Comprehensive Study and Comparison of Information Retrieval Indexing Techniques

Abstract

This research is aimed at comparing techniques of indexing that exist in the current information retrieval processes. The techniques being inverted files, suffix trees, and signature files will be critically described and discussed. The differences that occur in their use will be discussed. The performance and stability of each indexing technique will be critically studied and compared with the rest of the techniques. The paper also aims at showing by the end the role that indexing plays in the process of retrieving information. It is a comparison of the three indexing techniques that will be introduced in this paper. However, the details arising from the detailed comparison will also enhance more understanding of the indexing techniques.

Authors and Affiliations

Zohair Malki

Keywords

Related Articles

Developing an Algorithm for Securing the Biometric Data Template in the Database

In the current technology advancement, biometric template provides a dependable solution to the problem of user verification in an identity control system. The template is saved in the database during the enrollment and...

: An Approach to Improve the Representation of the User Model in the Web-Based

  A major shortcoming of content-based approaches exists in the representation of the user model. Content-based approaches often employ term vectors to represent each user’s interest. In doing so, they ignore t...

Distributed Energy Efficient Node Relocation Algorithm (DEENR)

Wireless Sensor Networks (WSNs) due to their inherent features are vulnerable to single or multiple sensor node failure. Node’s failure can result in partitioning of the networks resulting in loss of inter-node connectiv...

Middleware to integrate heterogeneous Learning Management Systems and initial results

The use of the Learning Management Systems (LMS) has been increased. It is desirable to access multiple learning objects that are managed by Learning Management Systems. The diversity of LMS allow us to consider them as...

Big Data Processing for Full-Text Search and Visualization with Elasticsearch

In this paper, the task of using Big Data to identify specific individuals on the indirect grounds of their interaction with information resources is considered. Possible sources of Big Data and problems related to its p...

Download PDF file
  • EP ID EP117658
  • DOI 10.14569/IJACSA.2016.070120
  • Views 118
  • Downloads 0

How To Cite

Zohair Malki (2016). Comprehensive Study and Comparison of Information Retrieval Indexing Techniques. International Journal of Advanced Computer Science & Applications, 7(1), 132-140. https://www.europub.co.uk/articles/-A-117658