42 Copyright © 2010 Open Geospatial Consortium the process such as feature prioritization, attribute handling, coding standard conversions,
and more, and be applicable to the core conflation processing as well as pre- conflation data setup and preparation steps.
A service-oriented architecture is well suited to support distributed conflation rules services. A rule “provider” could define custom rules and make those rules available to
conflation services and applications. We envision two use cases for handling conflation rules services, 1 where the client only supports predefined sets of rules and 2 where the
client allows user customization of the conflation rules. OGC 07-160r1
9.2 OWS-7 FDF Implementations
9.2.1 OWS-7 FDF Overview
Recommendations from the Fusion Study Phase 1 were implemented in the Feature and Decision Fusion FDF thread of the OWS-7 Testbed. OWS-7 FDF built on the OWS-6
Geoprocessing Workflow and Decision Support Services work, to advance common interfaces for information cataloguing and sharing, feature and statistical analysis,
synchronization of multiple geospatial databases, Web Processing Services WPS profiles, and the Integrated Client. Task areas for FDF in OWS-7 were:
o Schema Automation: Transformation of NGA Application Schema NAS from
UML to profiles of GML and KML. o
Data Discovery, Organization and Sharing: Use of thematic categories in multi- source data discovery, including augmented metadata for quality of source, and
fitness for use. Organize in OWS Context documents—the analyst’s information resource “shoebox”.
o Feature and Statistical Analysis FSA: WPS profiles for feature fusion, including
statistical analysis, vector and topological processing. o
Geosynchronization: Components to support synchronization of geospatial data and updates across a formal or ad hoc Spatial Data Infrastructure SDI.
o Alerting: Fuse alerts with geospatial analysis using OASIS Common Alerting
Protocol CAP format. o
Integrated Client: A field-ready client application to support and display sensor information, cataloguing metadata, notification alerts, statistical analyses, and
save it all in a Context document.
Copyright © 2010 Open Geospatial Consortium 43
Table 4 - OWS-7 FDF Thread Implementations
FD F Se r vice s Com pon e n t s Pa r t icipa n t s
ShapeChange UGAS Enhancem ent s int er act iv e inst r um ent s
ShapeChange ext ension for KML 2.2 int er act iv e inst r um ent s
Aut om at ion of I SO 19139 com pliant m et adat a fr om NAS
int er act iv e inst r um ent s Aut hor it at iv e Dat a Sour ce Dir ect or y ser vices
Com pusult , ERDAS WPS for Feat ur e and St at ist ical Analysis
I nt er gr aph, 52Nor t h Ser v ices for Feat ur e and St at ist ical Analy sis
lat lon Geosynchr onizat ion ser vice, including CAP
Car bon Pr oj ect Geosynchr onizat ion client
Car bon Pr oj ect “ Em bedded” Geosy nchr onizat ion ser vice client
GI S Cent er , Feng Chia Univ “ Em bedded” WFS- T for geosynchr onizat ion w it h
m obile dev ices CubeWer x
WFS- T for deskt op synchr onizat ion CubeWer x
I nt egr at ed Client s I nt er gr aph, ESRI
Table 5 - OWS-7 FDF Thread Engineering Reports
FD F En gin e e r in g Re por t s Pa r t icipa n t s
OGC D oc
Schem a Aut om at ion int er act iv e
inst r um ent s 10- 088r1
Feat ur e and St at ist ical Analysis Univ Muenst er I fGI
10- 074 Aut hor it at iv e Dat a Sour ce Dir ect or y
For t iusOne, Env it ia 10- 086
I nfor m at ion Shar ing, including OWS Cont ext I nt er gr aph, LI SAsoft
10- 035r 1 Geo- synchr onizat ion, including CAP
CubeWer x 10- 069
WPS Pr ofiling, w it h cr oss- t hr ead coor dinat ion lat lon
10- 059
9.2.2 WPS for Fusion
