SlideShare a Scribd company logo
II-SDV Conference
20-21 April 2015, Nice
Olivier Huc
EXPLORING CITATIONS: BENEFITS AND CHALLENGES
Introduction
• Why this topic?
• Citations are often underused and underestimated by
patent professionals
• This is often due to misunderstandings and the inherent
complexity of patent citation data
• Difficulty to grasp the full picture of patents being cited
• Difficulty to explore and navigate properly citation data
• However, despite many challenges, there are
many benefits to the use of patent citations
Introduction
• Citations: the basics
• Citations: the source(s)
• Citations: why and what for?
• Citations: explore, investigate, analyse
1. Patent citations
What is a patent citation?
• A document “cited” because its content
is related to a current patent application
Who assigns citations?
• An applicant - knows, or is made aware, of
related prior art and cites it
• A patent office examiner – finds additional related documents during
searches while checking the patentability of a patent application
What can be cited?
• Anything that is publically available:
• An existing patent publication
• Scientific literature, such as a journal article
• Internet publications
• Conference proceedings, Academic publications…
Searching citations
Citation coverage, search options and visualisation tools vary
BUT searchable patent resources always allow:
• Searching and identifying both forward (citing) and backward
(cited) citations
A forward citation
A newer document (CITING the – or one of the - patent
application(s) under consideration). Therefore, a more RECENTLY
published document
A backward citation
An earlier published document (CITED by the – or one of the -
patent application(s) under consideration). Therefore, an OLDER
document.
Searching citations
The Common Citation Document (CCD)
The CCD is a free citation search resource recently developed by
the Trilateral Offices (EPO, USPTO and JPO + CN and KR) to
provide single point access to these three collections of citation
data: http://ccd.fiveipoffices.org/*
2. Citation sources
Where does citation data come from?
• Some national patent offices provide it
BUT the largest source of raw citation
data is REFI - Reference File Citation Database
What is REFI?
• Citation data collected by
The European Patent Office
from patent offices
around the world.
• Previously an independent file,
it is now incorporated into
the EPO’s data feeds.
REFI
REFI is a growing data set
Additions to REFI by The EPO in 2014*
• > 20 million cited references added to the database:
• 4 million for Japan
• 2 million for China
• 9.7 million for US grant (B1,B2)
• 3 million for US pre-grant (A1)
Latest REFI updates can be found at:
http://www.epo.org/searching/data/data/tables/regular.html
*Data courtesy of Florent Lina, EPO XML Raw Data Day presentation , 18 March 2015
Citation data
PatBase uses REFI as the backbone to its citation collection supplementing
that with national office collections, for example those from the USPTO
and the German Patent Office (DPMA)
We take multiple data sets to combat issues with collections such as:
• consistency in number formatting
• gaps or delays in data supplied
Citation relevancy indicators and citation origins bring their own problems:
• Interpretation
• Provision / consistency / only covers patents examined by EPO
At Minesoft, with the help of our partner RWS, we have initiated a complex
task to re-index all citation data to provide better citation data
• Almost all countries provide at least the citations from
the search reports
• BUT citations can be extracted from:
• Applicant filings (IDS, fulltext…)
• 3rd Party Observations
• Examination (other than Public Search Report)
• Opponent filings (during oppositions or Appeals)
• Even though the data may exist many countries do not
provide these other citations
Citation origins
Citation origins
Data holdings list of REFI
Inconsistency with provision of citation origins across countries
3. Why use citation searches?
• To benefit from the patent
examiner experience and prior
searching
• To discover other closely
related patents and literature
• To expand or enhance a keyword
search (particularly when the
technology field is new and you
are not certain of the terms or the
classifications used)
Why use citation searches?
• To analyse your own patent portfolio:
Determine your most “important” patents
- what patents are most cited and by whom?
- which of your technologies are most frequently cited?
- is there new actors citing your patents?
If it is relatively easy to extract and
review patent citations at a given point in time,
it is however a complex task to identify
the new patent citations
Why use citation searches?
• For Competitor intelligence and business information
To monitor who is citing your patents:
• Identify new citings of your patent(s)
• Discover new competitors entering your field of technology
• Find potential licensing opportunities
• Help identify white space within technologies
Minesoft’s new CiteTracker can assist you to do this.
How does CiteTracker work?
CiteTracker monitors citation activity, providing alert reports to inform clients of
any new patent citation, allowing to immediately identify:
- Who is citing their company’s / client’s patents?
- Which new competitors are entering their space?
- What licensing opportunities are emerging?
- Who is citing a particular technology?
Alerts run weekly, notification is emailed and incorporates a direct
access to the online report with the necessary tools to immediately
identify the citations (remove self-citations, easy filters, exports…)
4. Analysing citation data
How?
• Use an intuitive platform
• Access statistics / graphs
• Use visual aids such as trees and timelines
• Use filtering; for example, to select one
assignee you are interested in
• Compare claims, descriptions and
images (side by side)
• Track citation pathways
• Save or flag documents of interest
• Make notes to share with colleagues
PatBase new Citation Module aims being a
single tool for reviewing, exploring and
investigating citation data
Side-by-side Citation display
Navigating citations
Citation Statistics
Benefits of citation searches
Citation searches are not only an excellent complement to other patent
searches, they are very useful in their own right.
• Find relevant patents not found during an initial
patent classification or keyword search
• Trust in, and exploit, the expertise of the patent
examiners (they have identified documents
as pertinent)
• Gain new, and/or different, terminology to improve
your searches and your understanding of technological sectors
• Identify licensing opportunities
• Evaluate the status of a patent
Citations – potential pitfalls
• Quality of data, i.e. consistency of number formatting
• Coverage of data set searched
• Number of citations:
• The number of citations (sometimes over a hundred) applied to one
document => some platforms limit the number of available citations to 99
• Some patents receive no citations
• Difference of systems throughout the patent world
• Difference of interpretation by individuals
• Tenuous links to relationships between technologies
• Recent patents have far less forward citations than older patents -
when carrying out analysis time lags should be taken into account
Getting the most
out of citations
Citations are a valuable resource not
only for capturing documents but for
analysing and valuing patent portfolios
• Exploit the benefits
• Take into account potential pitfalls
• Find efficient resources to assist you in your searches
• Make use of available tools to aid interpretation and analysis
Thank you for your attention
Olivier Huc - olivier@minesoft.com
Follow us on
Special thanks to my colleagues Sophie Halliwell & Ian Perriman

