Emerging trends in IP searching: Machine/AI based searching - Anoop Cheeran & Manish Badani
-
Upload
balakrishna-uppala -
Category
Law
-
view
73 -
download
1
Transcript of Emerging trends in IP searching: Machine/AI based searching - Anoop Cheeran & Manish Badani
Emerging Trends in IP Searching:
Machine/AI Based Search Strategies
Anoop Cheeran & Manish Badani
Philips IP&S/IP Analysis
September 27, 2016
September 27, 2016
Philips IP Analysis Team
IP&S IP Analysis
IP Search
IP Intelligence
Market Intelligence
2
3 IP&S IP AnalysisSeptember 27, 2016
Search Tasks
• Patentability search for Invention Disclosures
• Validity/Invalidity Searches
• Product Risk Assessment Searches
• Trade Mark Searches
• Landscape Searches
• Company Analysis
• Market Intelligence
September 27, 2016
Patentability SearchBuilding the IP Assets of Philips
IP&S IP Analysis
Input
• Abstract
• Invention Disclosure
• Prior art (if any)
Output
• Search Criteria
• Prior art
Challenges
• Large number of patent applications filed
each year
• Filings in several different languages
• Traditional keyword search is increasingly
inadequate
Stringent Quality
Checks
4
Source: http://ipstats.wipo.int/ipstatv2/
September 27, 2016
Artificial/Machine IntelligenceApplication in IP Search
Artificial Intelligence
• Simulate human like intellect and/or behavior by a
machine
Natural Language Processing
� A sub-field of Artificial Intelligence
� Computers/Search Engines can interact with
human beings like human
Semantic Search
� Understands searcher’s intent and context
� Major web search engines like Google
incorporate some elements of Semantic
search
IP&S IP Analysis5
Source: http://www.slideshare.net/ecodrew/future-of-artificial-
intelligence-iftf-fujitsu-labs-2015
Semantic SearchSituations when it helps
6 IP&S IP AnalysisSeptember 27, 2016
Source: http://www.slideshare.net/fullscreen/ABLVienna/semantic-search-8159539/4
7 IP&S IP AnalysisSeptember 27, 2016
Keyword Search vs Semantic Search
Semantic search helps
• Reduce the time of running the search
• Improves RECALL and PRECISION
• Uncover relevant patents that would
otherwise be missed with keyword
search
Semantic Search - OrbitFree Text
8 IP&S IP AnalysisSeptember 27, 2016
• Find similar patents based on freely entered text
• One paragraph is required for the search to run
• If the text is entered in non-English language, it gets translated by Google
9 IP&S IP AnalysisSeptember 27, 2016
Semantic Search - OrbitConcept Selection
• Concepts are extracted and shown in the
selection window
• Additional concepts can be searched and
added to the list
• Based on the selected concepts relevant
patent families are searched and listed
Semantic Search - Relecura
10 IP&S IP AnalysisSeptember 27, 2016
• Semantic search
based on uploaded
text/file
• Suggested keywords
and concepts
• Seed Data to quickly
zoom into relevant
documents
• Search trail to track
selected concepts
and keywords
11 IP&S IP AnalysisSeptember 27, 2016
Semantic Search - AutoMatch
www.auto-match.se
• AutoMatch is a natural language text based search tool for patents and patent
applications
• Tool creates a finger print reflecting the given input textual content (for example, from
an abstract) that is adapted and matched against the tool’s IP publication repository
• Customization of technology areas (search index) possible
• Provides up to 100 hits per search
https://www.auto-match.se/Guide%20AutoMatch%20Evaluation.pdf
12 IP&S IP AnalysisSeptember 27, 2016
� Can copy paste directly from
an invention disclosure or
can provide a descriptive
summary encompassing the
keywords as the search
query
� Tool uses text in title and
the descriptive summary to
match and provides the
result set
https://www.automatch.se/Guide%20AutoMatch%20
Evaluation.pdf
Step 1: Register an idea: Concise summary
text (without truncations) about half a
page disclosing the subject area
Choose the technical index (default AM Master
covering all areas or the optimized index covering
specific technical fields) and run the query
Semantic Search - AutoMatch
September 27, 2016 IP&S IP Analysis13
Semantic Search - AutoMatch
� Tool has an option of ranking
each of the retrieved
references to ‘match, relevant,
background & noise’
� Can add annotations for each
document analyzed
� Can add new text into the idea
summary and create a new
search
� Can download matched results
to an Excel report
Summary
https://www.auto-match.se/Guide%20AutoMatch%20Evaluation.pdf
September 27, 2016 IP&S IP Analysis14
Citation Based Search - Ambercite
� Citation based tool that has 7 generations of citations; 3 earlier generations, 3 later
generations and the seed document (citations of citations of citations)
� The relevancy of a document is based on the direct and indirect connection of the
document with the seed document(s)
� The citations are based on individual records and not patent family; all members of
patent families may need to be added as a seed documenthttp://www.ambercite.com/index.php/support/getting-started
Ambercite: Ranking Method
September 27, 2016 IP&S IP Analysis15
Direct Citations
In-Direct Citations
� Higher number of
shared citations
(direct & indirect)
result in higher
similarity ranking
� Indirect citation
analysis identifies
references otherwise
not obtained through
direct citation analysis
http://www.ambercite.com/index.php/support/getting-started
Citation Based Search - Ambercite
September 27, 2016 IP&S IP Analysis16
http://www.ambercite.com/index.php/support/getting-started
Citation Based Search - Ambercite
� Searching based on relevant patent
numbers, avoiding need to make
predictions on likely keywords or
class codes
� Listing of direct patent citations,
and indirect ‘unknown’ citations in
search results
� Tool provides an ‘AmberScore’, a
similarity metric based on
citation(s) to each document
� Recent patent/patent applications
may have a lower AmberScore
� Option for ‘hiding’ known
documents from search results and
a ‘like’ button to categorize
documents
Summary
Summary
17 IP&S IP AnalysisSeptember 27, 2016
• Large number of patent applications in various languages have increased
challenges for searching prior art
• Several patent search tools are now available that utilize natural language
processing systems
• Machine intelligence based on citations is also used in identifying related patents
• The AI/MI based search tools can significantly reduce the search time and improve
the search accuracy
• At the moment, there is still room for improvement of these tools for them to
exactly mimic a human
� Until then, there will always be a need for the traditional IP Search Analyst ☺