Contenu connexe Similaire à II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria) (20) Plus de Dr. Haxel Consult (20) II-SDV 2014 Patent Intelligence with Bibliographic, Legal Status and Patent Register Data: How patent statistical analyses can help to improve services (Christian Soltmann, European Patent Office – Austria)1. Patent Intelligence with Bibliographic,
Legal Status and Patent Register Data:
How patent statistical analyses can help to
improve services
Geert Boedt
Christian Soltmann 15 April 2014
2. © European Patent Office 2014
Outline
PATSTAT product family
Using PATSTAT data with popular tools:
– Excel example
– KNIME example
Case studies:
– patent activity of industry sectors
– EPO-OHIM study
4. © European Patent Office 2014
EPO Worldwide Patent Statistical
Database (PATSTAT):
unique basis for conducting sophisticated
statistical analyses of patent data
bibliographic data on more than 80 million patent
documents from leading industrialized and
developing countries
can be supplemented by:
– legal event data of patent documents in many
countries worldwide
– European patent register data: Bibliographic,
legal and procedural information on published
European patent applications and on published
EURO-PCT applications
EPO
Worldwide
Patent
Statistical
Database
(PATSTAT)European
Patent
Register for
PATSTAT
EPO
worldwide
legal status
database for
PATSTAT
5. © European Patent Office 2014
updated twice a year
possible fields of application include:
– sophisticated citation analyses
– linking patent data to business and trademark data
– identifying technological trends
– identifying competitors and potential partners
EPO
Worldwide
Patent
Statistical
Database
(PATSTAT)European
Patent
Register for
PATSTAT
EPO
worldwide
legal status
database for
PATSTAT
EPO Worldwide Patent Statistical
Database (PATSTAT):
6. © European Patent Office 2014
Database implementation
PATSTAT
European Patent
Register for
PATSTAT
EPO worldwide legal
status database for
PATSTAT
DBMS
[…]
user1 usern[…]Interface
Excel […] SPSSRKNIME
8. © European Patent Office 2014
Accessing PATSTAT data
various options available to access
PATSTAT data, including using:
– a database management system (e.g.
MySQL, Microsoft SQL Server)
– a statistical tool (e.g. SPSS, R)
– a data mining tool, e.g. KNIME
– office software, e.g. Microsoft Access,
Microsoft Excel
9. © European Patent Office 2014
Processing PATSTAT data: Excel example
PATSTAT
European Patent
Register for
PATSTAT
EPO worldwide legal
status database for
PATSTAT
DBMS
ODBC
Excel
VBA scripting:
technical features of procedure is
hidden from end user
procedure:
a.creating ActiveX Data Objects
for accessing data objects on
DBMS:
– Connection object to
establish connection to DBMS
via ODBC and to have SQL
query run
– Recordset object to accept
result set of SQL query
b.result set is processed with
PivotTable and PivotChart object
c.graphs may be coordinated to
corporate design
10. © European Patent Office 2014
Processing PATSTAT data: Excel example
PATSTAT
European Patent
Register for
PATSTAT
EPO worldwide legal
status database for
PATSTAT
DBMS
ODBC
Excel
VBA scripting:
– technical features of procedure is
hidden from end user
– procedure:
a.creating ActiveX Data Objects
for accessing data objects on
DBMS:
• Connection object to
establish connection to DBMS
via ODBC and to have SQL
query run
• Recordset object to accept
result set of SQL query
b.result set is processed with
PivotTable and PivotChart object
c.graphs may be adjusted to
corporate design
11. © European Patent Office 2014
Processing PATSTAT data: Excel example
sample result for wind energy sector (defined by
patent class domain Y02E10/70):
12. © European Patent Office 2014
Processing PATSTAT data: KNIME example
open source data analytics, reporting and integration
platform
modular data pipelining concept
graphical user interface allowing to assembly nodes
for data processing
further information available at: http://www.knime.org/
13. © European Patent Office 2014
sample dataflow: number of inventions in the wind
energy sector:
a. query PATSTAT database
b. extract result table
c. process result table
– optionally combination with other data
d. aggregate data
e. display results
Processing PATSTAT data: KNIME example
20. © European Patent Office 2014
Patent activity of industry sectors:
Motivation
interest in patent activity as a proxy for the input side of
innovation
target groups:
– investors
– policy makers
procedure: linking patent data and business data to identify
industry sectors with high patent/innovation activity
EPO
Worldwide
Patent
Statistical
Database
(PATSTAT)European
Patent
Register for
PATSTAT
EPO
worldwide
legal status
database for
PATSTAT
NACE
classification
IPC/NACE
concordance
21. © European Patent Office 2014
Patent activity of industry sectors
procedure:
– categorisation of patent documents according to
so-called (manufacturing) sectoral fields [based on
IPC/NACE concordance table (Schmoch et al.