More Related Content

What's hot

II-SDV 2016 GRIDLOGICS
II-SDV 2016 GRIDLOGICSII-SDV 2016 GRIDLOGICS
II-SDV 2016 GRIDLOGICS
Dr. Haxel Consult
 
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent DataII-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent LandscapingII-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
Dr. Haxel Consult
 
Efficient and Effective Patent Landscaping Using PatBase: a Case Study
Efficient and Effective Patent Landscaping Using PatBase: a Case Study    Efficient and Effective Patent Landscaping Using PatBase: a Case Study
Efficient and Effective Patent Landscaping Using PatBase: a Case Study
Dr. Haxel Consult
 
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
Dr. Haxel Consult
 
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...
Dr. Haxel Consult
 
II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...
II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...
II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUGII-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUG
Dr. Haxel Consult
 
II-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexisII-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexis
Dr. Haxel Consult
 
II-SDV 2016 Questel Intellixir
II-SDV 2016 Questel IntellixirII-SDV 2016 Questel Intellixir
II-SDV 2016 Questel Intellixir
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond Search
II-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond SearchII-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond Search
II-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond Search
Dr. Haxel Consult
 
II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...
Dr. Haxel Consult
 
ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques
Dr. Haxel Consult
 
II-SDV 2017: Gridlogics Technologies
II-SDV 2017: Gridlogics TechnologiesII-SDV 2017: Gridlogics Technologies
II-SDV 2017: Gridlogics Technologies
Dr. Haxel Consult
 
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
Dr. Haxel Consult
 
II-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IPII-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IP
Dr. Haxel Consult
 
