Ontologydriven spatial information retrieval in GRIP

1
Ontology-driven spatial information retrieval in
GRIP

• Naicong Li, Nathan Strout, Steve Paplanus,
  Thomas Leuteritz
• University of Redlands
• Redlands, CA USA
• AAG 2007, San Francisco

2
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

3
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Knowledge organization and information retrieval
  for data with heterogeneous format, syntax, and
  semantics
• Use GRIP as development platform, use desert
  tortoise recovery plan data repository as project
  data
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

4
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Knowledge organization and information retrieval
  for data with heterogeneous format, syntax, and
  semantics
• Use GRIP as development platform, use desert
  tortoise recovery plan data repository for
  project data
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

5
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Open service architecture
• Supports distributed processing
• Search data with heterogeneous data format
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

6
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Open service architecture
• Supports distributed processing
• Search data with heterogeneous data format
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

7
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Open service architecture
• Supports distributed processing
• Search data with heterogeneous data format
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

8
GRIP Services Layout
Gazetteer Sources Custom geodatabase Alexandria
Digital Library (ADL) USGS GNIS Microsoft
MapPoint
GRIP Spatial Search WS (ArcGIS Server) Handles
map-based and placename searches
Document/Media Storage File System RDBMS MS
SharePoint
User Interface Web-Based Options ASP.NET MS
SharePoint WPF-E Desktop-Based
Options WPF Windows
GRIP Search WS Abstracts GRIP services as well as
handles content aggregation and clustering
Indexes/Metadata Catalogs Relies on sources
search engine and/or optional custom search
engine and taxonomies/ontologies for enhanced
results
GRIP Data Search WS Handles text searching
including keyword and metadata searching
GIS Data Storage/Distribution Services ArcSDE ArcG
IS Server Services ArcIMS Services
9
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Desert tortoise declared endangered species
• USFWS recovery plan identifying critical habitat
  units (CHU) and recommended recover actions
• CHUs under management of various agencies BLM,
  NPS, military bases, etc.
• Centralized data repository with digital library
  and GIS data
• GRIP to provide framework underlying the
  information portal for the data repository
• Information retrieval requirement analysis
• System design
• Future work

10
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Desert tortoise declared endangered species
• USFWS recovery plan identifying critical habitat
  units (CHU) and recommended recover actions
• CHUs under management of various agencies BLM,
  NPS, military bases, etc.
• Centralized data repository with digital library
  and GIS data
• GRIP to provide framework underlying the
  information portal for the data repository
• Information retrieval requirement analysis
• System design
• Future work

11
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Desert tortoise declared endangered species
• USFWS recovery plan identifying critical habitat
  units (CHU) and recommended recover actions
• CHUs under management of various agencies BLM,
  NPS, military bases, etc.
• Centralized data repository with digital library
  and GIS data
• GRIP to provide framework underlying the
  information portal for the data repository
• Information retrieval requirement analysis
• System design
• Future work

12
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Desert tortoise declared endangered species
• USFWS recovery plan identifying critical habitat
  units (CHU) and recommended recover actions
• CHUs under management of various agencies BLM,
  NPS, military bases, etc.
• Centralized data repository with digital library
  and GIS data
• GRIP to provide framework underlying the
  information portal for the data repository
• Information retrieval requirement analysis
• System design
• Future work

13
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Desert tortoise declared endangered species
• USFWS recovery plan identifying critical habitat
  units (CHU) and recommended recover actions
• CHUs under management of various agencies BLM,
  NPS, military bases, etc.
• Centralized data repository with digital library
  and GIS data
• GRIP to provide framework underlying the
  information portal for the data repository
• Information retrieval requirement analysis
• System design
• Future work

14
GIS DATA SDE GEOSPATIAL DATABASE

• 147 tortoise related feature classes
• 501 base map feature classes
• 26 raster data sets
• All with FGDC compliant metadata

• ESRI

• ESRI

15
DTP RESOURCE LIBRARY

• The DTP Library is a searchable repository in
  Sharepoint, combining all the project resources.
  The digital library includes 4000 items.
• The documents are sorted in the following
  categories
• Free form text documents
• Images
• Maps

16
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• Improve interoperability among heterogeneous data
• Allow integrated queries for GIS and non GIS data
• Organize query results semantically
• Facilitate knowledge discovery
• System design
• Future work

