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PatternsinInformationTechnology
1
Some Observations on Common Patterns in
Information Technology
Prof. Dr. Franz-Josef Behr, Stuttgart University of Applied Sciences
ICTES 2014, University of Kelaniya, Sri Lanka
http://en.wikipedia.org/wiki/University_of_Kelaniya#mediaviewer/File:Unikelruki.jpg
PatternsinInformationTechnology
2
Outline
• Introduction
• Features and collections of them, and their Identity
• Encoding
– Markup Languages, Structuring vocabularies by namespaces
– Key value pairs
– Separating information chunks
• Standards
• Openess
• Networking and Service Orientation
PatternsinInformationTechnology
3
• Field data collection
• Surveying
• Photogrammetry
• Remote sensing
• Mobile Apps
• Geodatabeses
• Spatial Data Infrastructures
• Data Harmonization
• Service oriented Architectures
• Web Mapping
• OGC WebServices
• Architectures
• Reports & Presentations
• 3D, 4D, …
PatternsinInformationTechnology
4
Complexity
PatternsinInformationTechnology
5
Reduction of
Complexity
PatternsinInformationTechnology
6
Recognition of
Pattern
PatternsinInformationTechnology
7
Features and
collections of them
PatternsinInformationTechnology
8
Features
• real world: consisting of entities /
phenomena (latin: ens: a being)
• Feature = an abstraction of real
world phenomena (ISO 19101)‖
• geographic feature: associated
with a location relative to the
Earth.
• The state of a feature is defined
by a set of properties, where each
property may be thought of as a
{name, type, value} triple.
Real worldt
Model
Entity
feature
Identity
properties
behaviour
attributes
geometry
styling properties
meta properties
Technical viewpoint,
abstraction,
generalization
relationships
PatternsinInformationTechnology
9
feature
feature
feature
feature
feature
feature
featurefeature
feature
feature
feature
feature
feature
feature
PatternsinInformationTechnology
10
Single features and collections: in GML
• FeatureCollection: a collection of GML Features, having own properties and an
optional list of Spatial Reference System Definitions. [1]
• GML feature collections are themselves valid GML features. [2]
<complexType name="AbstractFeatureCollectionType" abstract="true">
<complexContent>
<extension base="gml:AbstractFeatureType">
<sequence>
<element ref="gml:featureMember" minOccurs="0" maxOccurs="unbounded"/>
<element ref="gml:featureMembers" minOccurs="0"/>
</sequence>
</extension>
</complexContent>
</complexType>>
<element name="AbstractFeatureCollection"
type="gml:AbstractFeatureCollectionType" abstract="true"
substitutionGroup="gml:AbstractFeature" />
[1] http://www.w3.org/Mobile/posdep/GMLIntroduction.html
[2] OpenGIS Geography Markup Language (GML) Encoding Standard, v 3.2.1, http://portal.opengeospatial.org/files/?
artifact_id=20509
PatternsinInformationTechnology
11
Single features and collections: in Java
PatternsinInformationTechnology
12
Real worldt
Model
Entity
feature
Identity
properties
behaviour
attributes
geometry
styling properties
meta properties
Technical viewpoint,
abstraction,
generalization
relationships
Identity of features
• Each feature must be identifiable.
• Need of identification systems – perhaps many
• Identification also needed in networking (discussed
later)
PatternsinInformationTechnology
13
Identity of features
<gml:featureMember>
<AX_Flurstueck gml:id="DEBWL0010001UiIg">
<gml:identifier codeSpace="http://www.adv-online.de/">urn:adv:oid:DEBWL0010001UiIg</gml:identifier>
<zeigtAufExternes>
<AA_Fachdatenverbindung>
<art>urn:bw:fdv:1000</art>
<fachdatenobjekt>
<AA_Fachdatenobjekt><name>0680199400016V</name></AA_Fachdatenobjekt>
…
<position>
<gml:Surface srsName="urn:adv:crs:DE_DHDN_3GK3_BW100" gml:id="Y33">
…
<gml:Curve gml:id="Y34">
<gml:segments>
<gml:LineStringSegment>
<gml:posList>515748.750 5454798.050 515758.590 5454780.310</gml:posList>
</gml:LineStringSegment>
</gml:segments>
…
</gml:polygonPatches>
</gml:Surface>
</position>
<gemarkung>
<AX_Gemarkung_Schluessel>
<land>08</land>
<gemarkungsnummer>680</gemarkungsnummer>
</AX_Gemarkung_Schluessel>
…
<flurstueckskennzeichen>08068000300592____00</flurstueckskennzeichen>