ICIC 2014 Future Role of Information Professionals and Providers: Certificat...
ICIC 2014  Future Role of Information Professionals and Providers: Certificat...ICIC 2014  Future Role of Information Professionals and Providers: Certificat...
ICIC 2014 Future Role of Information Professionals and Providers: Certificat...
Dr. Haxel Consult
 

What's hot (20)

II-SDV 2016 GRIDLOGICS
II-SDV 2016 GRIDLOGICSII-SDV 2016 GRIDLOGICS
II-SDV 2016 GRIDLOGICS
 
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent DataII-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
II-SDV 2017: Spotting the Stars in your Galaxy of Patent Data
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent LandscapingII-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
II-SDV 2016 Aalt van de Kuilen - The Art of Patent Landscaping
 
Efficient and Effective Patent Landscaping Using PatBase: a Case Study
Efficient and Effective Patent Landscaping Using PatBase: a Case Study    Efficient and Effective Patent Landscaping Using PatBase: a Case Study
Efficient and Effective Patent Landscaping Using PatBase: a Case Study
 
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
II-PIC 2017: Artificial Intelligence, Machine Learning, And Deep Neural Netwo...
 
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...
II-SDV 2016 Irene Kitsara - Patent Landscape Reports and Other WIPO Activitie...
 
II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...
II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...
II-SDV 2016 Raphael Ilmer, Quentin Ladetto - Optimization of Patent Landscape...
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUGII-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUG
 
II-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexisII-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexis
 
II-SDV 2016 Questel Intellixir
II-SDV 2016 Questel IntellixirII-SDV 2016 Questel Intellixir
II-SDV 2016 Questel Intellixir
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond Search
II-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond SearchII-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond Search
II-SDV 2016 Manish Sinka - Taking Patent Research platforms beyond Search
 
II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...
 
ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques ICIC 2014 Patent Citation Analysis: Tools and Techniques
ICIC 2014 Patent Citation Analysis: Tools and Techniques
 
II-SDV 2017: Gridlogics Technologies
II-SDV 2017: Gridlogics TechnologiesII-SDV 2017: Gridlogics Technologies
II-SDV 2017: Gridlogics Technologies
 
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
ICIC 2014 Valuing IP in the Chemical Space – Science, Art and Special Conside...
 
II-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IPII-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IP
 
ICIC 2014 Future Role of Information Professionals and Providers: Certificat...
ICIC 2014  Future Role of Information Professionals and Providers: Certificat...ICIC 2014  Future Role of Information Professionals and Providers: Certificat...
ICIC 2014 Future Role of Information Professionals and Providers: Certificat...
 

Viewers also liked

II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
Dr. Haxel Consult
 

Viewers also liked (6)

II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 

Similar to II-SDV 2015, 20 - 21 April, in Nice

UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
Professor Jon Cavicchi, UNH School of Law
 
Prior Art Search - An Overview
Prior Art Search - An OverviewPrior Art Search - An Overview
Prior Art Search - An Overview
Manoj Prajapati
 
WIPS Global Brochure, New
WIPS Global Brochure, NewWIPS Global Brochure, New
WIPS Global Brochure, New
shikha gupta
 
AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...
AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...
AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...
Dr. Haxel Consult
 
Introduction to Global Patent Searching & Analysis
Introduction to Global Patent Searching & AnalysisIntroduction to Global Patent Searching & Analysis
Introduction to Global Patent Searching & Analysis
Professor Jon Cavicchi, UNH School of Law
 
Orbit Patent Search
Orbit   Patent SearchOrbit   Patent Search
Orbit Patent Search
Nurjahan M
 
Patent analysis
Patent analysisPatent analysis
Patent analysis
Swapan Patra
 
Why we need oa infrastructure - STM Association Beyond Open Access Seminar
Why we need oa infrastructure - STM Association Beyond Open Access SeminarWhy we need oa infrastructure - STM Association Beyond Open Access Seminar
Why we need oa infrastructure - STM Association Beyond Open Access Seminar
National Information Standards Organization (NISO)
 
Querying Patent Data for Empirical Scholarship : Tools and Strategies
Querying Patent Data for Empirical Scholarship : Tools and StrategiesQuerying Patent Data for Empirical Scholarship : Tools and Strategies
Querying Patent Data for Empirical Scholarship : Tools and Strategies
Professor Jon Cavicchi, UNH School of Law
 