17
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• Improve interoperability among heterogeneous data
• Allow integrated queries for GIS and non GIS data
• Organize query results semantically
• Facilitate knowledge discovery
• System design
• Future work

18
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• Improve interoperability among heterogeneous data
• Allow integrated queries for GIS and non GIS data
• Organize query results semantically
• Facilitate knowledge discovery
• System design
• Future work

19
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• Improve interoperability among heterogeneous data
• Allow integrated queries for GIS and non GIS data
• Organize query results semantically
• Facilitate knowledge discovery
• System design
• Future work

20
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Integrated solution to knowledge organization and
  information retrieval
• Ontology development
• Ontology-based information organization
• Ontology-based information retrieval
• Making implicit information in data explicit
• Future work

21
Ontology-driven spatial information retrieval in
GRIP

• System design -- Integrated solution to knowledge
  organization and information retrieval

22
Ontology-driven spatial information retrieval in
GRIP

• System design -- Integrated solution to knowledge
  organization and information retrieval

Knowledge organization
23
Ontology-driven spatial information retrieval in
GRIP

• System design -- Integrated solution to knowledge
  organization and information retrieval

Information retrieval
24
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology development
• Application domain specific and project specific

25
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology development
• Application domain specific and project specific
• Based on a controlled vocabulary agreed upon by a
  user community
• Prototype ontology being developed for system
  design and testing purposes

26
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology development
• Application domain specific and project specific
• Based on a set of controlled vocabulary agreed
  upon by a user community
• Prototype ontology being developed for system
  design and testing purposes
• Categories, instances, attributes, relations

27
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology development
• Application domain specific and project specific
• Based on a set of controlled vocabulary agreed
  upon by a user community
• Prototype ontology being developed for system
  design and testing purposes
• Categories, instances, attributes, relations
• All the concepts have corresponding natural
  language expression(s)

28
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology development
• Application domain specific and project specific
• Based on a set of controlled vocabulary agreed
  upon by a user community
• Prototype ontology being developed for system
  design and testing purposes
• Categories, instances, attributes, relations
• All the concepts have corresponding natural
  language expression(s)
• Axioms defined based on project needs

29
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology development
• Application domain specific and project specific
• Based on a set of controlled vocabulary agreed
  upon by a user community
• Prototype ontology being developed for system
  design and testing purposes
• Categories, instances, attributes, relations
• All the concepts have corresponding natural
  language expression(s)
• Axioms defined based on project need
• In OWL-DL

30
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology development
• Application domain specific and project specific
• Based on a set of controlled vocabulary agreed
  upon by a user community
• Prototype ontology being developed for system
  design and testing purposes
• Categories, instances, attributes, relations
• All the concepts have corresponding natural
  language expression(s)
• Axioms defined based on project need
• In OWL-DL
• Using SWEET as upper level ontology

31
Ontology-driven spatial information retrieval in
GRIP
32
Ontology-driven spatial information retrieval in
GRIP
Natural language expression
Attribute and relation definitions
Instances
33
Ontology-driven spatial information retrieval in
GRIP
Causal relationship
Threat factor categories
34
Ontology-driven spatial information retrieval in
GRIP

• Example of inverse relations
• manages managedBy
• predatorOf hasPredator
• Example of transitive relations causal relation
• Between threat factors and tortoise population
  reduction
• Among threat factors

35
Ontology-driven spatial information retrieval in
GRIP

• Example of inverse relations
• manages managedBy
• predatorOf hasPredator
• Example of transitive relations causal relation
• Between threat factors and tortoise population
  reduction
• Among threat factors
• Landfill ravens
  tortoise population reduction

36
Ontology-driven spatial information retrieval in
GRIP

• Example of inverse relations
• manages managedBy
• predatorOf hasPredator
• Example of transitive relations causal relation
• Between threat factors and tortoise population
  reduction
• Among threat factors
• Landfill ravens
  tortoise population reduction
• Landfill habitat extent loss
  tortoise population reduction

37
Ontology-driven spatial information retrieval in
GRIP

• Example of inverse relations
• manages managedBy
• predatorOf hasPredator
• Example of transitive relations causal relation
• Between threat factors and tortoise population
  reduction
• Among threat factors
• Landfill ravens
  tortoise population reduction
• Landfill habitat extent loss
  tortoise population reduction
• Grazing habitat extent loss
  tortoise population reduction

