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Treparel
Delftechpark 26
2628 XH Delft
The Netherlands
www.treparel.com
KMX
Patent
Analytics &
Visualization
May 28, 2014
Industry Thought Leaders about Treparel
“Treparel KMX’s visualization capabilities around its auto-categorization and
clustering offer immediate insight into unstructured data sets and appear to
be adaptable and customizable to customer needs. Its approach to auto-
categorization utilizes statistical principles and machine learning that require
significantly less training and tuning on the part of customers than other
approaches.” David Schubmehl, IDC
“As we acquire more and more information, we need tools that will guide us
through the data maze. Analysts need tools to help them understand
patterns and define clusters. Users need to explore data to uncover
relationships from scattered sources. Treparel’s KMX serves both these
needs with its ability to cluster and categorize collections of data with a high
degree of accuracy, and its interactive visualization tools that enable
exploration of large data sets.” Sue Feldman, Synthexis.com (author: The
Answer Machine.
Treparel KMX – All Rights Reserved 2014 2www.treparel.com
Some of our clients & partners
KMX is an integral part of our IP analysis toolbox. It contributes to our
capability of making added value IP analyses of technologies and
competitors to support strategic decision making.
www.fusepool.eu
“We’ve speed up our patent searches from 2 days to 2 hours using
KMX technology”
Treparel KMX – All rights reserved 2014 3
Visualization
Clustering Classification
Text Preprocessing and Indexing
Acquire documents
Present Results
Taxonomies,
Ontologies
Semantic Analysis
KMX Text Analytics Application overview
KMX unique functions:
• Extract concepts in context
using clustering and
classification of documents
• Use classification to create
ranked lists and to tag subsets
• Support of binary and multi-
class Classification
• Enterprise edition
(server/cloud) & Professional
edition (desktop)
• Integration with other
applications through KMX API
Treparel KMX – All rights reserved 2014 www.treparel.com 4
Query &
Search Tools
Benefits: Get quick insights through automated visual clusters
with annotations to enhance the discovery process
1. Analyze the clusters and the relationships in the data
2. Explore outliers in the data
3. Find documents of interest
What it does: A visualization of clusters where the documents
are displayed as points and the distance between them shows
their similarity.
What KMX delivers: Use KMX to do:
1. Perform text preprocessing (stemming/tokenization etc)
2. Calculate between all documents a similarity measure
3. Calculate visualization (landscape) with automatic annotation
4. Create the visualization
– As a static image
– Or provide interaction where the user can zoom in/out with
support for adaptive annotation
Clustering: User Unsupervised Analytics
Treparel KMX – All rights reserved 2014 www.treparel.com 5
Benefits: Finding fast, accurate and precise small result sets and enabling trend
reporting and Alerting by reusing predefined categorization models.
1. Obtain a ranked list of the most relevant documents
2. Separate the important documents from the irrelevant documents (noise)
How it works: A list of the relevant documents defined from a users
perspective.
What KMX delivers: Use KMX to do:
1. Tag (label) a small number of relevant and irrelevant documents
– Use search to identify documents that need to be tagged
– Perform manual tagging
– Select documents interactive from the visualization (brushing)
2. Create a Classifier (categorizer) using the tagged documents
3. Automatically perform the classification on all documents
4. Obtain the important documents as ranked high and the irrelevant
documents which are ranked low
Classification: User Supervised Analytics
Treparel KMX – All rights reserved 2014 www.treparel.com 6
Benefits: KMX Visualisations are supporting
the process of constructing a visual image
in the mind to understand the data better.
How it works: KMX offers a visualization framework with various methods for
seeing the unseen. It enriches the process of discovery and fosters profound
and unexpected insights.
What KMX delivers: Different visualizations or visual pipelines to:
• Comprehend large datasets, datasets that are too large to grasp by mental
imagination.
