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Intellectual Property Analytics Turning Unstructured Information Into Value

Intellectual Property Analytics Turning Unstructured Information Into Value. Jeffrey T. Kreulen, Ph.D. kreulen@almaden.ibm.com W. Scott Spangler spangles@almaden.ibm.com. Innovation is About More Than Building a Better Mouse Trap …. It’s About Beating The Competition ….

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Intellectual Property Analytics Turning Unstructured Information Into Value

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  1. Intellectual Property AnalyticsTurning Unstructured Information Into Value Jeffrey T. Kreulen, Ph.D. kreulen@almaden.ibm.com W. Scott Spangler spangles@almaden.ibm.com

  2. Innovation is About More Than Building a Better Mouse Trap …

  3. It’s About Beating The Competition …

  4. Business Competencies Business Competencies Business Competencies Business Partners Customers Suppliers Direct Direct Direct Control Control Control Business Competencies The Enterprise Execute Execute Execute Direct Control Execute From Transaction To Interaction Business Intelligence Context • Classic BI focuses on transactions at the boundary of the enterprise • Transactions are evolving to include more of the enterprise eco-system and a richer set of the life-cycle of interactions • Contextual information and its derived intelligence has to be integrated into the overall picture • Incorporation of unstructured information into individual and collection level analytics

  5. Employees (general population) Business partners Customers Sales or service units Consultants R&D (internal) Competitors Other Think tanks Associations, trade groups, conference boards Academia Internet, blogs, bulletin boards 45% 5% 35% 15% 25% 25% 35% 15% 45% 5% Leveraging Interactions in the Enterprise Eco-System CEO Survey: Sources of New Ideas and Innovation CRM / Call Centers Jams External Internal Classic BI IP, Web, … “We have...today a lot more capability and innovation in the [competitive] marketplace... than we [could] try to create on our own.” Procter & Gamble has set itself a goal of getting half its new product ideas from outside the company by 2010. IBM Institute for Business Value, CEO Study 2006

  6. The Analytical Approach Understand the Business Objective Identify Information Sources Explore Understand Analyze • - Multiple data • source collections • - On-Topic data search • - Nearest neighbor search • Intermediate • analytics results - Taxonomy Generation - Clustering - Classification - Dictionary - Synonyms - Editing - Refinement • - Trending • - Network analysis • - Co-occurrence • Scatter plot • Graphing/Reporting • Visualizations • . . .

  7. Business Analytical Solutions Almaden Patent Analytical Workbench (SIMPLE) Corporate Brand and Reputation Analysis (COBRA) Service Delivery Insight (SDI) Call Center Analysis Business Information Services On the Network (BISON) An SOA implementation of information analytical capabilities used to enable solution developement Business Insights Workbench (BIW) A comprehensive platform for structured and unstructured information analytics

  8. Business Objectives of Patent Analytics • Prior Art Search • Strategic Analysis • Competitive Landscape • Technology Landscape • People Landscape • Mergers & Acquisitions • Portfolio Management • Partnering and Licensing • Defensive • Valuation

  9. IBM Patent Portfolio Since 1994 A simple taxonomy of IBM’s patent portfolio since 1994 with counts and sorted by recency. The portfolio is migrating to the categories at the top (see summary trend lines).

  10. Using patent data from last 18 years, we compared the most relevant concepts to identify emerging patterns • Looking at US patent data for the last 18 years shows how pharmaceutical companies are positioning themselves in the market. • Leading companies like Pfizer, AstraZeneca, and Amgen are increasing their patent activity while other companies are decreasing. • By comparing the most relevant concepts in patent data, we observed patterns emerging. • Genentech is staking out white space in the areas not covered by the other major pharmaceuticals. Merck Bristol Myers Squibb Novartis Johnson & Johnson

  11. SIMPLEStrategic Information Mining Platform • Full text search on all US patents and applications • Nearest Neighbor search from a list of input patents or document text • Claims originality Analysis • Divestiture Impact Analysis • Chemical Structure Searches • Patent Clustering • View IBM patent status information from Dossier • Create and save patent “projects” and export reports

  12. BISON - Component Architecture for SIMPLE

  13. SIMPLE Patent Searching Full-text and fielded searching for US, EP and WIPO patents.

  14. Nearest Neighbor Searching Novel collection based prior art searching and similarity metrics.

  15. Claims Originality Identification of novel language in claims. Useful in identifying emergent topics and seminal patents.

  16. Divestiture A portfolio management tool useful in determining relative value.

  17. Patent Clustering The ability to automatically group a collection of patents into semantically similar groups.

  18. Chemical Search We have identified occurrences of chemical compounds, disambiguated by structure (using InChi and SMILES) and have a chemical similarity search engine. Demo at http://chemsearch.almaden.ibm.com

  19. And of course, this doesn’t just work for patents…

  20. COBRA – Corporate Brand and Reputation Analysis Themes are configured for brands, competitors, people and other topics of interest. The system filters blogs, boards, and online news to identify the snippets which contains the information of interest Using orthogonal filtering techniques we can get an accuracy rate of 95%. Even with this, the users still need to look at the document for context User define folders provide the user to organized the alerts into their own taxonomy. • We use multiple techniques to identify documents of interest for alerting and analysis. • We are creating industry templates.

  21. Just know that a number of posting are negative tell only part of the story. Trends help determine if this is something to be concerned about or “old news” There were 20 blog postings which were identified with negative sentiment. COBRA – Corporate Brand and Reputation Analysis Sentiment Analysis is combined with Themes

  22. COBRA – Corporate Brand and Reputation Analysis Interactive Analytical Dashboard

  23. COBRA – Corporate Brand and Reputation Analysis We look for interesting correlations 1 3 2 4 5

  24. How do Jams work?

  25. Service Delivery Insight • Call Center mining and analysis

  26. http://www.miningthetalk.com Brazen Plug!

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