Entrepreneurship 101 - Intellectual Property
Entrepreneurship 101 - Intellectual PropertyEntrepreneurship 101 - Intellectual Property
Entrepreneurship 101 - Intellectual Property
NORCAT
 
ICIC 2013 Conference Proceedings Sumair Riyaz Dolcera
ICIC 2013 Conference Proceedings Sumair Riyaz DolceraICIC 2013 Conference Proceedings Sumair Riyaz Dolcera
ICIC 2013 Conference Proceedings Sumair Riyaz Dolcera
Dr. Haxel Consult
 
NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...
NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...
NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...
NORCAT
 
USPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIP
USPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIPUSPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIP
USPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIP
Invention ip
 
The propensity and speed of technology licensing: at LUISS Guido Carli Univer...
The propensity and speed of technology licensing: at LUISS Guido Carli Univer...The propensity and speed of technology licensing: at LUISS Guido Carli Univer...
The propensity and speed of technology licensing: at LUISS Guido Carli Univer...
Ian McCarthy
 
ENT101 Season 3 - IP Management - Norton Rose Fulbright
ENT101 Season 3 - IP Management - Norton Rose FulbrightENT101 Season 3 - IP Management - Norton Rose Fulbright
ENT101 Season 3 - IP Management - Norton Rose Fulbright
NORCAT
 
Copyright law and your thesis
Copyright law and your thesisCopyright law and your thesis
Copyright law and your thesis
David Clay
 
InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...
InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...
InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...
Rolsy Mavi
 
Building blocks for success: criteria for trusted institutional repositories
Building blocks for success: criteria for trusted institutional repositoriesBuilding blocks for success: criteria for trusted institutional repositories
Building blocks for success: criteria for trusted institutional repositories
Academy of Science of South Africa (ASSAf)
 
Big Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential PatentsBig Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential Patents
Alex G. Lee, Ph.D. Esq. CLP
 
ICIC 2014 New Product Introduction ProQuest
ICIC 2014 New Product Introduction ProQuestICIC 2014 New Product Introduction ProQuest
ICIC 2014 New Product Introduction ProQuest
Dr. Haxel Consult
 

Similar to II-SDV 2015, 20 - 21 April, in Nice (20)

UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
 
Prior Art Search - An Overview
Prior Art Search - An OverviewPrior Art Search - An Overview
Prior Art Search - An Overview
 
WIPS Global Brochure, New
WIPS Global Brochure, NewWIPS Global Brochure, New
WIPS Global Brochure, New
 
AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...
AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...
AI-SDV 2021 - Tony Trippe - The Current State of Machine Learning for Patent ...
 
Introduction to Global Patent Searching & Analysis
Introduction to Global Patent Searching & AnalysisIntroduction to Global Patent Searching & Analysis
Introduction to Global Patent Searching & Analysis
 
Orbit Patent Search
Orbit   Patent SearchOrbit   Patent Search
Orbit Patent Search
 
Patent analysis
Patent analysisPatent analysis
Patent analysis
 
Why we need oa infrastructure - STM Association Beyond Open Access Seminar
Why we need oa infrastructure - STM Association Beyond Open Access SeminarWhy we need oa infrastructure - STM Association Beyond Open Access Seminar
Why we need oa infrastructure - STM Association Beyond Open Access Seminar
 
Querying Patent Data for Empirical Scholarship : Tools and Strategies
Querying Patent Data for Empirical Scholarship : Tools and StrategiesQuerying Patent Data for Empirical Scholarship : Tools and Strategies
Querying Patent Data for Empirical Scholarship : Tools and Strategies
 
Entrepreneurship 101 - Intellectual Property
Entrepreneurship 101 - Intellectual PropertyEntrepreneurship 101 - Intellectual Property
Entrepreneurship 101 - Intellectual Property
 
ICIC 2013 Conference Proceedings Sumair Riyaz Dolcera
ICIC 2013 Conference Proceedings Sumair Riyaz DolceraICIC 2013 Conference Proceedings Sumair Riyaz Dolcera
ICIC 2013 Conference Proceedings Sumair Riyaz Dolcera
 
NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...
NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...
NORCAT Entrepreneurship 101 2014/15 – “Intellectual Property” featuring Antho...
 
USPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIP
USPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIPUSPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIP
USPTO Patent Search : Unleash the Power of Unexplored Ideas | InventionIP
 
The propensity and speed of technology licensing: at LUISS Guido Carli Univer...
The propensity and speed of technology licensing: at LUISS Guido Carli Univer...The propensity and speed of technology licensing: at LUISS Guido Carli Univer...
The propensity and speed of technology licensing: at LUISS Guido Carli Univer...
 
ENT101 Season 3 - IP Management - Norton Rose Fulbright
ENT101 Season 3 - IP Management - Norton Rose FulbrightENT101 Season 3 - IP Management - Norton Rose Fulbright
ENT101 Season 3 - IP Management - Norton Rose Fulbright
 
Copyright law and your thesis
Copyright law and your thesisCopyright law and your thesis
Copyright law and your thesis
 
InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...
InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...
InnovationQ Plus by Mr. Paul Henriques, ex-USPTO and Product specialist/ IEEE...
 
Building blocks for success: criteria for trusted institutional repositories
Building blocks for success: criteria for trusted institutional repositoriesBuilding blocks for success: criteria for trusted institutional repositories
Building blocks for success: criteria for trusted institutional repositories
 
Big Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential PatentsBig Data Analysis for Standard Essential Patents
Big Data Analysis for Standard Essential Patents
 
ICIC 2014 New Product Introduction ProQuest
ICIC 2014 New Product Introduction ProQuestICIC 2014 New Product Introduction ProQuest
ICIC 2014 New Product Introduction ProQuest
 

More from Dr. Haxel Consult

AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering ManagementAI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
Dr. Haxel Consult
 
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
Dr. Haxel Consult
 
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
Dr. Haxel Consult
 
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
Dr. Haxel Consult
 
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
Dr. Haxel Consult
 
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
Dr. Haxel Consult
 
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
Dr. Haxel Consult
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
Dr. Haxel Consult
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
Dr. Haxel Consult
 
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
Dr. Haxel Consult
 
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
Dr. Haxel Consult
 
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
Dr. Haxel Consult
 
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
Dr. Haxel Consult
 
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
Dr. Haxel Consult
 
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
Dr. Haxel Consult
 
AI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance CenterAI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance Center
Dr. Haxel Consult
 
AI-SDV 2022: Lighthouse IP
AI-SDV 2022: Lighthouse IPAI-SDV 2022: Lighthouse IP
AI-SDV 2022: Lighthouse IP
Dr. Haxel Consult
 
AI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOCAI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOC
Dr. Haxel Consult
 
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
Dr. Haxel Consult
 
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
Dr. Haxel Consult
 

More from Dr. Haxel Consult (20)

AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering ManagementAI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
AI-SDV 2022: Henry Chang Patent Intelligence and Engineering Management
 
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
AI-SDV 2022: Creation and updating of large Knowledge Graphs through NLP Anal...
 
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
AI-SDV 2022: The race to net zero: Tracking the green industrial revolution t...
 
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
AI-SDV 2022: Accommodating the Deep Learning Revolution by a Development Proc...
 
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
AI-SDV 2022: Domain Knowledge makes Artificial Intelligence Smart Linda Ander...
 
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
AI-SDV 2022: Embedding-based Search Vs. Relevancy Search: comparing the new w...
 
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
AI-SDV 2022: Rolling out web crawling at Boehringer Ingelheim - 10 years of e...
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
 
AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...AI-SDV 2022: Machine learning based patent categorization: A success story in...
AI-SDV 2022: Machine learning based patent categorization: A success story in...
 
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
AI-SDV 2022: Finding the WHAT – Will AI help? Nils Newman (Search Technology,...
 
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
AI-SDV 2022: New Insights from Trademarks with Natural Language Processing Al...
 
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
AI-SDV 2022: Extracting information from tables in documents Holger Keibel (K...
 