<amtlicheFlaeche uom="urn:adv:uom:m2">290.00</amtlicheFlaeche>cou
PatternsinInformationTechnology
14
Encoding Data
PatternsinInformationTechnology
15
Encoding Data
Principle of MarkUp
• Markup Language
• Definition of structural
elements for data
• Strict syntax
End-TagElement contentStart tag with attribute
Element name Attribute name Attribute value
<person city="Karlsruhe">Franz-Josef Behr</person>
eXtensible
PatternsinInformationTechnology
16
Encoding Data
Markup Languages: XML
After:http://wwbota.free.fr/Samples/parsing.htm
• You can have your won
Markup Language
• It‘s understandable for
human beings and for
computer programs
PatternsinInformationTechnology
17
<georss:where>
<gml:Point>
<gml:pos>48.947534 8.482132</gml:pos>
</gml:Point>
</georss:where>
<georss:where>
<gml:Point>
<gml:pos>48.947534 8.482132</gml:pos>
</gml:Point>
</georss:where>
<georss:point>48.947534 8.482132</georss:point><georss:point>48.947534 8.482132</georss:point>
<?xml version='1.0' encoding='UTF-8'?>
<kml>
<Placemark>
<name>48° 56' 51.120623'' N, 8° 28' 55.675049' E</name>
<description></description>
<Point>
<coordinates>8.482132, 48.947534, 0</coordinates>
</Point>
</Placemark>
</kml>
<?xml version='1.0' encoding='UTF-8'?>
<kml>
<Placemark>
<name>48° 56' 51.120623'' N, 8° 28' 55.675049' E</name>
<description></description>
<Point>
<coordinates>8.482132, 48.947534, 0</coordinates>
</Point>
</Placemark>
</kml>
<geo:Point>
<geo:lat>48.947534</geo:lat>
<geo:long>8.482132</geo:long>
</geo:Point>
<geo:Point>
<geo:lat>48.947534</geo:lat>
<geo:long>8.482132</geo:long>
</geo:Point>
Ambiguity of names in different XML DialectsAmbiguity of names in different XML Dialects
W3C Geo
KML
GeoRSS (GML)
GeoRSS (simple)
PatternsinInformationTechnology
18
Solution: Structuring vocabularies by namespaces
In programming languages (here: Java)
In XML
In Database technology: context for database names
Source: ISO 19101, ISO 19115
PatternsinInformationTechnology
19
Key value pairs
https://www.car2go.com/api/v2.1/vehicles?
loc=stuttgart&oauth_consumer_key=car2gowebsite&format=json&callbac
k=jQuery17108792290978299311_1369324710467&_=1369324710759
In URLs to identify resources
in JSON
PatternsinInformationTechnology
20
Separating information chunks
http://www.gis-news.de/cgi-bin/mapserv.exe?
img.x=348&img.y=318&zoomdir=1&zoomsize=2&layer=city&layer=mot
orway&layer=Europe&imgext=4.296614+49.186302+7.284114+52.1749
38&imgxy=274.5+274.5
http://www.gis-news.de/cgi-bin/mapserv.exe?
img.x=348&img.y=318&zoomdir=1&zoomsize=2&layer=city&layer=mot
orway&layer=Europe&imgext=4.296614+49.186302+7.284114+52.1749
38&imgxy=274.5+274.5
In URLs to identify resources:
In GML encodings:
?
PatternsinInformationTechnology
21
Separators have to be defined:
Decimal separator (.)Decimal separator (.)
coordinate separator (,)coordinate separator (,)
tuple separator (space)tuple separator (space)
PatternsinInformationTechnology
22
Source
Data
Standards
Open
PatternsinInformationTechnology
23
Open agenda is now implemented by
the UK Government and delivering
huge cost savings for government
£409 million in the first half
of this year
Read on: https://www.gov.uk/government/news/government-bodies-must-comply-with-open-standards-
principles
PatternsinInformationTechnology
24
EU Digital Agenda and Open Data
Source: http://ec.europa.eu/digital-agenda/en/blog/eu-open-data-portal-here [2014-06-21]
PatternsinInformationTechnology
25
Source
Data
Standards
Open
Openess
• Data must be complete.
• Data must be primary.
• Data must be timely.
• Data must be accessible.
• Data must be machine-processable.
• Access must be non-discriminatory.
• Data formats must be non-proprietary.
• Data must be under an open license or license free.
• Data must have permanence and be findable over time.
• Usage costs must be affordable (de minimis).
PatternsinInformationTechnology
26
Standards
PatternsinInformationTechnology
27
Organisations and their dependencies
Establish
definition of
and terms of
engagement
in *SDI
ISO
TC 211 TC 204
JTC-1
National
Standards
Organizations
Provide
expertise &
candidate stds.
Review &
approve
stds.