• Discover previous unknown properties of the data set that may not have
been anticipated
• Reveal inherent problems of the data, for instance errors and artefacts
• Examine large-scale features of the dataset as well as the local features or
allows the user to see local features in a larger scale reference
• Let users form hypothesis based on the (newly) observed phenomena or
developed insights
Visualization: Discovering Unexpected Insights
Treparel KMX – All rights reserved 2014 www.treparel.com 7
How Reliable & Accurate are the results?
Review your results with advanced performance tools
The quality of the automatic classification (categorization) is shown in the
histogram, where a small number of documents with a high classification score
are separated from the large number of documents.
Non relevant documents Relevant documents
KMX calculates the Precision and Recall of the results using cross validation.
• Precision is essential for: First analysis & Alerting services
• Recall is crucial for: Freedom to Operate search, Validity search Patentability search
• Both need to be high for: Patent portfolio landscape analysis, Technology Exploration, Risk Assessments
Fig: Classification performance 1280 patents on ‘biomass’
8
Part 1:
KMX: Ready to Use Patent Analytics
Intuitive Content Clustering,
Classification & Visualization
Treparel KMX – All rights reserved 2014 9www.treparel.com
Finding all relevant patents
KMX: An integrated IP Search, Discover & Monitor
1 intuitive visual interface to many IP search cases
State of the art search: Identify all relevant
patents for the purpose of general
technology review by a landscaping analysis
Novelty search: Identify all relevant patents
and non-patents which may affect
patentability of an idea/invention (analysis
done before drafting and filling the patent)
Freedom to Operate search: identify all
relevant patents or non patent literature
which cover a product or process idea that
one wants to work-out
Infringement search: identify all relevant
patents which cover your product or process
and are still in force
Collections: Collect prior art in a particular
area (often conducted using selected or pre-
built patent classifications).
Scientific / Business: Identify financial
organizational, statistical, commercial and
other information.
Voice of Customer: Research into specific
questions asked by customers
Cluster Visualization: the lens to KMX and
all your IP Searches
10
Finding limited (or 1) patents
Patentability search: Given one patent
application determine the novelty.
Opposition search: identify public literature
(patent or non-patent) and show a lack of
novelty (aka invalidity search) of one patent.
Due diligence search: analyze key strengths
and weaknesses and the scope of a patent.
Misc searches: patent family, legal status,
citing references etc.
Monitor, Map & Enrich
Patent Watch & Benchmarking: Monitor latest technology developments by subject (using
Alerts) or compare uniquely categorized IP portfolios to others.
Patent Map: Show patent landscape to uncover trends, gaps or overlap
Co-occurrence: search for semantic similarity where a set of terms (or documents) have a
similar meaning (or semantic content) according to a list of terms.
Semantic enrichment: Find in a set of relevant documents the most important
annotations/words that characterize these documents
Thesauri creation: Group, edit and export terms from a set of documents that have similar
meaning.
Use Case 1: Performing small to large scale SWOT
analysis
Patent
Database
+10.000 patents
986 patents
29 patents
Ranking
Queries
Filtering
SWOT analysis example
Start with removing irrelevant
patents using Classification and
Filtering to determine:
• Who are the important players
(assignees, inventors)?
• Where are the important patents
filed (countries)?
• What is the trend over time (growth
of patents over the years)?
• NB: we used a (very) simple query to
find 986 patents filed under
Astrazeneca.
Output
Business
User
Ranking Filtering
Ranking Filtering
Treparel KMX – All rights reserved 2014
Landscaping and Ranking:
What are most relevant Respiratory & Inflammation patents?
Fig: From 986 to the most relevant patents using visual selection (brushing) to build a
classification model (Classifier) to be able to rank the full data set and to extract the most relevant.
12
Landscaping and Ranking:
What are most relevant Respiratory & Inflammation patents?
Fig: Ranked patents using a Classifier for Respiratory & Inflammation patents (In yellow the selection of 29
absolute relevant patents to be further analyzed). We used ‘respiratory’ to demonstrate highlighting
capabilities.
