The document discusses IntelliSemantic and their patent analysis solution called MyIntelliPatent. MyIntelliPatent uses natural language processing and intelligent language technologies to automatically extract relevant information from patent documents, including identifying key entities and passages. It provides a structured approach for patent analysis tasks and allows users to build custom vocabularies and taxonomies. MyIntelliPatent aims to deliver smarter patent analysis tools that help professionals focus on higher value work by automating some initial analysis steps.

1. Smart patent analysis
with MyIntelliPatent
Alberto Ciaramella - IntelliSemantic
PATINFO 2015
11/6/2015 – Ilmenau

2. Presentation overview
 the company.
 the patent information challenge today.
 “smart solutions” to solve it.
 the “smart solution” MyIntelliPatent.
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3. IntelliSemantic
 Founded in 2005, in Torino
 in the incubator of the Politecnico di Torino.
 competences: natural language processing.
 solution: patent knowledge management MyIntelliPatent.
 Research activities:
 partner of the FP7 cofunded TOPAS project. (Tool for
Patent Analysis and Summarization).
 R&D activities for MyIntelliPatent.
 partner of some Piemonte or Veneto region cofunded
research projects for open data and NLP.
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4.  On the information side, the number of worldwide
patents is continuously increasing, hence the effort
required for any kind of patent-related task.
 On the user side, the number of companies whose
business can be affected by patent information is
increasing and include now also a significant percentage
of SMEs, which can be even more tight on costs.
 But if patent analyses are performed less frequently or
less deeply than required, a company can incur:
 higher costs, if a company misses in due time a
competitor which can invalidate its research efforts.
 less benefits, if a company has not the time to
extract “hidden” suggestions from the patent
literature.
The patent information challenge
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5.  A solution to this challenge is to deliver smarter tools
which allow professionals to concentrate their activities in
the higher value-added part of their activity.
 Smarter tools can include features as:
 Patent specific knowledge management, to:
 learn, accumulate, and reuse the company
professionals knowledge.
 provide a structured approach for different use
cases.
 Intelligent language technologies to automatically
extract the text embedded knowledge, as the most
relevant entities and passages, and to identify as well
the patent document structure.
How to solve this challenge
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6. IntelliSemantic 6
MyIntelliPatent
A smart solution for patent intelligence tasks.
 MyIntelliPatent includes the company specific knowledge,
since it is provided as a password-protected Software as a
Service and repository. A company can build and access to its
specific vocabularies, patent sets, patent annotations.
 MyIntelliPatent supports structured interactions, as
detailed in the following.
 MyIntelliPatent includes intelligent language
technologies, as detailed in the following.

7. Structured interaction
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Queries, by metadata, by
a reference patent, a
reference text or even by a
patent list
A first level results
analysis through
QuickView.
A second level analysis
and statistics inlcluding
metadata through
Search/Statistics
A third level analysis and
statistics including tags
through Tag and
Search/Statistics

8. Linguistic intelligence: Tags
 A tag is a word (e.g. “inductor”) or a sequence of words
(e.g. “speaker verification”) having a well defined meaning.
 Tags are a distinguishing feature in MyIntelliPatent.
 MyIntelliPatent can:
 suggest a topic specific vocabulary from a set of
topic specific patents.
 allow the user to edit this suggested vocabulary.
 apply the finally edited vocabulary to all
collections, in such a way that vocabulary tags in a
patent become new text-specific metadata.
 different topic specific vocabularies can be present in
the same platform, enabling functions exemplified in the
following slide.
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9. Some examples of tags use
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Page Objective
Collect For builiding an extended OR list for the query
QuickView For identifying the most relevant patent results:
patents with more tags in the domain vocabulary
are assumed to be more relevant
Search
Statistics
For navigating and selecting related patents, i.e.
patents characterized by the same tags
Search
Statistics
For identifying the positive or negative
association of two tags
Search
Statistics
For identifying technology trends in tags/priority
matrix

10. IntelliSemantic
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Tags in third level analysis: an example
Tags allow to identify most relevant concepts in a patent and allows to
extend the analysis based on metadata. This table summarizes the
number of patents by year using a specific tag, and allows to identify first
patents using a concept and the most popular concepts now.

11. For more information
 MyIntelliPatent includes of course other features
besides those mentioned in these slides.
 Visit us at stand 4 for more details.
And/or:
 Contact IntelliSemantic
 e-mail info@intellisemantic.com
 tel. +39 011 9550 380
for a Web Conference presentation.