2. Veda Overview – Origin and Growth
1.Semantic Technology IP
2.Originated at Fraunhoffer Institute, Germany
3.Product enhanced over the last decade
4.End to end Semantic Framework
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3. Veda Overview - COP Model
1.Covers all aspects of a Business Solution
2.Has the ability to work on Structured and Unstructured Data
3.The framework enables rapid deployment of Semantic
Applications
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4. Veda Overview - Product Portfolio
Area Technology / Tools Description
Web Crawler Supports HTTP with authentication
Data Email Crawler Supports IMAP, POP3 protocols
Collect
Aggregation Database Crawler Supports relational databases
File Crawler Word Reader, PDF Reader, Text Reader, HTML Reader
Information Visual Entity Extractor Domain specific entity extraction platform
Extraction Term Extraction NLP based concept, phrase identification
Semantic Net API & S-net editor
OrganIze
Editor
Information Ontology Editor OWL editor, Rules
Organization AutoClassification Lazy (term-based) and machine learning
Ontology Data Maps data to the ontology
Mapping
Semantic Matching Context based retrieval using semantic net
Present
Information Inference Engine Supports OWL DL Lite
Retrieval and Latent Semantic Latent semantic analysis and information retrieval
Analysis Indexing
Semantic Rule Engine Rule engine with inferencing capabilities
Visual entity extraction technique
Patents Filed
Method of Context-based information retrieval
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5. Product Strategy
Semantic
Search
Standards
Text Analysis
Semantic Automated
Search Reasoning
Evolution of Semantic Technology
Standards Semantic
Text Analysis Content Mgmt.
Semantic Automated Knowledge
Search Reasoning based Apps
Semantic Standards Semantic Semantic Social
Search Text Analysis Content Mgmt. Computing
Standards Automated Knowledge Linked Data
Text Analysis Reasoning based Apps Predictive
Automated Semantic Semantic Social Analytics
Reasoning Content Mgmt. Computing
Semantic Knowledge Linked Data
Content Mgmt. based Apps Predictive
Knowledge Semantic Social Analytics Legend
based Computing
applications Linked Data Matured
Semantic Social Predictive Advanced
Computing Analytics
Progressive
Linked Data
Inception
2011 2012 2013 2014
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6. Product Map vis-à-vis Opportunity Areas
Functional Areas Technology Components Availability in Content Social Media Semantic Advertising Text Consumer Semantic
Veda Management Platform Search Tools Analysis Insights Mobile and
Platform Web Apps
Content Web crawler Yes Y Y Y Y
Aggregators Email crawler Yes Y Y Y Y
File crawler Yes Y Y Y Y
Database crawler Yes Y Y Y
Adapter for Online Feeds (RSS, Atom) WIP Y Y Y Y Y
Adapter for Twitter Yes Y Y Y Y Y
Adapater for Facebook Yes Y Y Y Y Y
Adapter for LinkedIn Yes Y Y Y Y
Semantic Semantic Net Editor Yes Y Y Y Y Y Y
Network / Ontology Editor Yes Y Y Y Y Y Y
Ontology Semantic Rule Editor Yes Y Y Y Y Y Y
Semantic Storage Ontology storage (RDBMS) Yes Y Y Y Y Y
of Content Semantic Net Storage (RDBMS, XML) Yes Y Y Y Y Y
Semantic Semantic Net based classification Yes Y Y Y Y Y
Organization of Bayes Naïve Classifier Yes Y Y Y
Content Ontology Inference Engine (support for Yes Y Y Y Y
OWL 1.0)
Semantic Semantic Matching (Semantic Net) Yes Y Y Y
Retrieval Semantic Browsing Yes Y Y Y Y
Latent Semantic Indexing Yes Y Y
Semantic Net API Yes Y Y Y
OWL API Yes Y Y Y Y
Semantic Preprocessing - Identification of Yes Y Y Y Y Y Y Y
understanding of paragraphs and sentences
content and Preprocessing - Identification of POS Yes Y Y Y Y Y Y Y
natural language Preprocessing - Identification of term Yes Y Y Y Y Y Y Y
query Preprocessing - Word Stemming Yes Y Y Y Y Y Y Y
Preprocessing - Removal of stopwords Yes Y Y Y Y Y Y Y
Weighting schemes for terms Yes Y Y Y Y Y Y Y
Named Entity Recognition and WIP Y Y Y Y Y Y Y
Relationships (NLP based)
Named Entity Recognition (Visual Yes Y Y Y Y Y Y Y
Segregation)
Phrase Identification Yes Y Y Y Y Y Y Y
6 Sentiment Analysis WIP Y Y Y
7. Veda Solutions Currently Deployed
Veda for Business Process Workflow
• Configurable to any
Business requirement
across Industries
• Sources of content
can be structured
AND Unstructured
• Can be integrated to various Business Applications -
ERP, Content Management, Portals, etc.
• Configurable User Interface with features such as:
– Saving of Search for later reference
– Tabbed Views
– No. of results to be displayed with sort order
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8. Veda Solutions Currently Deployed
Veda Social Media Analytics
Registration & log in
Inputs from Social Media
Inputs from Blogs, Websites
Heirarchy & Relevance Analysis
Sentiment Analysis
Rich Reporting
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10. Veda Solutions Currently Deployed
Veda Patent Search
Registration & log in
Subscription
Payment Gateway
Keyword Search
Semantic Search
Rich Internet Application
Saved Search
Filters
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11. Industry Examples of Applicability of
Veda
• Healthcare: Patient Treatment Process using
• Patient’s past records
• Recent treatment of similar ailments across the
Hospital / State / Country, etc.
• Medical Research information available in the
Internet
• Professionals: Tax / Legal / Patent Filing using
• Case Laws, Guidelines, Notifications
• Statutory Records, Past Filings
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12. Industry Examples of Applicability of
Veda
• Manufacturing: Purchase Process using
• Past Purchase documents
• Material documents / brochures
• Live Pricing information from websites of
Suppliers, Exchanges, e-Commerce sites
• Human Relations: Recruitment / Appraisal
Process using
• Past Employee Records
• Profiles from Social Networking sites
12 • Recent performance data
13. Key Differentiators
1. One of the few Semantic Product Companies
worldwide that has an end-to-end technology
coverage
2. One of the few Semantic companies worldwide
adopting a Business Application centric view
3. One of the few Semantic Organizations with a
strong in-house Implementation Team
4. Ability to provide different Commercial Models
based on Customer requirements
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