Yellow = most
important patents
(+80% score)
Blue = least relevant
patents (for this
analysis)
13
NB: crosshair points
to 1 specific patent
(full text in left pane)
Treparel KMX – All rights reserved 2014
Page 14 |
Extracting concepts in context from classification of documents
Use Case 2: Concept detection using text classification
to auto generate thesauri
1. Visualization  multiple topic
clusters
2. Select cluster  select documents
with similar topics
3. Select training documents within
the sub-cluster
4. Build Classifier and classify
5. Rank documents  find set of
documents with related concepts
6. Extract concepts to create thesauri
KMX Example: ‘Ebola, SARS, Bird flue: How do they relate?’
Treparel KMX – All rights reserved 2014 14
Key KMX Features
Acquire Text
• Use the standard file importers for formats like XLS, CSV, XML
• Directly query data using native connections to data providers like OPS,
CLAIMS Direct, Customer SOLR, NLM PubMed, PLoS or The Guardian .
Model & Analyse
• Get quick insights through a best-in-class search workflow and
automated annotation
• Enhance the discovery process by using dynamic hierarchical views in
the search results delivering automated visual clusters of information
• Focus on high-interest subjects with visual filtering
• Discover serendipity: unexpected trends, patterns and relationships
• Quickly categorize the large data by developing and applying your
personal classification scheme
• Use brushing to visually train the software with small sample sets for
automatic analysis (patent-pending technology)
15Treparel KMX – All rights reserved 2014 15www.treparel.com
Key KMX Features
Adapt & Output
• Display the data sets through advanced visualizations incl. landscapes,
document similarity, frequency distribution, classification scores
• Export the data result sets like ranked document lists, labelled lists,
enriched data
• Extract terms from documents to build a thesaurus for semantic analysis
• Share the results in a web browser, in a Word file, or as Excel sheet
• Use auto reporting for scheduling to larger group of business users
Manage & Collaborate
• Cross validate by measuring the precision and recall of the results set
• Improve categorization performance using assisted tuning of
document labelling
• Tag, annotate and rank the results to improve relevance
• Collaborate and cooperate with other users by sharing result sets,
visualizations and analysis models (KMX Classifiers)
• Balance compute power and batch scheduling for up to millions of
documents
• Manage users and schedule automated backups
• Monitoring and alerting on relevant new documents 16
Add-on servers:
Auto Reporting & Batch Classification
• Auto Reporting Server
– Support automated analysis for
aggregated results for multiple users
– Pie & bar charts
– Landscape visualizations for overview
of subjects
– Enabling rich interaction
• Batch Classification Server
– high-performance stand-alone text-
classification server
– Enables large scale parallel
processing
Page 17
Treparel KMX – All rights reserved 2014 17www.treparel.com
KMX Licensing options
1. Professional Edition (Desktop Installation)
• Full version, including: Standard Importer (CSV, XLS, Text), Text preprocessing, Information Extraction,
Indexing, Building stop-lists for words / stemmers, Multi language word lists, Clustering, Classification
(Building classifiers), Assisted Classifier Performance Tuning, Landscape Visualization, Semantic Analysis.
• Price per user*, per year: CONTACT sales@treparel.com
2. Group Edition (Desktop & Server Installation)
• Similar functionality to Professional Edition, additional: Automated backups, User management,
Collaboration & sharing of Classifiers, data and reports (through server)
• Price per user*: CONTACT sales@treparel.com
3. KMX Starter Package
• KMX Starter Package includes 3 Group Edition licenses, 2 days preparation/Q&A (remote) and 2 days on-
site training on client specific use-case by experienced IP consultant, per year.
 All prices are based on minimum contract of 2 years, including Maintenance, Updates and Support and
excluding VAT and excluding travel. Multi user discounts may apply.
 Note: Treparel also provides proof-of-concepts to test the software in a limited period of time supported
by experience IP consultant.
 *A User is defined as a named individual, however the Treparel Fair Use policy allows sharing.
