AD HOC DATA INTEGRATION FOR MOBILE GIS

APPLICATIONS

-Ramya Venkateswaran-(ramya@geo.uzh.ch)

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Contents

Introduction: Overview of the GenW2 project

Motivation: Why is Ad hoc Data Integration needed?

Research Questions: Discuss 4 research questions

Next Steps: Data Enrichment, POI Mapping

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Overview of the GenW2 Project Short for: Generalization for portrayal in

Web and Wireless mapping

Develop new methods for web and wireless mapping

Focus on ad hoc integration of heterogeneous information and on-the-fly map generalization in a mobile context.

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The GenW2 Framework

Web

Result

Internal Database

Information retrieval component

ParserRuleset & Association Component

Spatio-Temporal

Event handler

User

Privacy Controller and Firewall

Visualization

Filter & Relevance

Component

Genera-lization

Query

ParsedQuery

Unranked dataset

Ranked dataset

Image metadata

Webservices

Data

Static datasets

Facts DB

MRDB

Intelligent Ranker

Data Integrator

1

2

2

4

Data sources 3

The GenW2 Framework

Web

Result

Internal Database

Information retrieval component

ParserRuleset & Association Component

Spatio-Temporal

Event handler

User

Privacy Controller and Firewall

Visualization

Filter & Relevance

Component

Genera-lization

Query

ParsedQuery

Unranked dataset

Ranked dataset

Image metadata

Webservices

Data

Static datasets

Facts DB

MRDB

Intelligent Ranker

Data Integrator

1

2

2

4

Data sources 3

Motivation

So many data sources and so little structure

Web as a database – Too much information to ignore!

Ad hoc integration – Need based according to scenario and flavour, unlike search engines.

Importance of recording certain facts that can enrich the MRDB and the integration process.

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Research Questions 1 and 2

RQ1- DI: Methods and Sources Currently available methods of DI Different data sources in a web and mobile

environment

RQ2 – Flavour Based Integration Flavour based data integration from various

sources Ad hoc DI vs. Normal DI Tour guide – An example of pure web data

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The GenW2 Framework

Web

Result

Internal Database

Information retrieval component

ParserRuleset & Association Component

Spatio-Temporal

Event handler

User

Privacy Controller and Firewall

Visualization

Filter & Relevance

Component

Genera-lization

Query

ParsedQuery

Unranked dataset

Ranked dataset

Image metadata

Webservices

Data

Static datasets

Facts DB

MRDB

Intelligent Ranker

Data Integrator

1

2

2

4

Data sources 3

Flavour Based Integration

Flavour Based Integration with web as datasource Only web as the

database Integration of data on

Tourism Transport User feedback User Rating Facebook profile Dopplr profile

Scheduler

Research Questions 3 and 4

RQ3 – Facts DB and Data Enrichment Record valuable reusable information in the Facts DB How can each POI be enriched with more information? What kind of information can be recorded and used

for later on? RQ4 – Quality of data

Measurement of Quality? Quality of data by completeness Quality of data by correctness

Another metric for Quality Assessment Quality of data by collective user feedback Credibility rank of information in FactsDB

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Next Steps

Determine what kind of facts can help in enrichment of MRDB. Examples

Map POI with importance (obtained from client side), two levels of importance

Assess the need of also using a geo search engine. Example SPIRIT

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Thank you! Questions/

Feedback?

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Ramya Venkateswaran (ramya@geo.uzh.ch)

Demo and slides at http://www.geo.unizh.ch/~ramy

a/cosit/

References Abowd, G., Atkeson, C., Hong, J., Long, S., Kooper, R. and Pinkerton., M. 2004. Cyberguide: A mobile context

aware tour guide. Springer Netherlands ISSN1022- 0038 (Print) 1572-8196 (Online). 3(5):421-433

Arentze, T.A. and Timmermans, H.J.P. 2004. A learning-based transportation oriented simulation system. Transportation Research Part B, 38(7): 613-633

Grabler, G., Agrawala, M., Summer, R., Pauly, M. 2008. Automatic Generation of Tourist Maps. ACM Trans Graph. 27(3):1-11

Jiang, B. and Yao, X. (2006) Location-based services and GIS in perspective. Computers, Environment and Urban Systems, 30(6):712-725.

Klippel, A., and Winter, S. 2005. Structural Salience of Landmarks for Route Directions. Spatial information theory: international conference, COSIT 2005, Elliottville, NY, USA, September 14-18, 2005: 347-362

Michalowski, M., Ambite, J.L., Thakkar, S., Tuchinda, R., Knoblock, C.A. and Minton, S. 2004. Retrieving and semantically integrating heterogeneous data from the web. IEEE Intelligent Systems, IEEE Computer Society, 19(3):72-79

Peng, Z.R. and Tsou, M.H. (2003) Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks. Wiley.

Reichenbacher, T. (2004) Mobile Cartography-Adaptive Visualisation of Geographic Information on Mobile Devices. Dissertation submitted at the Institute of Photogrammetry und Cartography, Technical University, Munich.

Shiode, N., Li, C., Batty, M., Longley, P., and Maguire, D. (2003) The Impact and Penetration of Location-Based Services. In: Karimi, H. A., Hammad, A., ed. Telegeoinformatics. CRC Press, 349-366.

Thakkar, S.; Knoblock, C. and Ambite, J. (2007) Quality-driven geospatial data integration. GIS '07: Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems. 1-8.

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