Transcript Public Access to Cadastral and Land Registry Data in

Public Access to Cadastral and Land
Registry Data in Slovakia
Rastislav Wartiak
Project Manager, Ness Czech
WPLA Workshop, March 5, 2010, Baku
© 2009 Ness Technologies – Proprietary and Confidential
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18 countries in 4 geographic regions
About 7,800 employees
Strong presence in Europe
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Ness and Cadastre/Land Registry
Czech Republic
►
doing business since 1997 – Czech Office for Surveying, Mapping and Cadastre
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development of Information System of Cadastre of Real Estates
• covers all processes related to cadastre and land registry within the organization
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includes Internet access to data
• interactive web pages and web services (XML)
• generates documents with electronic signature
• supports e-conveyancing, in some cases even prepares the change automatically
Slovakia
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first project started in 2003 - Geodetic and Cartographic Institute
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publishing cadastral/land registry data from legacy systems – Cadastral Portal
• access to all public data is now for free
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development of new “core” system started in 2009
• it will replace all current systems and integrate all tasks and data into one
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Cadastre and Land Registry in Slovakia
Joint cadastre and land registry
8 regional offices
72 local offices
►
responsible for local data
10 individual systems maintaining the data
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only partially interconnected
central database maintained as off-line copy
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updated every weekend
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Presenting data on the web – original system
100 concurrent users
3.000 outputs per day
Only registered users
Pre-paid or post-paid billing
Updated once a week
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during weekend
Outputs were not legal documents
All users had to pay for data in the beginning
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very low usage
Later, some government agencies were granted free access
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increase in system workload
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Thousands per Year
Original system - number of queries/outputs
600
Title
500
Map
Owner
400
300
200
100
0
2004
2005
2006
2007
Upgrade – free access to the data
Slovak government decided to offer the data for free
To improve public services and transparency
5.000 concurrent users
120.000 outputs per day
Most of the users will be inexperienced
with the terminology
Result:
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HW upgrade
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SW redesign
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Thousands per Week
First three months - queries/outputs per week
1200
Title
1000
Map
Owner
800
600
400
200
0
1
2
3
4
5
6
7
8
9
10
11
12
Millions per month
New system - number of queries/outputs
2.5
2
Title
Map
Owner
1.5
1
0.5
0
Thousands per day
Distribution during a week
30
Title
Map
25
Owner
20
15
10
5
0
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Per Hour
Distribution during a day
1800
Title
1600
Map
Owner
1400
1200
1000
800
600
400
200
0
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
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Per Hour
Distribution during a week
3000
Title
2500
Map
Owner
2000
1500
1000
500
0
Problems encountered – Performance
Very high demand during first few days
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lowered to “regular” workload in three months
Scaling infrastructure for this period is expensive
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only part of the HW is used after start-up period
Using fewer resources results in system inaccessibility
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this occurs during media coverage – new service is promoted
Plan your new services in waves
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once one service becomes common add a new one
Run other systems on part of the infrastructure
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combine new system implementation with HW upgrade for another one
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Problems encountered – Incorrect data
Data in the system does not always contain current and valid data
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paper archive is still the master
Data fields contain mixed values
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e.g. “Last name” field contains first name, last name and social security number
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legacy systems did not contain structured data, not all was migrated correctly
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private data is displayed even though system does not reveal these fields
Invite users to help to make the data better
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implement simple “Report data problem” links and forms
Define patterns of “public” or “sensitive” data and run checks
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e.g. numbers are not common in name
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Problems encountered – Data misuse
Data is public for querying but not for making copies
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only some types of queries are allowed, copy allows data mining
Copying affects performance
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it can increase workload significantly
Introduce “copy text from this screwed picture” test
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humans can (usually) solve it, computers (usually) can not
Limit number of queries during time period from one IP address
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human can not generate more than a few queries in a minute
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Thank you
Rastislav Wartiak
Project Manager, Ness Czech
[email protected]