Presentation of the B.Tech final year project.

1. Embeddable concept maps
FOR
websites
Ashish Dubey
B.Tech CSE, 2013-14

2. What is a concept Map?
Representation of entities and relationships in natural language
text.
Concepts in a document become nodes
Relationships become the edges connection concepts.

3. Example
Extracted from an article about tree. Clearly shows the
interesting attributes.

4. HOW CAN THEY be
USED?
Easy understanding of an article.
Concept discovery
Helps in ideation
Natural language search - answer finding

5. Purpose of embeddable
concept maps
Can be used as an infographic for representing text.
Just like word clouds.
Can be used on blogs, and other websites

6. project aim
Build a concept graph engine
Should be re-usable
Build a service to allow easy embedding of concept maps
into web pages.

7. existing work
Lot of manual tools for concept map construction
Not many automatic tools
No re-usable frameworks

8. Workflow
(registered) User adds their websites and pages.
Pages are processed upon adding
Users copy-paste the embed snippet into their page
The embed script constructs the concept map on the page

9. Architecture interaction

10. Extraction service
Written in Scala
Uses StanfordCoreNLP and OLLIE libraries for information
extraction
Simple TCP server accepting text and returning relation
triples

11. Web/API server
Written in Python/Django
Serves all the web content
Handles user registration and sign-in
Serves the data for the frontend using the API
Communicates with the extraction service whenever a new
page is added

12. Dashboard
Written in JavaScript/CSS
Allows users to manage websites/pages
Client side app which gets data via API
Embed script
Uses D3.js to contruct graphs
Gets data for a particular page via API as well
Allows user to zoom-in/out to control details in the concept
map

13. (DEMO)

14. Thank you
Source Code
https://github.com/dash1291/major