Agenda for Presenation

What is NLIDB What has been done What is to be done

What is NLIDB?

Organized Data Questions and Answers Use of SQL Basically, we are trying to extract

data present in SQL databases

What is the BIG idea?

Correspondence between relationships and verbs (or Adjectives)

Concept of verb frames to represent the relationships

What is a verb frame??? A frame with a central verb and some

arguments

How does this idea work?

Some information we need to provide to the NLIDB Understanding the database The different verb frames present

How this information is presented? The 5 files that the developer needs to

make

ER representation Example Format

%er_rep = { student => { type => 'entity' , attribute =>

[ Student_ID,Name,Date_OF_Birth,Email,Sex,Address,City,State,Pin,Sex,CGPA,Program_ Name,Year_Of_Admission ] ,

primary_key => 'Student_ID' , rel_ship => 'register' } ,

registration => { type => 'relationship' , attribute =>

[ Student_ID,Course_Code,Course_Grade ], primary_key => 'Student_ID,Course_Code' , entity => 'student,course_offering' }

Verb Frames Example Format

NLexpr=STUDENT$ GET GRADE$ IN COURSE$ERexpr=register(student._key_,course_offering.grad

e,course_offering._key_)NL-Er_Mapping=Verb::GET;SUBJ::STUDENT$::student._key_;OBJ::GRADE$::registration.Course_Grade;PP_IN::COURSE$::course_offering.Course_Name;

Definitions

Example FormatSTUDENT$=pupil,student;GRADE$=grade,marks,percentage;

Join Information

Example Formatfaculty:course_offering=>FACULTY.Faculty_

ID=COURSE_OFFERING.Faculty_IDCourse_offering:registration=>COURSE_OF

FERING.Course_Code=REGISTRATION.Course_Code

registration:student=>STUDENT.Student_ID=REGISTRATION.Student_ID

Database Information

Example Format: IP Address of Database Server =

172.16.9.26 Database Name = academics UserName = root Password = nlidb123

What all can the system do?

Understand simple sentences Understand alternatives of nouns

used Understand alternatives of verbs used Come up with a probable answer

What can it be made to do?

A lot of things Handle complex sentences (Nested

Queries) Simple Dialog Modeling (A project on

Semantic Completion is done) Improved Adjectives Handling

Non NLP stuff which can be done

Distribution mechanism for different domain/database data

Improving database search Different DBMS

The End

Questions?