Patent landscaping - Valgen

Patent landscaping

Danielle Lewensohn

IntroductionObjectivesMethodPatent landscapingDefinitionsPurposesMethods

ChallengesNext steps

Outline

Lewensohn & Gold 22/18/2011

Introduction


Why this research?

Support public policy development in the area of agriculture innovation

Assess performance of collaborative research efforts

Compare of proprietary vs. open source business models

Access technical knowledge

To examine the following based on a literature review:how patent landscaping is definedwhat methods of patent landscaping are

appliedwhy patent landscapes are generated

Objectives


Literature review

Multidisciplinary literature Key words applied to Scopus database:

Example key words: patent landscape, patent mapping, patent scope, patent analysis

Data time frame: year 2000-2010Data collection – fall 2010

Method


Key words


Definitions

7Lewensohn & Gold 2/18/2011

Source Definitions for patent landscape analysis, patent maps, patent mapping or patent analysis

Palazzoli et al, Genetica (2010) 138:285–299 The interest of using patent documents is, therefore, toexploit data extracted from patent databases. Consequently,a pool of patent documents resulting from a search for aspecific research topic in patent databases produces notonly the patents that protect the technology involved,including competitor models (e.g. SB, piggyBac, Tol2…),but also the technologies that can be used to exploit them.These searches, the results of which are known as patentlandscapes, are performed using dedicated computingtools, and can be exploited at two levels (ws7, Sup. Mat. 1).

Suh J.H. and Park S.C., A new visualization method for patent map: Application to ubiquitous computing technology, Lecture Notes in Computer Science , 2006

Patent map: In patent documents, structured items mean they are uniform in semantics and in format across patents such as patent number, filing date, or investors. On the other hand, the unstructured ones represent free texts that are quite different in length and content for each patent such as claims, abstracts, or descriptions of the invention. The visualized analysis results of the former items are called patent graphs and those of the later are called patent maps, although loosely patent maps may refer to both cases [2].

Yang, Y.Y. et al., Enhancing patent landscape analysis with visualization output, World Patent Information, 2010

patent landscape analysis…“a state-of-the-art [patent] search that provides graphic representations of information from search results”

EPO (European Patent Office): http://www.epo.org/patents/patent-information/business/stats/faq.html#mapping (download 14 Dec 2010)

Patent mapping is essentially the visualisation of the results of statistical analyses and text mining processes applied to patent documents.

WIPO: http://www.wipo.int/edocs/mdocs/sme/en/wipo_ip_bis_ge_03/wipo_ip_bis_ge_03_16-annex1.pdf (13 Dec 2010)

Patent Map is the visualized expression of total patent analysis results to understand complex and various patent information easily and effectively.

JPO (Japanase Patent Office), 2000: Guide Book for Practical Use of “Patent Map for Each Technology Field”

Current technological development necessitates conductingsearches of patent information to avoid unnecessaryinvestment as well as gaining the seeds for technologicaldevelopment and the applicable fields contained in the patentinformation. In order to accomplish this, visual representationof related patent information (hereinafter “Patent Map”)attracts the attention of the persons concerned. A patent mapis produced by gathering related patent information of a targettechnology field, processing, and analyzing it.

http://www.epo.org/patents/patent-information/business/stats/faq.html�

http://www.epo.org/patents/patent-information/business/stats/faq.html�

http://www.wipo.int/edocs/mdocs/sme/en/wipo_ip_bis_ge_03/wipo_ip_bis_ge_03_16-annex1.pdf (13�

http://www.wipo.int/edocs/mdocs/sme/en/wipo_ip_bis_ge_03/wipo_ip_bis_ge_03_16-annex1.pdf (13�

methods that draw on patent data to investigate the distribution – along any dimension – of exclusive rights within a given domain

Our definition for patent landscaping


How should this field be categorized?