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
AI-SDV 2022: Scientific publishing in the age of data mining and artificial i...
 
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
AI-SDV 2022: AI developments and usability Linus Wretblad (IPscreener / Uppdr...
 
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
AI-SDV 2022: Where’s the one about…? Looney Tunes® Revisited Jay Ven Eman (CE...
 
AI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance CenterAI-SDV 2022: Copyright Clearance Center
AI-SDV 2022: Copyright Clearance Center
 
AI-SDV 2022: Lighthouse IP
AI-SDV 2022: Lighthouse IPAI-SDV 2022: Lighthouse IP
AI-SDV 2022: Lighthouse IP
 
AI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOCAI-SDV 2022: New Product Introductions: CENTREDOC
AI-SDV 2022: New Product Introductions: CENTREDOC
 
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
AI-SDV 2022: Possibilities and limitations of AI-boosted multi-categorization...
 
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...
 

Recently uploaded

留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
uehowe
 
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
fovkoyb
 
Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!
Toptal Tech
 
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process HollowingHijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
Donato Onofri
 
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
3a0sd7z3
 
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
xjq03c34
 
Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?
Paul Walk
 
Gen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needsGen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needs
Laura Szabó
 
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
bseovas
 
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
3a0sd7z3
 
Discover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to IndiaDiscover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to India
davidjhones387
 
Design Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptxDesign Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptx
saathvikreddy2003
 
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
uehowe
 
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
uehowe
 
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
ysasp1
 
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaalmanuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
wolfsoftcompanyco
 
[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024
hackersuli
 
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
rtunex8r
 
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
k4ncd0z
 

Recently uploaded (19)

留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
 
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
 
Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!
 
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process HollowingHijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
 
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
 
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
 
Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?
 
Gen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needsGen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needs
 
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
 
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
 
Discover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to IndiaDiscover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to India
 
Design Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptxDesign Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptx
 
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
 
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
 
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
 
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaalmanuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
 
