An Empirical Performance Evaluation of Relational Keyword Search Techniques(2014)

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ABSTRACT:

Extending the keyword search paradigm to relational data has been an active area of research within the database and IR community during the past decade. Many approaches have been proposed, but despite numerous publications, there remains a severe lack of standardization for the evaluation of proposed search techniques. Lack of standardization has resulted in contradictory results from different evaluations, and the numerous discrepancies muddle what advantages are proffered by different approaches. In this paper, we present the most extensive empirical performance evaluation of relational keyword search techniques to appear to date in the literature. Our results indicate that many existing search techniques do not provide acceptable performance for realistic retrieval tasks. In particular, memory consumption precludes many search techniques from scaling beyond small data sets with tens of thousands of vertices. We also explore the relationship between execution time and factors varied in previous evaluations; our analysis indicates that most of these factors have relatively little impact on performance. In summary, our work confirms previous claims regarding the unacceptable performance of these search techniques and underscores the need for standardization in evaluations—standardization exemplified by the IR community.

EXISTING SYSTEM:

In existing system, extending the keyword search paradigm to relational data has been an active area of research within the database and information retrieval (IR) community. A large number of approaches have been proposed and implemented, but despite numerous publications, there remains a severe lack of standardization for system evaluations. This lack of standardization has resulted in contradictory results from Different evaluations and the numerous discrepancies muddle what advantages are proffered by different approaches.

DISADVANTAGES OF EXISTING SYSTEM:

·        Keyword Search without ranking.

·        Execution time is more.

PROPOSED SYSTEM:

In proposed system, empirical performance evaluation of relational keyword search systems. Our results indicate that many existing search techniques do not provide acceptable performance for realistic retrieval tasks. In particular, memory consumption precludes many search techniques from scaling beyond small datasets with tens of thousands of vertices. We also explore the relationship between execution time and factors varied in previous evaluations; our analysis indicates that these factors have relatively little impact on performance. In summary, our work confirms previous claims regarding the unacceptable performance of these systems and underscores the need for standardization as exemplified by the IR community when evaluating these retrieval systems.

ADVANTAGES OF PROPOSED SYSTEM:

·        Keyword Search with ranking.

·        Execution Time consumption is less.

·        File length and Execution time can be seen.

·        Ranking can be seen by using chart.

MODULES:

] Admin

] User

] Keyword  Search Module

] View Ranking of Files.

] View File Length and Execution time.

MODULES DESCRIPTION

1. Admin Module

Ø Can view User Details.

Ø Can upload files to search for the users.

Ø Can view up the uploaded files.

2. User Module

Ø User can search files by its keywords.

Ø Can view the file length, execution time of the files.

Ø Can view ranking of the files by the chart.

3. Keyword Search Module

Ø Files can be searched by their keyword which has been uploaded by the admin.

4. View Ranking of files

Ø File ranking can be viewed by the chart.

5. View File Length and Execution time

Ø File length has been read in KB format and stored it in database.

Ø Execution times of the files are also can be viewed in the database.

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

Ø System                          :         Pentium IV 2.4 GHz.

Ø Hard Disk                      :         40 GB.

Ø Floppy Drive                 :         1.44 Mb.

Ø Monitor                         :         15 VGA Colour.

Ø Mouse                            :         Logitech.

Ø Ram                               :         512 Mb.

SOFTWARE REQUIREMENTS:

Ø Operating system           :         Windows XP/7.

Ø Coding Language          :         ASP.net, C#.net

Ø Tool                                   :         Visual Studio 2010

Ø Database                         :         SQL SERVER 2008

Click here to download An Empirical Performance Evaluation of Relational Keyword Search Techniques(2014) source code