18Treparel KMX – All rights reserved 2014 www.treparel.com
Part 2:
KMX software:
User Interface, key functions & value
Treparel KMX – All rights reserved 2014 19www.treparel.com
KMX : Model, Analyse, Discover and Visualize
in one view and deploy it to large scale
Document text
Search and
highlighting
Landscape visualization Coloring of classification score
Brushing
Filtering
20
KMX Example: ‘Ebola, SARS, Bird flue: How do they relate?’
Treparel KMX – All rights reserved 2014 www.treparel.com
KMX : Optimize Output
using Classification Performance Tuning
Precision
And
Recall
Distribution of classification scores
Document
classification
for three
classes
21Treparel KMX – All rights reserved 2014 www.treparel.com
Business Value from Patents with KMX
 Text Analytics for Anyone and Everyone – Intuitive to use and learn. Designed
for every user: business (info consumers) and scientific (info creators).
 Instant Business Insights – Explore all of your unstructured data (text, blogs,
email, patents) without limits.
 Rapid Time to Value - Adaptable and customizable to users needs. No
implementation or extensive and expensive modelling or development.
Significant less training and tuning.
 Any size deployment – Meets every business need from a single user to large
multilevel type user groups.
 Language independent – Search and analyze most of the world’s languages using
machine translation.
 Any kind or deployment - Use it from your desktop or in a - private - cloud. Buy
the software-as-a-service or get the output-as-a-service.
 Enterprise-proven, IP & IT friendly – Successfully delivering value to IP, business
and markets in multinational companies.
 Integration – Use the KMX API to increase the value of unstructured data in
other software applications
22Treparel KMX – All rights reserved 2014 www.treparel.com
Part 3:
NEW: IP and R&D Dashboard
Integrated SAAS based search, reporting,
visualization and analysis
Built in partnership with:
Treparel KMX – All rights reserved 2014 23www.treparel.com
Evalueserve IP and R&D NG Dashboard
A Joint Development by Evalueserve and Treparel
Evalueserve Treparel
Largest IP and R&D Search and
Analytics Provider..
Leading developer of text analytics
and visualization software..
…understands what information
professionals need and how end
users would like to receive IP and
R&D search and analytics projects
..has analytics and visualization
technology successfully used by
leading companies for R&D and IP
information
Have joined forces to develop and market a state of the art next generation
IP and R&D Dashboard…
Treparel KMX – All rights reserved 2014 www.treparel.com
NG IP and R&D Dashboard
Key Features
• …it is not a patent database (or any other database) x
• …it is (not yet) an advanced text analytics tool x
• it is a tool for the information professional to deliver IP and R&D search
and analytics projects to end users √
• ..it is source neutral – can take data of any source (patent, non-patent
literature, product info, etc. √
• ..end users and information professionals benefit from advanced
visualization and search functions for efficient work with projects such as
patent landscapes or competitive intelligence projects √
• ..it hosts workflows such as alerts √
• ..it is sold as product or product plus service √
Treparel KMX – All rights reserved 2014 www.treparel.com
Advanced Searching, Filtering,
Browsing,
Customized Alerting
Indexing
(Manual/
Automated)
IP and R&D Information Management Tool
An Efficient & Intuitive Knowledge Management System
> Source Independent
Data
Patent Data
Scientific Literature
Business News
Project 1
Project 2
Interactive and
Dynamic Visualization
Evalueserve
NG Dashboard
Treparel KMX – All rights reserved 2014
IP & RD Dashboard:
Content Driven Analytical solution
Treparel KMX – All rights reserved 2014 www.treparel.com 27
Ease of Use access to Search, Reporting & Analysis of
content like Patents, Emails, Legislation, Application Notes, websites
IP & RD Dashboard:
Content analytics beyond key-word search
Treparel KMX – All rights reserved 2014 www.treparel.com 28
Interactive taxonomy with multiple coupled views
and advanced search in large sets of documents
IP & RD Dashboard:
Built in analytics & interactive visualizations
Treparel KMX – All rights reserved 2014 www.treparel.com 29
Ad-hoc or Standard interactive visualizations
leading directly to the underlying documents or notes
Contact Us:
Treparel
Delftechpark 26
2628 XH DELFT
The Netherlands
+31 15 260 04 55
sales@treparel.com
Treparel KMX – All rights reserved 2014 30www.treparel.com