Towards a typology of patent landscaping


Literature examples of patent landscaping


Source: Palazzoli, Genetica, 2010

Method: 2 levels see text below

Objectives:B=business discussion, P=policy discussion

Time series analysis (trend charts, e.g. no of issued patents in a country)

Patent citation analysis (i.e. citation frequency and citation relationships)

IPC analysis (e.g. patents per technology field)

Patent visualization analysis (e.g. clustering structures of patents)

Source: Huang Lu-Cheng, Li Yan, 2010, Evaluation Frame of Technological Developing Trend Based on Patent Information, 12th International Conference on Computer Modelling and Simulation

Literature examples of patent landscaping


Patent searchClaims analysisTypology (e.g. application (virus, method to

produce vaccine or kit), IPC codes)Impact (here: to what degree the patent can

be circumvented)Opposition and litigation suits

Source: Isabelle Huys, Nele Berthels, Gert Matthijs & Geertrui Van Overwalle, Nature Biotechnology, 2009

Literature example of patent landscaping


How should this field be categorized?

Objectives: e.g. to measure innovation at country, region and/or firm level, to assess patent scope (what do claims cover), to support R&D and business planning

Methods: Numerical and analyticalStakeholders: e.g. Gov, industry and academia

Towards a typology of patent landscaping


To measure innovative potential of economies (Griliches, Z. 1990, Patel, P. and Pavitt, K. 1995)

To identify technological breakthroughs (Hall, B. and M. Trajtenberg 2004)

To measure the rate of technological change in specific areas (Jaffe A.B. and M. Trajtenberg 2002)

To forecast technological developments (Ernst, H. 1997) To establish the value of patent portfolios (Glazier, S.C, 1995) More references, see Ma Z, 2009

Objectives of patent landscaping


Patent landscaping – methodological approach


Data source(s) Data element(s) Data interpreter(s)

Primary, secondary, all, n/a Structured and unstructured (Young GK et al., 2008)

Analytical or numerical

USPTO, EPO, JPO, NBER, KEINS

Patent number, inventor, filing date, assignee (patent count) and claims, abstracts, descriptions of the invention

Computer method, sciencespecialists, patent specialists (e.g. patent agents and patent examiners)

Examples of patent landscaping from the literature set


Key words list and the quantity of related issued patents


Huang Lu-Cheng, Li Yan, 2010, Evaluation Frame of Technological Developing Trend Based on Patent Information, 12th International Conference on Computer Modelling and Simulation:

Patent analysis for technology-driven roadmapping


Sungjoo Lee et al. Business planning based on technological capabilities: Patent analysis fortechnology-driven roadmapping, Technological Forecasting & Social Change 76 (2009) 769–786

Competitor’s relationship with industry basic patent


Analysis of Technology-Performance by Integrating Patent Family and Patent Citation, Kuei-Kuei Lai1, Kuang OuYang1, Calvin S. Weng2, Wen-Goang Yang3

Change detection in patent trends


M.-J. Shih et al. / Expert Systems with Applications 37 (2010) 2882–2890

Extracting the commercialization gap between science and technology


Fragmented literatureLack of standard definitionsMethodologies not always outlined in

articlesReliability of methods?Representativeness of data collected?

Challenges


The use of patent data appear to be still evolving both relating to methods and purposes of using patent data

Patent landscaping seem to be moving from laborious human efforts to computer-based approaches

Balance btw 1) subjectivity of experts, 2) automatic, standardized systems, 3)usefulness (as determined by users/stakeholders)

Best practice guides would require further empirical research…see next steps

Conclusions


STEP 1 Literature review covering multidisciplinary publications (also from the practice literature). The intention is that by going through the literature we will get a better idea of what defines a

patent landscape, why it is created, by whom and for what purpose (e.g. if you are a government you might be interested in strategic research areas of your nation to be able to allocate appropriate resources, if you are a biotech or high-tech company it might be useful to create and analyze your competitors’ patent landscape both from a business and legal (enforceability) standpoint)

STEP 2: Develop framework Here, we aim to develop a framework, where insights from step 1 will be incorporated into a

general scheme for patent landscaping.

STEP 3: Compare literature with practice by using an empirical dataset (patent data in biotech, agriculture

and or health) to create a patent landscape The intention is here to compare and contrast methods of patent landscaping identified in step 1.

(e.g. empirical analysis performed using a) numerical approach, b) patent agents and c) researchers/master/PhDs)

Next Steps


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