The document discusses the integration of a chatbot for data retrieval and analytics to aid decision making at Universiti Sains Malaysia's School of Computer Sciences. It outlines various queries a chatbot can handle regarding publications, including total articles and citation comparisons, demonstrating the potential for transforming unstructured data into structured queries. Additionally, it highlights ongoing research collaboration efforts and the importance of making academic research relevant to industry applications.

1. Interfacing Chatbot
with Data Retrieval
and Analytics
Queries for Decision
Making
Gan Keng Hoon
School of Computer Sciences
Universiti Sains Malaysia

2. Data Retrieval

3. Decision Making

4. Analytics Queries
What is the total articles published in the 1st quarter?
Who published the most?
What are the popular research areas?
Please compare the citations for year 2017 and the year before.
Is there a correlation between the
number of articles published and
the number of supervised students?

5. Chatbot

6. “total articles published in the 1st quarter?"
// generate a corresponding intermediate object with
the following contents
intent: count (from keyword “total")
target entity: article
constraint entity: date
constraint entity values: january, february, march
// from the object, SQL processing engine will
generate a query as following
SELECT article’, COUNT(article') FROM
PUBLICATIONS
WHERE ‘date' = “jan” or ‘date' = “feb” or
‘date’=“mar”;
Interface

7. The Big Picture

8. Text
Mining
Information
Extraction
Text
Classification
Text Annotation &
Representation
Information
Retrieval
Resources Query/Needs
NLP
Aspect/Opinion
Mining
Aspect-Sentiment
Extraction
Polarity Scoring
Aspect/Review
Classification
Talk About
Deep Search of
Expert Profile
Facet-Value
Extraction
Article
Classification
Semantic Relation
Extraction
The Bridge: Unstructured
to Structured
Natural Language
Query Interface
Structured Query
Construction
Unstructured to
Structured
Representation
This vs Other Projects

9. Expert Search
SummaRev: Reviews Analysis and Summarization
TalkAbout: Aspect Mining
Implemented Works

10. Making research industry relevant
(Train industry relevant graduates)
Turning research into production
(How is it possible from academic setting?)
Probably a good collaboration setting will help …
THANK YOU
Visit our works at ir.cs.usm.my
Drop me an email at khgan@usm.my
Collaborations + Discussions