This document discusses the design and implementation of an inverted index search program. It begins with an introduction to inverted indexes, describing them as data structures that map content like words to their locations in documents, allowing for fast full-text searches. It then outlines the important tasks of indexing and querying - indexing involves creating a database of words from input files, while querying searches the index database for input search terms. The design section provides more details on how indexing and querying would work, such as hashing words and storing them in a linked list with file references. Examples are also given of how the search program would call indexing to build the database, search it, and update it as needed.

1. INVERTED
SEARCH
MARUTHI H

2. AGENDA
Introduction​
Design
​Implementation
Conclusion

3. INTRODUCTION
An inverted index is an index data structure storing a mapping
from content, such as words or numbers, to its locations in a
database file, or in a document or a set of documents. The
purpose of an inverted index is to allow fast full text searches, at
the cost of increased processing when a document is added to
the database. The inverted file may be the database file itself,
rather than its index. It is the most popular data structure used in
document retrieval systems, used on a large scale for example in
search engines.
Inverted search 3

4. REQUIREMENTS
Inverted search 4
● Hashing – Each data is mapped with a unique key.
● Single linked list - Linear collection of data elements where the linear node is
given by means of pointer.

5. IMPORTANT TASKS IN THIS
PROJECT
Inverted search 5
• Implementing this search program mainly consists two important
functions.
1. Indexing.
2. Querying.

6. INDEXING
By Indexing, we are creating a database file which contains the
index of all words. So this can be termed as Database Creation
also. All the files whose index are to be created are selected and
inputed to this function. All the files are parsed and words are
separated and indexed. They are arranged in sorted order. For
this a sorted Linked List or Hashing is used which will store the
words and the related file details. The index thus created is then
stored in the file as database. This file is later used in Querying.
While the files are removed or added this index file is updated
6

7. Inverted search
7

8. Inverted search 8
Searching:
Once the Indexing is over we have the Querying or Searching. The
text to be searched is inputted which is parsed into words and those
words are searched in the index file. To avoid the overhead of
reading the file again, the file is converted back to a linked List or
hashing program, in which the words are searched. The information
about the files which contain the words are collected. The ones with
more matches are filtered and produced as the result.

9. EXAMPLE FOR SEARCH
9

10. 1.THIS MAIN PROGRAM CALLS THE INDEXING FUNCTION.
2.IT READS A TEXT FILE FOR THE INPUT FILES AND AS AN OUTPUT IT CREATES AN
INDEX FILE IN THE SAME DIRECTORY.
3.FOR UPDATING THE DATABASE ALSO THIS PROGRAM CAN BE CALLED ANYTIME.
INT MAIN ( INT ARGC, CHAR** ARGV );
10
CREATE
DATABASE
1.Select the files
from a command
line.
2.Read and validate
file.
• Select words
• Store in index
along with file
name.
3.Close the file when
it reaches NULL.
DISPLAY
DATABASE
I->W->FC->FN-
>WC
Note: Print the result
in order.
SEARCH
DATABASE
1.Read data from
user.
2.Perform toupper().
3.Perform Modulus to
get index number
(H%65=7).
4.With temporary
variable traverse if
present display
database else return
data not found.
UPDATE
DATABASE
1.Read the saved
database file from
user and validate
file
2.Read the
database
3.Separate
database by word s
and tokens(strtok()).
4.Store database in
list.
5.Display
SAVE
DATABASE
1.Read empty file
2.Store the
database which
read from input files.
3.Save
DESIGN

11. Inverted search 11
References
1. https://en.wikipedia.org/wiki/Inverted_index
2. https://nlp.stanford.edu/IR-book/html/htmledition/a-
first-take-at-building-an-inverted-index-1.h tml
3. https://www.ijcsi.org/papers/IJCSI-8-4-1-384-392.pdf
4. https://www.elastic.co/guide/en/elasticsearch/guide/c
urrent/inverted-index.html
5. https://www.quora.com/Information-Retrieval-What-
is-inverted-index
CONLUSION
The purpose of storing an index is to
optimize speed and performance in
finding relevant documents for a search
query to Achieve time complexity = O(1)

12. THANK YOU
MARUTHI H
Trainee@emertxe