(2003)]
– determining the number of inventions per year of
invention for the said sectoral fields
– data normalisation, to 1980
22. © European Patent Office 2014
Patent activity of industry sectors
Description
Food,beverages
Tobaccoproducts
Textiles
Wearing apparel
Leather articles
Wood products
Paper
Petroleum products,nuclearfuel
Basic chemical
Pesticides,agro-chemicalproducts
Paints, varnishes
Pharmaceuticals
Soaps,detergents,toilet preparations
Other chemicals
Man-made fibres
Rubber and plastics products
Non-metallic mineralproducts
Basic metals
Fabricated metalproducts
Energy machinery
Non-specific purpose machinery
Agriculturaland forestry machinery
Machine-tools
Specialpurpose machinery
Weapons and ammunition
Domestic appliances
Office machineryand computers
Electric motors,generators,transformers
Electric distribution,control,wire,cable
Accumulators,battery
Lightening equipment
Other electricalequipment
Electronic components
Signaltransmission,telecommunications
Television and radio receivers,audiovisualelectronics
Medicalequipment
Measuring instruments
Industrialprocess controlequipment
Optical instruments
Watches, clocks
Motor vehicles
Other transportequipment
Furniture,consumer goods
24. © European Patent Office 2014
Example: Linking patent data,
trademark data and design data:
Joint project of European Patent Office and the Office for
Harmonization in the Internal Market (OHIM):
– purpose: to examine economic characteristics of
IP-intensive industries in Europe
– methodology:
determine which industries use IP rights more than
others
determine employment and value added generated in
those industries
determine weight of IP-intensive industries in Europe
25. © European Patent Office 2014
Example: Linking patent data,
trademark data and design data:
methodological challenge:
– complexity of dealing with a large amount of data from
27 EU member states, contained in several databases
– novel and sophisticated data-matching technique was
needed, including extensive data preparation/name
harmonisation
in order to determine which industries are IP-intensive:
– matching EPO's Worldwide Patent Statistical Database
(PATSTAT) and OHIM's register database with
commercial ORBIS database and EUROSTAT data
26. © European Patent Office 2014
Linking patent data, trademark data and design data to
determine IP intensive industries:
Patent
applications
published and
patents granted by
EPO
Community
trademarks and
registered
community
designs
EPO's PATSTAT database OHIM's register database
ORBIS database
PATSTAT-
ORBIS
concordance
OHIM-ORBIS
concordance
Concordance schema
Industry classification
and other information
for more than 20
million European
companies
Example: Linking patent data,
trademark data and design data:
EUROSTAT dataNACE
code
27. © European Patent Office 2014
Example: Linking patent data,
trademark data and design data:
Results include:
– about half of European industries can be considered IP-
intensive
– total number of IP-dependent jobs: about 77 million (35
per cent of all jobs)
– IP-intensive industries pay significantly higher wages
than other industries
– value added per employee is higher in IP-intensive
industries than elsewhere in European economy
further information available at:
http://ec.europa.eu/internal_market/intellectual-
property/studies/index_en.htm
28. Thank you for your
attention!
Christian Soltmann
csoltmann@epo.org