Adopter/
Implementer
Community
Adopter/
Implementer
Community
OpenGIS
Consortium
(OGC)
World Wide
Web Consortium
(W3C)
Internet Engineering
Task Force (IETF)
Facilitation Bodies
• GSDI
• ANZLIC
• PCGIAP
• FGDC
• PC-IDEA
• INSPIRE
• GeoConnections
• CODI/UNECA
• AGI
• …
W3C: HTTP, PNG, RDF, SOAP/XMLP
(Web Services Activity), XML, Xlink,
Xpath, Xpointer, XSL/XSLT, XML Schema
OGC: Web Map Server,
Web Feature Server,
GML, Web Coverage
Server, Style Layer
Descriptor, Catalog
Service
ISO: Ref Model, Terminology, Conformance
testing, Profiles, Spatial Schema, Temporal
Schema, Feature Cataloguing Methodology,
Spatial Ref by Coords and Ids, Quality,
Metadata, WMS, GML, LBS, Registration of
Geo-information Items
Metadata Profile,
Data Content
Standards, etc.
Class A
liaison
XML Protocol (XMLP),
XML Signature, I18N
Class C Liaison:
XML, I18N
Modified after: http://www.fgdc.gov/library/presentations/documents/2003-
presentations/GIS_Standards_Rockies1003.ppt [2013-05-31]
• ISPRS
• ICA
•…
• ASPRS
• DGPF
• local
chapters
•…
PatternsinInformationTechnology
28
Sharing
Interoperability
PatternsinInformationTechnology
29
Networking and Service Orientation
Source: http://commons.wikimedia.org/wiki/File:Social_Network_Analysis_Visualization.png
GIS = High Complexity
= Empowering a Few
Web Services:
Simplicity =
Empowering a Billion
PatternsinInformationTechnology
30
Networking
• Uniform Resource Identifier (URI). URIs can be:
– Locations / adresses: Uniform Resource Locator (URL) , [RFC2396]
– Names: Uniform Resource Name (URN) [RFC 1737, RFC 2141, RFC 3061]
– IP-Adresses (IPv4, IPv6)
<gml:Point srsname=“urn:adv:crs:ETRS89_UTM32“>
<gml:coordinates>369949.671 5615301.383</gml:coordinates>
</gml:Point>
http://www.w3.org/Provider/Style/URI
PatternsinInformationTechnology
31
Web Gis Architecture
Internet
HTTP
Webserver
HTTP
CGI protocol
Document root
Static
resources
Server side programs
Dynamic Generation of resources
Client
"User Agent"
PNG, JPG, …
XML / SVG
DBMS
Server
Data preparation, analysis
SQL
Presentation Tier
Data Tier
Communication Tier,
Web Tier
Application Tier,
Business Logic Tier
Application
Server
IP address / Server Name / Host nameIP address
DNS Server
80
HTTP-Client
HTTP-Client
HTTP-Client
Local GIS
80
Communication TierCommunication Tier
Application TierApplication Tier
Data TierData Tier
Presentation TierPresentation Tier
PatternsinInformationTechnology
32
Internet
HTTP
Webserver
HTTP
CGI protocol
Document root
Static
resources
Server side programs
Dynamic Generation of resources
Client
"User Agent"
PNG, JPG, …
XML / SVG
DBMS
Server
Data preparation, analysis
SQL
Presentation Tier
Data Tier
Communication Tier,
Web Tier
Application Tier,
Business Logic Tier
Application
Server
IP address / Server Name / Host nameIP address
DNS Server
80
HTTP-Client
HTTP-Client
HTTP-Client
Local GIS
80
Architecture: The protocols
HTTP
RFC 2616
HTTP
RFC 2616
CGI
RFC 3875
CGI
RFC 3875
SQL
ISO/IEC 9075
SQL
ISO/IEC 9075
XML
w3.org/XML/
XML
w3.org/XML/
Content-Type
RFC 2045
Content-Type
RFC 2045
URI
RFC 1630
URI
RFC 1630
PatternsinInformationTechnology
33
Publish-Find-Bind-Pattern
Client
Web
Service Offer
Service Registry
Catalogue
publish
„bind“ =
"cosuming"
the service
Find =
"discover"
OGC GetCapabilities,
WSDL
OGC Web
Catalogue
Service,
UDDI,
Discovery
Service
Service
Comsumer,
OpenLayers
View Services,
Download Services, …
PatternsinInformationTechnology
34
Summary / Outlook
• Several observable patterns in ICT were shown.
• Try to figure out ALWAYS the design pattern in information technology
applicable for YOUR filed of work.
• Take care of standards.
• Be open regarding data, services, collaboration – be interoperable.

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Some Observations on Common Patterns in Information Technology

Hinweis der Redaktion

  1. to enableInteroperability