Location-Based Web Services for Car Infotainment

Transcription

1 Location-Based Web Services for Car Infotainment Susanne Boll University of Oldenburg & OFFIS Institute for Information Technology st tubs.city Symposium, Braunschweig "N "E

2 C3World projekt partners Niedersächsisches Ministerium für Wissenschaft und Kultur OFFIS Oldenburg - Institut für Informatik Technische Universität Carolo Wilhelmina zu Braunschweig Leibniz Universität Hannover Volkswagen Konzernforschung

3 Overview Analysis of Web Content Content and Location Grounding and Mapping of Location and Content External Sources, Maps, Indexes In-Car Usage Navigation and Infotainment

4 Motivation Location-related information need Users require location-related information Up to 20% location-related queries at 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

5 Geographic Web Information Retrieval Matching of Web information to the real world Semantic retrieval of location information Identification, extraction and processing of geographic references

6 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 nonconnected pages Not explicitly structured Mostly written in the textual content with typos, omission etc. without known relation to content <META name="geo.position" content=" ;8.2154">

7 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 semantic aspects Coordinate: N E

8 Geospatial Retrieval Processes crawling geoparsing link analysis identification discover mining understand scope analysis augment semantic enrichment location extension feedback annotation explore interaction integration visualization

9 Spatial search as new application forin-carinfotainment 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 integrated high-value services

10 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 explore augment

11 Architecture Search Engine In-Car System Webcrawler, Indexer, Geoparser Spatial Web Index Presentation, Visualization, Interaction Query Engine Preprocessing, Context Processing Context Car-To-X

12 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

13 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

14 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

15 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

16 Q&A Susanne Boll Media Informatics and Multimedia Systems University of Oldenburg, Oldenburg, Germany N E