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Treparel - KMX Patent Analytics 2014

  • 1. Treparel Delftechpark 26 2628 XH Delft The Netherlands www.treparel.com KMX Patent Analytics & Visualization May 28, 2014
  • 2. Industry Thought Leaders about Treparel “Treparel KMX’s visualization capabilities around its auto-categorization and clustering offer immediate insight into unstructured data sets and appear to be adaptable and customizable to customer needs. Its approach to auto- categorization utilizes statistical principles and machine learning that require significantly less training and tuning on the part of customers than other approaches.” David Schubmehl, IDC “As we acquire more and more information, we need tools that will guide us through the data maze. Analysts need tools to help them understand patterns and define clusters. Users need to explore data to uncover relationships from scattered sources. Treparel’s KMX serves both these needs with its ability to cluster and categorize collections of data with a high degree of accuracy, and its interactive visualization tools that enable exploration of large data sets.” Sue Feldman, Synthexis.com (author: The Answer Machine. Treparel KMX – All Rights Reserved 2014 2www.treparel.com
  • 3. Some of our clients & partners KMX is an integral part of our IP analysis toolbox. It contributes to our capability of making added value IP analyses of technologies and competitors to support strategic decision making. www.fusepool.eu “We’ve speed up our patent searches from 2 days to 2 hours using KMX technology” Treparel KMX – All rights reserved 2014 3
  • 4. Visualization Clustering Classification Text Preprocessing and Indexing Acquire documents Present Results Taxonomies, Ontologies Semantic Analysis KMX Text Analytics Application overview KMX unique functions: • Extract concepts in context using clustering and classification of documents • Use classification to create ranked lists and to tag subsets • Support of binary and multi- class Classification • Enterprise edition (server/cloud) & Professional edition (desktop) • Integration with other applications through KMX API Treparel KMX – All rights reserved 2014 www.treparel.com 4 Query & Search Tools
  • 5. Benefits: Get quick insights through automated visual clusters with annotations to enhance the discovery process 1. Analyze the clusters and the relationships in the data 2. Explore outliers in the data 3. Find documents of interest What it does: A visualization of clusters where the documents are displayed as points and the distance between them shows their similarity. What KMX delivers: Use KMX to do: 1. Perform text preprocessing (stemming/tokenization etc) 2. Calculate between all documents a similarity measure 3. Calculate visualization (landscape) with automatic annotation 4. Create the visualization – As a static image – Or provide interaction where the user can zoom in/out with support for adaptive annotation Clustering: User Unsupervised Analytics Treparel KMX – All rights reserved 2014 www.treparel.com 5
  • 6. Benefits: Finding fast, accurate and precise small result sets and enabling trend reporting and Alerting by reusing predefined categorization models. 1. Obtain a ranked list of the most relevant documents 2. Separate the important documents from the irrelevant documents (noise) How it works: A list of the relevant documents defined from a users perspective. What KMX delivers: Use KMX to do: 1. Tag (label) a small number of relevant and irrelevant documents – Use search to identify documents that need to be tagged – Perform manual tagging – Select documents interactive from the visualization (brushing) 2. Create a Classifier (categorizer) using the tagged documents 3. Automatically perform the classification on all documents 4. Obtain the important documents as ranked high and the irrelevant documents which are ranked low Classification: User Supervised Analytics Treparel KMX – All rights reserved 2014 www.treparel.com 6
  • 7. Benefits: KMX Visualisations are supporting the process of constructing a visual image in the mind to understand the data better. How it works: KMX offers a visualization framework with various methods for seeing the unseen. It enriches the process of discovery and fosters profound and unexpected insights. What KMX delivers: Different visualizations or visual pipelines to: • Comprehend large datasets, datasets that are too large to grasp by mental imagination. • Discover previous unknown properties of the data set that may not have been anticipated • Reveal inherent problems of the data, for instance errors and artefacts • Examine large-scale features of the dataset as well as the local features or allows the user to see local features in a larger scale reference • Let users form hypothesis based on the (newly) observed phenomena or developed insights Visualization: Discovering Unexpected Insights Treparel KMX – All rights reserved 2014 www.treparel.com 7