[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024
 
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
 
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
 

II-SDV 2015, 20 - 21 April, in Nice

  • 1. II-SDV Conference 20-21 April 2015, Nice Olivier Huc EXPLORING CITATIONS: BENEFITS AND CHALLENGES
  • 2. Introduction • Why this topic? • Citations are often underused and underestimated by patent professionals • This is often due to misunderstandings and the inherent complexity of patent citation data • Difficulty to grasp the full picture of patents being cited • Difficulty to explore and navigate properly citation data • However, despite many challenges, there are many benefits to the use of patent citations
  • 3. Introduction • Citations: the basics • Citations: the source(s) • Citations: why and what for? • Citations: explore, investigate, analyse
  • 4. 1. Patent citations What is a patent citation? • A document “cited” because its content is related to a current patent application Who assigns citations? • An applicant - knows, or is made aware, of related prior art and cites it • A patent office examiner – finds additional related documents during searches while checking the patentability of a patent application What can be cited? • Anything that is publically available: • An existing patent publication • Scientific literature, such as a journal article • Internet publications • Conference proceedings, Academic publications…
  • 5. Searching citations Citation coverage, search options and visualisation tools vary BUT searchable patent resources always allow: • Searching and identifying both forward (citing) and backward (cited) citations A forward citation A newer document (CITING the – or one of the - patent application(s) under consideration). Therefore, a more RECENTLY published document A backward citation An earlier published document (CITED by the – or one of the - patent application(s) under consideration). Therefore, an OLDER document.
  • 6. Searching citations The Common Citation Document (CCD) The CCD is a free citation search resource recently developed by the Trilateral Offices (EPO, USPTO and JPO + CN and KR) to provide single point access to these three collections of citation data: http://ccd.fiveipoffices.org/*
  • 7. 2. Citation sources Where does citation data come from? • Some national patent offices provide it BUT the largest source of raw citation data is REFI - Reference File Citation Database What is REFI? • Citation data collected by The European Patent Office from patent offices around the world. • Previously an independent file, it is now incorporated into the EPO’s data feeds.
  • 8. REFI REFI is a growing data set Additions to REFI by The EPO in 2014* • > 20 million cited references added to the database: • 4 million for Japan • 2 million for China • 9.7 million for US grant (B1,B2) • 3 million for US pre-grant (A1) Latest REFI updates can be found at: http://www.epo.org/searching/data/data/tables/regular.html *Data courtesy of Florent Lina, EPO XML Raw Data Day presentation , 18 March 2015
  • 9. Citation data PatBase uses REFI as the backbone to its citation collection supplementing that with national office collections, for example those from the USPTO and the German Patent Office (DPMA) We take multiple data sets to combat issues with collections such as: • consistency in number formatting • gaps or delays in data supplied Citation relevancy indicators and citation origins bring their own problems: • Interpretation • Provision / consistency / only covers patents examined by EPO At Minesoft, with the help of our partner RWS, we have initiated a complex task to re-index all citation data to provide better citation data
  • 10. • Almost all countries provide at least the citations from the search reports • BUT citations can be extracted from: • Applicant filings (IDS, fulltext…) • 3rd Party Observations • Examination (other than Public Search Report) • Opponent filings (during oppositions or Appeals) • Even though the data may exist many countries do not provide these other citations Citation origins
  • 11. Citation origins Data holdings list of REFI Inconsistency with provision of citation origins across countries
  • 12. 3. Why use citation searches? • To benefit from the patent examiner experience and prior searching • To discover other closely related patents and literature • To expand or enhance a keyword search (particularly when the technology field is new and you are not certain of the terms or the classifications used)
  • 13. Why use citation searches? • To analyse your own patent portfolio: Determine your most “important” patents - what patents are most cited and by whom? - which of your technologies are most frequently cited? - is there new actors citing your patents? If it is relatively easy to extract and review patent citations at a given point in time, it is however a complex task to identify the new patent citations
  • 14. Why use citation searches? • For Competitor intelligence and business information To monitor who is citing your patents: • Identify new citings of your patent(s) • Discover new competitors entering your field of technology • Find potential licensing opportunities • Help identify white space within technologies Minesoft’s new CiteTracker can assist you to do this.
  • 15. How does CiteTracker work? CiteTracker monitors citation activity, providing alert reports to inform clients of any new patent citation, allowing to immediately identify: - Who is citing their company’s / client’s patents? - Which new competitors are entering their space? - What licensing opportunities are emerging? - Who is citing a particular technology? Alerts run weekly, notification is emailed and incorporates a direct access to the online report with the necessary tools to immediately identify the citations (remove self-citations, easy filters, exports…)
  • 16. 4. Analysing citation data How? • Use an intuitive platform • Access statistics / graphs • Use visual aids such as trees and timelines • Use filtering; for example, to select one assignee you are interested in • Compare claims, descriptions and images (side by side) • Track citation pathways • Save or flag documents of interest • Make notes to share with colleagues PatBase new Citation Module aims being a single tool for reviewing, exploring and investigating citation data
  • 19.
  • 21. Benefits of citation searches Citation searches are not only an excellent complement to other patent searches, they are very useful in their own right. • Find relevant patents not found during an initial patent classification or keyword search • Trust in, and exploit, the expertise of the patent examiners (they have identified documents as pertinent) • Gain new, and/or different, terminology to improve your searches and your understanding of technological sectors • Identify licensing opportunities • Evaluate the status of a patent
  • 22. Citations – potential pitfalls • Quality of data, i.e. consistency of number formatting • Coverage of data set searched • Number of citations: • The number of citations (sometimes over a hundred) applied to one document => some platforms limit the number of available citations to 99 • Some patents receive no citations • Difference of systems throughout the patent world • Difference of interpretation by individuals • Tenuous links to relationships between technologies • Recent patents have far less forward citations than older patents - when carrying out analysis time lags should be taken into account
  • 23. Getting the most out of citations Citations are a valuable resource not only for capturing documents but for analysing and valuing patent portfolios • Exploit the benefits • Take into account potential pitfalls • Find efficient resources to assist you in your searches • Make use of available tools to aid interpretation and analysis
  • 24. Thank you for your attention Olivier Huc - olivier@minesoft.com Follow us on Special thanks to my colleagues Sophie Halliwell & Ian Perriman