38
Ontology-driven spatial information retrieval in
GRIP

• Example of inverse relations
• manages managedBy
• predatorOf hasPredator
• Example of transitive relations causal relation
• Between threat factors and tortoise population
  reduction
• Among threat factors
• Landfill ravens
  tortoise population reduction
• Landfill habitat extent loss
  tortoise population reduction
• Grazing habitat extent loss
  tortoise population reduction
• Grazing soil compaction
  habitat degradation
• tortoise population
  reduction

39
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Integrated solution to knowledge organization and
  information retrieval
• Ontology development
• Ontology-based information organization
• Ontology-based information retrieval
• Making implicit information in data explicit
• Future work

40
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  organization
• Mapping between concepts in the ontologies and
• data in geodatabases
• Text documents (keyword field in metadata)

41
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  organization
• Mapping between concepts in the ontologies and
• data in geodatabases
• Text documents (keyword field in metadata)
• Registration mappings a set of rules
  describing the association between semantic types
  and structural types
• Xquery for xml data source
• SQL expression for relational database data
  source
• Bowers Ludascher 2004

42
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  organization
• Mapping between concepts in the ontologies and
• data in geodatabases
• Text documents (keyword field in metadata)
• Registration mappings a set of rules
  describing the association between semantic types
  and structural types
• Xquery for xml data source
• SQL expression for relational database data
  source
• Including mapping between process/service
  concepts and geoprocessing tools
• Bowers Ludascher 2004
• Lutz Klein 2006

43
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Integrated solution to knowledge organization and
  information retrieval
• Ontology development
• Ontology-based information organization
• Ontology-based information retrieval
• Making implicit information in data explicit
• Future work

44
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  retrieval
• User query types
• Browsing (guided by ontologies)
• Searching (query keyword ? concept in ontologies
  query expansion guided by ontologies)
• Retrieving GIS and non GIS data through the same
  query UI
• Query results organized semantically by the
  ontology
• Guarino 1998, Fonseca et al 2002

45
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  retrieval
• User query types
• Browsing (guided by ontologies)
• Searching (query keyword ? concept in ontologies
  query expansion guided by ontologies)
• Retrieving GIS and non GIS data through the same
  query UI
• Query results organized semantically by the
  ontology
• Fu et al 2005

46
Ontology-driven spatial information retrieval in
GRIP

• Live demo for design concept

47
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  retrieval
• User query types
• Browsing (guided by ontologies)
• Searching (query expansion guided by ontologies)
• Retrieving GIS and non GIS data through the same
  query UI
• Query results organized semantically by the
  ontology

48
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  retrieval
• User query types
• Browsing (guided by ontologies)
• Searching (query expansion guided by ontologies)
• Retrieving GIS and non GIS data through the same
  query UI
• Query results organized semantically by the
  ontology

49
Ontology-driven spatial information retrieval in
GRIP

• System design -- Ontology-based information
  retrieval
• User query types
• Browsing (guided by ontologies)
• Searching (query expansion guided by ontologies)
• Retrieving GIS and non GIS data through the same
  query UI
• Query results organized semantically by the
  ontology
• System design -- Ontology-based information
  retrieval
• Making implicit information in data explicit

50
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

51
Ontology-driven spatial information retrieval in
GRIP

• Objective
• Geographically Referenced Information Portal
  (GRIP)
• Desert tortoise recovery plan data repository
• Information retrieval requirement analysis
• System design
• Future work

52
Ontology-driven spatial information retrieval in
GRIP

• Future Work
• Implement the prototype
• Registration mapping
• Automatic symbolization during GIS layer display
• UI for GIS layer ordering, show/hide option
• Full text annotation
• Document relevance ranking
• Applying NLP for text disambiguation

53
Redlands InstituteUniversity of Redlands1200 E.
Colton Ave.Redlands, CA 92373909-748-8268www
.redlands.edu/redlandsinstitute
Naicong Li, Nathan Strout, Steve Paplanus,
Thomas Leuteritz Naicong_Li_at_institute.redlands.ed
u Nathan_Strout_at_institute.redlands.edu Steve_Papla
nus_at_institute.redlands.edu Thomas_Leuteritz_at_instit
ute.redlands.edu