Spatial Data Supply Chain Provenance Modelling using Semantic Web Technologies

Spatial Data Supply Chain Provenance Modelling using
Semantic Web Technologies
Name
Department
University
This dissertation is submitted for the degree of
Doctor of Philosophy
Dedication
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I would like to dedicate this thesis to my loving parents ...
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Declaration
I hereby declare that except where specific reference is made to the work of others,
the contents of this dissertation are original and have not been submitted in whole
or in part for consideration for any other degree or qualification in this, or any other
University. This dissertation is the result of my work and includes nothing which is
the outcome of work done in collaboration, except where specifically indicated in
the text. This dissertation contains less than words including appendices,
bibliography, footnotes, tables and equations and has less than figures.
Name
2019
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Acknowledgements
And I would like to acknowledge ...
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List of Figures and Abbreviation
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Contents
1 Introduction
Introduction........................................................................................................
Theory
Systems of Geospatial Data Sharing.........................................................................
Semantic web technologies.......................................................................................
Provenance for spatial analysis.........................................................................
Objective............................................................................................................
2 Development of ontologies
What is in an ontology...............................................................................................
Why develop an ontology..........................................................................................
Defining classes and a class hierarchy......................................................................
Determine the domain and scope of the ontology.....................................................
Define the classes and the class hierarchy...............................................................
Define the properties of classes—slots.....................................................................
Define the facets of the slots.....................................................................................
Create instances........................................................................................................
System Design................................................................................................
3 Data
Spatial data source....................................................................................................
4 Some Experimental Results
Publish GIS data........................................................................................................
RDF
RDF Query.................................................................................................................
5 Discussion
Results Discussion.....................................................................................................
Suggestions...............................................................................................................
6 Conclusions
Objective achievement..............................................................................................
Limitation and suggestion........................................................................................
Further improvement................................................................................................
References
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Abstract:
Geographic Information Systems (GIS) assume a significant job to obtain and convey geospatial
learning dependent on spatial information and the utilization of spatial examination,
demonstrating, and perception. The affirmation of the legitimacy and nature of spatial
information taking care of what's more, examination remains an extraordinary test, to some
degree, due to complex systems are frequently required for collective geospatial critical thinking
and basic leadership. These methods, when indicated as information induction work processes,
require painstakingly designed parameters and spatiotemporal determinations guided by explicit
settings and purposes. The data of spatial information ancestry and related investigation work
process is characterized as spatial provenance in this examination.
Provenance, a metadata fragment insinuating the source and the systems grasped to get a
particular geo-practical propelled component or thing, is urgent to survey the idea of spatial
information and help in imitating and reproducing geospatial structures. Regardless, the
heterogeneity and capriciousness of the geospatial forms, which can modify part of the complete
substance of datasets, clarify the requirement for depicting geospatial provenance at the dataset,
feature and trademark levels. This paper shows the use of W3C provenance, which is a
nonexclusive detail to express provenance records, for addressing geospatial data provenance at
these different levels. erence in the usage of spatial provenance in GIS applications. As a rule,
the building and execution portrayed in the paper show the need, what's more, feasibility of
bringing provenance into GIS.
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Chapter 1
Introduction:
Geospatial data has gotten expanding consideration from the standard IT world and become
fundamental for different certifiable uses. For example urban arranging, traffic examination and
emergency reaction. In the geospatial network, the exchange, sharing and representation of
geospatial information chiefly depend on various syntactic benchmarks which shape the present
answers for spatial information foundation (SDI). Such norms are chiefly from Open Geospatial
Consortium (OGC), and the vast majority of them just certification on a syntactic level, while the
semantics and information are said to be inadequate. In this way, we need a path for tending to
the semantic difficulties concerning geospatial information and learning [1].
Numerous heritage Geographic Information Systems (GIS) have been created over various
periods, for various purposes, with various structures based on various GIS programming. The
heritage GIS based on various GIS programming has its exclusive designs of system, information
models and database structures of storage. Therefore, databases of geographic-based on these
frameworks can't convey without data transformation. In any case, the transformation of data is
costly and tedious and may prompt the similarity issues for some time-critical approach, which
need continuous access to diverse data on speedy choices and take instantaneous activities [2].
Although the advancement of the World-Wide-Web (WWW) and numerous Internet GIS
provide owner approaches to enable clients to rapidly access, show and inquiry spatial
information over the web. This Internet GIS additionally has the confinements of exclusive
programming plans, information models and storage of database structures.
Issues recognized by Hakimpour and Timpf [3] with data reconciliation between various
frameworks. They portray a few issues identifying with semantic heterogeneity and create
answers to conquering these issues utilizing ontologies to make and institutionalize road join.
They additionally talk about inter-operability issues between various spatial data-set structures
and models and the need to determine semantic heterogeneity for example for similar highlights
in various data-sets gathered by various organizations having various definitions. For instance,
an element class for Main Street may have various definitions as indicated by their motivation
and application in separate offices. A further issue is that information pattern and trait structures
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