  • 8. How Reliable & Accurate are the results? Review your results with advanced performance tools The quality of the automatic classification (categorization) is shown in the histogram, where a small number of documents with a high classification score are separated from the large number of documents. Non relevant documents Relevant documents KMX calculates the Precision and Recall of the results using cross validation. • Precision is essential for: First analysis & Alerting services • Recall is crucial for: Freedom to Operate search, Validity search Patentability search • Both need to be high for: Patent portfolio landscape analysis, Technology Exploration, Risk Assessments Fig: Classification performance 1280 patents on ‘biomass’ 8
  • 9. Part 1: KMX: Ready to Use Patent Analytics Intuitive Content Clustering, Classification & Visualization Treparel KMX – All rights reserved 2014 9www.treparel.com
  • 10. Finding all relevant patents KMX: An integrated IP Search, Discover & Monitor 1 intuitive visual interface to many IP search cases State of the art search: Identify all relevant patents for the purpose of general technology review by a landscaping analysis Novelty search: Identify all relevant patents and non-patents which may affect patentability of an idea/invention (analysis done before drafting and filling the patent) Freedom to Operate search: identify all relevant patents or non patent literature which cover a product or process idea that one wants to work-out Infringement search: identify all relevant patents which cover your product or process and are still in force Collections: Collect prior art in a particular area (often conducted using selected or pre- built patent classifications). Scientific / Business: Identify financial organizational, statistical, commercial and other information. Voice of Customer: Research into specific questions asked by customers Cluster Visualization: the lens to KMX and all your IP Searches 10 Finding limited (or 1) patents Patentability search: Given one patent application determine the novelty. Opposition search: identify public literature (patent or non-patent) and show a lack of novelty (aka invalidity search) of one patent. Due diligence search: analyze key strengths and weaknesses and the scope of a patent. Misc searches: patent family, legal status, citing references etc. Monitor, Map & Enrich Patent Watch & Benchmarking: Monitor latest technology developments by subject (using Alerts) or compare uniquely categorized IP portfolios to others. Patent Map: Show patent landscape to uncover trends, gaps or overlap Co-occurrence: search for semantic similarity where a set of terms (or documents) have a similar meaning (or semantic content) according to a list of terms. Semantic enrichment: Find in a set of relevant documents the most important annotations/words that characterize these documents Thesauri creation: Group, edit and export terms from a set of documents that have similar meaning.
  • 11. Use Case 1: Performing small to large scale SWOT analysis Patent Database +10.000 patents 986 patents 29 patents Ranking Queries Filtering SWOT analysis example Start with removing irrelevant patents using Classification and Filtering to determine: • Who are the important players (assignees, inventors)? • Where are the important patents filed (countries)? • What is the trend over time (growth of patents over the years)? • NB: we used a (very) simple query to find 986 patents filed under Astrazeneca. Output Business User Ranking Filtering Ranking Filtering Treparel KMX – All rights reserved 2014
  • 12. Landscaping and Ranking: What are most relevant Respiratory & Inflammation patents? Fig: From 986 to the most relevant patents using visual selection (brushing) to build a classification model (Classifier) to be able to rank the full data set and to extract the most relevant. 12
  • 13. Landscaping and Ranking: What are most relevant Respiratory & Inflammation patents? Fig: Ranked patents using a Classifier for Respiratory & Inflammation patents (In yellow the selection of 29 absolute relevant patents to be further analyzed). We used ‘respiratory’ to demonstrate highlighting capabilities. Yellow = most important patents (+80% score) Blue = least relevant patents (for this analysis) 13 NB: crosshair points to 1 specific patent (full text in left pane) Treparel KMX – All rights reserved 2014
