Feature Identities, Descriptors, and Handles

Abstract. Finding the \right " geographic feature is a common source of interoperability diculties. This paper reviews the issues and discusses how persistent feature identiers can be used to support relationships and incremental updating in dispersed inter-operating information systems. Using such identiers requires common denitions for concepts such as \scope " of datasets and identier namespaces. This work extends current understanding in the Features Special Interest Group of the Open GI

Standards based approaches for cross-domain data integration

The term "geohazards" provides a label for a common way of looking at the relationships between the state of a phenomenon, its geographical context and the impacts it may have. This way of thinking applies equally to hazards such as floods, landslides, severe weather, biological agents etc. Each of these domains must be modeled separately according to the way it behaves, but there are common problems, and in the case of geohazards, need for common views of the potential impacts and linkages. A common approach allows us to integrate data, or simply be the enabler by allowing us to share tools and methodologies. Agreement on the commonality means "standards" - and mechanisms and governance of these standards. This paper proposes an outline of the set of standards required to achieve cross-domain data integration, and the governance arrangements required to achieve this. In particular, it proposes a potential mechanism for INSPIRE and other Spatial Data Infrastructures to achieve cross-domain harmonisation of data standard specifications through a simple generic geographic contextualisation framework that removes the need for complex cross-domain interdependencies in data models

GEOGRAPHIC INFORMATION SYSTEM

U radu su opisani povijest i razvoj geografsko informacijskog sustava. Nakon toga se opisuje što GIS predstavlja danas te se također navode komponente GIS-a, kao i njegove funkcije. Navode se i prednosti te nedostatci sustava. Zatim se opisuje primjena GIS-a, gdje se pobliže opisuje primjena u prostornom planiranju, cestovnom te pomorskom prometu. Na kraju se opisuje što se očekuje od GIS-a u budućnosti, te se navodi 5 trendova GIS-a koji mijenjaju svijet

A semantic registry using a Feature Type Catalogue instead of ontologies to support spatial data infrastructures

The use of a semantically rich registry containing a Feature Type Catalogue (FTC) to represent the semantics of geographic feature types including operations, attributes and relationships between feature types is required to realise the benefits of Spatial Data Infrastructures (SDIs). Specifically, such information provides a more complete representation of the semantics of the concepts used in the SDI, and enables advanced navigation, discovery and utilisation of discovered resources. The presented approach creates an FTC implementation in which attributes, associations and operations for a given feature type are encapsulated within the FTC, and these conceptual representations are separated from the implementation aspects of the web services that may realise the operations in the FTC. This differs from previous approaches that combine the implementation and conceptual aspects of behaviour in a web service ontology, but separate the behavioural aspects from the static aspects of the semantics of the concept or feature type. These principles are demonstrated by the implementation of such a registry using open standards. The ebXML Registry Information Model (ebRIM) was used to incorporate the FTC described in ISO 19110 by extending the Open Geospatial Consortium ebRIM Profile for the Web Catalogue Service (CSW) and adding a number of stored queries to allow the FTC component of the standards-compliant registry to be interrogated. The registry was populated with feature types from the marine domain, incorporating objects that conform to both the object and field views of the world. The implemented registry demonstrates the benefits of inheritance of feature type operations, attributes and associations, the ability to navigate around the FTC and the advantages of separating the conceptual from the implementation aspects of the FTC. Further work is required to formalise the model and include axioms to allow enhanced semantic expressiveness and the development of reasoning capabilities

Assessing the state of research data publication in hydrology: A perspective from the Consortium of Universities for the Advancement of Hydrologic Science, Incorporated

Many have argued that datasets resulting from scientific research should be part of the scholarly record as first class research products. Data sharing mandates from funding agencies and scientific journal publishers along with calls from the scientific community to better support transparency and reproducibility of scientific research have increased demand for tools and support for publishing datasets. Hydrology domain‐specific data publication services have been developed alongside more general purpose and even commercial data repositories. Prominent among these are the Hydrologic Information System (HIS) and HydroShare repositories developed by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI). More broadly, however, multiple organizations have been involved in the practice of data publication in the hydrology domain, each having different roles that have shaped data publication and reuse. Bibliographic and archival approaches to data publication have been advanced, but both have limitations with respect to hydrologic data. Specific recommendations for improving data publication infrastructure, support, and practices to move beyond existing limitations and enable more effective data publication in support of scientific research in the hydrology domain include: improving support for journal article‐based data access and data citation, considering the workflow for data publication, enhancing support for reproducible science, encouraging publication of curated reference data collections, advancing interoperability standards for sharing data and metadata among repositories, developing partnerships with university libraries offering data services, and developing more specific data management plans. While presented in the context of CUAHSI’s data repositories and experience, these recommendations are broadly applicable to other domains.This article is categorized under:Science of Water > MethodsDepiction of an actual workflow from the HydroShare data and model repository demonstrating new capabilities for collaborative data publication that have been shaped by multiple years of experience in providing data publication services for the hydrology community.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154948/1/wat21422_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154948/2/wat21422.pd