location-based web services for car infotainment · 2009-07-17 · geospatial web search •...
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Location-Based Web Services for Car Infotainment
Susanne Boll
University of Oldenburg &OFFIS Institute for Information Technology
01.07.20091st tubs.CITY Symposium,
Braunschweig52°16‘30"N 10°31‘43"E
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C3World projekt partnersNiedersächsisches Ministerium für
Wissenschaft und Kultur
OFFIS Oldenburg - Institut für Informatik
Technische Universität Carolo Wilhelmina zu Braunschweig
Leibniz Universität Hannover
Volkswagen Konzernforschung
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Overview
Grounding and Mapping of Location
and Content
In-Car UsageAnalysis of Web Content
Content and Location
External Sources, Maps, Indexes
Navigation and Infotainment
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Motivation• Location-related information need
• Users require location-relatedinformation
• Up to 20% location-related queriesat general search engines
• Spatial information on the Web• Estimated location references in
up to 20% of Web pages• Richer information than most
commercial databases• Valuable source of location-based
information
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Geographic Web Information Retrieval• Matching of Web information
to the real world• Semantic retrieval of location
information• Identification, extraction and
processing of geographic references
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The challenge• Harvesting, identifying, grounding,
augmenting, exploiting, visualizing location information
• Geospatial information on the Web is:• Hidden in Web pages
• Metadata: Geographic coordinates• Content: Addresses, Place names
• Scattered• Present in a variety of different non-
connected pages• Not explicitly structured
• Mostly written in the textual content with typos, omission etc. without known relation to content
<META name="geo.position"content="53.1467;8.2154">
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Geospatial Web Search• Discovery, extraction, processing
of location references• Classification of location-relevant
content• Semantic enrichment of location
and content• Hybrid search on geospatial,
textual and further semanticaspects
Coordinate: 53.146712°N 8.215467°E
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Geospatial Retrieval Processes
discover
understand
augment
explore
crawling
geoparsing
link analysis
identification mining scope analysis
semantic enrichment
location extension
visualization
interaction
feedback integration
annotation
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Spatial search as new applicationfor in-car infotainment• Understanding of spatial
characteristics• Efficient geospatial search engine• In-car Search
• Special (mobile) requirements and information needs
• Information for the here and now
• Development towards integratedhigh-value services
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Requirements of car-based search• Crawling, indexing and querying of Web
content• Location- and route-specific content• Information for drivers and passengers
• Search interaction• Spontaneous and ‚standing‘ search
• Visualization within the car systems• Preprocessing and presentation
• Integration• Communication of car and search engine• Context processing• Connection to car and navigation systems
discover
understand
augment
explore
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Architecture
Spatial Web Index
Query Engine
Webcrawler, Indexer, Geoparser
Cont
ext
In-Car System
Car-To-X
Search Engine
Presentation, Visualization,
Interaction
Preprocessing,Context Processing
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Context in the car• Context for improvement of search results
and situation-aware presentation• Adaptation to situation and information need• Spatial context
• Position, route, destination,…
• Additional context available in the car• CanBUS• Duration of trip• User profile• Familiarity with route• Type of trip• …
In-Car Context
Automotive Context
Spatial Context
User Context
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Spatial context is more than position• Route estimation, departure,
destination, speed, time, distances, …
• Support of mobile users‘information needs
• Result adaptation in mobile IR• Spatial Query + Spatial Filters +
Spatial Ranking Spatial Search• Hybrid search: combination of
spatial and textual features
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Interface and Presentation• Challenges
• Restricted interaction• Restricted attention• Fast mobile movement
• User interaction• Intuitive query formulation and
handling• Use of rich context information• Dynamic interaction and exploration
• Presentation of content• Preprocessing and adaptive
visualization• Use of semantic aspects to match query
and content
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Conclusion• Spatial search as new application for
in-car infotainment• Spatial search engines for trip-based
and roadside information• Navigation as ‚smart passenger‘• Research challenges in
• Web search• Geographic information retrieval• HMI• Automotive Infotainment
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Q&A
Susanne BollMedia Informatics and Multimedia Systems
University of Oldenburg, Oldenburg, [email protected]
53° 8′ 55.9″ N 8° 12′ 0.43″ E