  • 14. Page 14 | Extracting concepts in context from classification of documents Use Case 2: Concept detection using text classification to auto generate thesauri 1. Visualization  multiple topic clusters 2. Select cluster  select documents with similar topics 3. Select training documents within the sub-cluster 4. Build Classifier and classify 5. Rank documents  find set of documents with related concepts 6. Extract concepts to create thesauri KMX Example: ‘Ebola, SARS, Bird flue: How do they relate?’ Treparel KMX – All rights reserved 2014 14
  • 15. Key KMX Features Acquire Text • Use the standard file importers for formats like XLS, CSV, XML • Directly query data using native connections to data providers like OPS, CLAIMS Direct, Customer SOLR, NLM PubMed, PLoS or The Guardian . Model & Analyse • Get quick insights through a best-in-class search workflow and automated annotation • Enhance the discovery process by using dynamic hierarchical views in the search results delivering automated visual clusters of information • Focus on high-interest subjects with visual filtering • Discover serendipity: unexpected trends, patterns and relationships • Quickly categorize the large data by developing and applying your personal classification scheme • Use brushing to visually train the software with small sample sets for automatic analysis (patent-pending technology) 15Treparel KMX – All rights reserved 2014 15www.treparel.com
  • 16. Key KMX Features Adapt & Output • Display the data sets through advanced visualizations incl. landscapes, document similarity, frequency distribution, classification scores • Export the data result sets like ranked document lists, labelled lists, enriched data • Extract terms from documents to build a thesaurus for semantic analysis • Share the results in a web browser, in a Word file, or as Excel sheet • Use auto reporting for scheduling to larger group of business users Manage & Collaborate • Cross validate by measuring the precision and recall of the results set • Improve categorization performance using assisted tuning of document labelling • Tag, annotate and rank the results to improve relevance • Collaborate and cooperate with other users by sharing result sets, visualizations and analysis models (KMX Classifiers) • Balance compute power and batch scheduling for up to millions of documents • Manage users and schedule automated backups • Monitoring and alerting on relevant new documents 16
  • 17. Add-on servers: Auto Reporting & Batch Classification • Auto Reporting Server – Support automated analysis for aggregated results for multiple users – Pie & bar charts – Landscape visualizations for overview of subjects – Enabling rich interaction • Batch Classification Server – high-performance stand-alone text- classification server – Enables large scale parallel processing Page 17 Treparel KMX – All rights reserved 2014 17www.treparel.com
  • 18. KMX Licensing options 1. Professional Edition (Desktop Installation) • Full version, including: Standard Importer (CSV, XLS, Text), Text preprocessing, Information Extraction, Indexing, Building stop-lists for words / stemmers, Multi language word lists, Clustering, Classification (Building classifiers), Assisted Classifier Performance Tuning, Landscape Visualization, Semantic Analysis. • Price per user*, per year: CONTACT sales@treparel.com 2. Group Edition (Desktop & Server Installation) • Similar functionality to Professional Edition, additional: Automated backups, User management, Collaboration & sharing of Classifiers, data and reports (through server) • Price per user*: CONTACT sales@treparel.com 3. KMX Starter Package • KMX Starter Package includes 3 Group Edition licenses, 2 days preparation/Q&A (remote) and 2 days on- site training on client specific use-case by experienced IP consultant, per year.  All prices are based on minimum contract of 2 years, including Maintenance, Updates and Support and excluding VAT and excluding travel. Multi user discounts may apply.  Note: Treparel also provides proof-of-concepts to test the software in a limited period of time supported by experience IP consultant.  *A User is defined as a named individual, however the Treparel Fair Use policy allows sharing. 18Treparel KMX – All rights reserved 2014 www.treparel.com
