enablement for Spatial Data Infrastructures

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