NDLI: Provenance ontology model for land administration spatial data supply chains

Content Provider	IEEE Xplore Digital Library
Author	Sadiq, M.A. West, G. McMeekin, D.A. Arnold, L. Moncrieff, S.
Copyright Year	2015
Description	Author affiliation: Dept. of Spatial Sci., Curtin Univ., Perth, WA, Australia (Sadiq, M.A.; West, G.; McMeekin, D.A.; Arnold, L.; Moncrieff, S.)
Abstract	Land Administration Spatial Data Supply Chains (SDSC) for state and territory jurisdictions in Australia require extensive investigation to address several contemporary issues and challenges that are hampering innovation and the use of spatial information across the land administration sector. The management of cadastral data involves multiple value and supply chains. Each has heterogeneous geo-processes, methods, models and workflows that combine to generate, modify and deliver spatial data. The integration and processing of multiple datasets gives rise to end user questions about trust, quality, fitness for purpose, currency and authoritativeness of the data. This is because datasets originate from various sources, and different geo-processes are executed to deliver the final product. Understanding how data is collected, processed, managed and disseminated provides knowledge about its history, believability and provenance. This in turn increases the usability of data. This paper explores methods to capture spatial data provenance and data flow lineage. The aim is to develop a spatial data provenance model for the land administration domain using a comprehensive ontology. In the GeoPROV-LM model under development, all business and technical phases are defined and an extensive ontology structure developed using a semantic approach at the data flow level.
Starting Page	184
Ending Page	189
File Size	1188221
Page Count	6
File Format	PDF
ISBN	9781467385091
e-ISBN	9781467385114
DOI	10.1109/INNOVATIONS.2015.7381537
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Provenance Ontology Supply chains Semantics Spatial Data Supply Chain Ontologies Spatial databases Data models Geospatial analysis Land Administration Data Flow Standards
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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