  • 19. Part 2: KMX software: User Interface, key functions & value Treparel KMX – All rights reserved 2014 19www.treparel.com
  • 20. KMX : Model, Analyse, Discover and Visualize in one view and deploy it to large scale Document text Search and highlighting Landscape visualization Coloring of classification score Brushing Filtering 20 KMX Example: ‘Ebola, SARS, Bird flue: How do they relate?’ Treparel KMX – All rights reserved 2014 www.treparel.com
  • 21. KMX : Optimize Output using Classification Performance Tuning Precision And Recall Distribution of classification scores Document classification for three classes 21Treparel KMX – All rights reserved 2014 www.treparel.com
  • 22. Business Value from Patents with KMX  Text Analytics for Anyone and Everyone – Intuitive to use and learn. Designed for every user: business (info consumers) and scientific (info creators).  Instant Business Insights – Explore all of your unstructured data (text, blogs, email, patents) without limits.  Rapid Time to Value - Adaptable and customizable to users needs. No implementation or extensive and expensive modelling or development. Significant less training and tuning.  Any size deployment – Meets every business need from a single user to large multilevel type user groups.  Language independent – Search and analyze most of the world’s languages using machine translation.  Any kind or deployment - Use it from your desktop or in a - private - cloud. Buy the software-as-a-service or get the output-as-a-service.  Enterprise-proven, IP & IT friendly – Successfully delivering value to IP, business and markets in multinational companies.  Integration – Use the KMX API to increase the value of unstructured data in other software applications 22Treparel KMX – All rights reserved 2014 www.treparel.com
  • 23. Part 3: NEW: IP and R&D Dashboard Integrated SAAS based search, reporting, visualization and analysis Built in partnership with: Treparel KMX – All rights reserved 2014 23www.treparel.com
  • 24. Evalueserve IP and R&D NG Dashboard A Joint Development by Evalueserve and Treparel Evalueserve Treparel Largest IP and R&D Search and Analytics Provider.. Leading developer of text analytics and visualization software.. …understands what information professionals need and how end users would like to receive IP and R&D search and analytics projects ..has analytics and visualization technology successfully used by leading companies for R&D and IP information Have joined forces to develop and market a state of the art next generation IP and R&D Dashboard… Treparel KMX – All rights reserved 2014 www.treparel.com
  • 25. NG IP and R&D Dashboard Key Features • …it is not a patent database (or any other database) x • …it is (not yet) an advanced text analytics tool x • it is a tool for the information professional to deliver IP and R&D search and analytics projects to end users √ • ..it is source neutral – can take data of any source (patent, non-patent literature, product info, etc. √ • ..end users and information professionals benefit from advanced visualization and search functions for efficient work with projects such as patent landscapes or competitive intelligence projects √ • ..it hosts workflows such as alerts √ • ..it is sold as product or product plus service √ Treparel KMX – All rights reserved 2014 www.treparel.com
  • 26. Advanced Searching, Filtering, Browsing, Customized Alerting Indexing (Manual/ Automated) IP and R&D Information Management Tool An Efficient & Intuitive Knowledge Management System > Source Independent Data Patent Data Scientific Literature Business News Project 1 Project 2 Interactive and Dynamic Visualization Evalueserve NG Dashboard Treparel KMX – All rights reserved 2014
  • 27. IP & RD Dashboard: Content Driven Analytical solution Treparel KMX – All rights reserved 2014 www.treparel.com 27 Ease of Use access to Search, Reporting & Analysis of content like Patents, Emails, Legislation, Application Notes, websites
  • 28. IP & RD Dashboard: Content analytics beyond key-word search Treparel KMX – All rights reserved 2014 www.treparel.com 28 Interactive taxonomy with multiple coupled views and advanced search in large sets of documents
  • 29. IP & RD Dashboard: Built in analytics & interactive visualizations Treparel KMX – All rights reserved 2014 www.treparel.com 29 Ad-hoc or Standard interactive visualizations leading directly to the underlying documents or notes
  • 30. Contact Us: Treparel Delftechpark 26 2628 XH DELFT The Netherlands +31 15 260 04 55 sales@treparel.com Treparel KMX – All rights reserved 2014 30www.treparel.com