ii-sdv 2014 patent intelligence with bibliographic, legal status and patent register data: how...

Patent Intelligence with Bibliographic, Legal Status and Patent Register Data:How patent statistical analyses can help to improve services

Geert BoedtChristian Soltmann 15 April 2014

© 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


PATSTAT product family


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


� 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


EPO worldwide


PATSTAT

EPO Worldwide Patent Statistical Database (PATSTAT):


Database implementation

PATSTATEuropean Patent


EPO worldwide legal status database for

PATSTAT

DBMS

[…]

user1 usern[…]Interface

Excel […] SPSSRKNIME


Using PATSTAT data with popular tools


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


Processing PATSTAT data: Excel example




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






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



� sample result for wind energy sector (defined by patent class domain Y02E10/70):


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/


� sample dataflow: number of inventions in the wind energy sector:a. query PATSTAT databaseb. extract result tablec. process result table

– optionally combination with other datad. aggregate datae. display results



Processing PATSTAT data:PATSTAT database scheme


Case studies: Patent activity of industry

sectors


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


PATSTAT

NACEclassification

IPC/NACEconcordance


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


Patent activity of industry sectors

Description

Food, beverages

Tobacco products

Textiles

Wearing apparel

Leather articles

Wood products

Paper

Petroleum products, nuclear fuel

Basic chemical

Pesticides, agro-chemical products

Paints, varnishes

PharmaceuticalsSoaps, detergents, toilet preparations

Other chemicals

Man-made fibres

Rubber and plastics products

Non-metallic mineral products

Basic metals

Fabricated metal products

Energy machinery

Non-specific purpose machinery

Agricultural and forestry machinery

Machine-tools

Special purpose machinery

Weapons and ammunitionDomestic appliances

Office machinery and computers

Electric motors,generators, transformers

Electric distribution, control, wire, cable

Accumulators, battery

Lightening equipment

Other electrical equipment

Electronic components

Signal transmission, telecommunications

Television and radio receivers, audiovisual electronics

Medical equipment

Measuring instruments

Industrial process control equipmentOptical instruments

Watches, clocks

Motor vehicles

Other transport equipment

Furniture, consumer goods


Case studies: EPO-OHIM study


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



� 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


� 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-ORBISconcordance

Concordance schema

Industry classification and other information

for more than 20 million European

companies


EUROSTAT dataNACEcode



� 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

Thank you for yourattention!

Christian Soltmann

[email protected]

ii-sdv 2014 patent intelligence with bibliographic, legal status and patent register data: how...

Software

european patent office

european patent register

european patent applications

patent intelligence

access patstat data

data processing

patent statistical analyses

query patstat database