A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATA
The exponential growth of data generated from the Moroccan court makes it difficult to search for valuable knowledge within multiple and huge data sets. Traditional searching methods are not adapted to Big Data context. Indeed, handling the search of specific information on Big Data requires advance...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2022-03-01
|
| Series: | Jordanian Journal of Computers and Information Technology |
| Subjects: | |
| Online Access: | http://www.ejmanager.com/fulltextpdf.php?mno=9930 |
| _version_ | 1818982280844017664 |
|---|---|
| author | Ahmed OUSSOUS fatima zahra benjelloun |
| author_facet | Ahmed OUSSOUS fatima zahra benjelloun |
| author_sort | Ahmed OUSSOUS |
| collection | DOAJ |
| description | The exponential growth of data generated from the Moroccan court makes it difficult to search for valuable
knowledge within multiple and huge data sets. Traditional searching methods are not adapted to Big Data
context. Indeed, handling the search of specific information on Big Data requires advanced methods and a
powerful search systems. To contribute to the Court Digital Transformation Strategy, we aim to develop
a solution that will leverage the technological advances in this field. The project we propose consists in
developing new methods and techniques of artificial intelligence in order to automate the content of a large
mass of data produced by the jurisdictions of the Kingdom of Morocco and to design a system capable of
analyzing large volumes of complex judicial data. The aim is to discover and explain certain existing
phenomena or to extrapolate new knowledge from the information analyzed, to recognize shapes, to make
predictions and to make the necessary adjustments if necessary. For that, the purpose of this first study
is to investigate and examine the existing search and indexing technologies for Big Data. It compares the
leading solutions used for information retrieval in order to choose one that will serve as the base for our
jurisprudential search engine [JJCIT 2022; 8(1.000): 72-86] |
| first_indexed | 2024-12-20T17:44:43Z |
| format | Article |
| id | doaj.art-6d123f058b6440cf8b84f0aeabd1b4ba |
| institution | Directory Open Access Journal |
| issn | 2413-9351 |
| language | English |
| last_indexed | 2024-12-20T17:44:43Z |
| publishDate | 2022-03-01 |
| publisher | Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) |
| record_format | Article |
| series | Jordanian Journal of Computers and Information Technology |
| spelling | doaj.art-6d123f058b6440cf8b84f0aeabd1b4ba2022-12-21T19:31:00ZengScientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)Jordanian Journal of Computers and Information Technology2413-93512022-03-0181728610.5455/jjcit.71-16370977599930A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATAAhmed OUSSOUS0fatima zahra benjelloun1ahmed.oussous@fstm.ac.ma Fatima.benjelloun@uit.ac.maThe exponential growth of data generated from the Moroccan court makes it difficult to search for valuable knowledge within multiple and huge data sets. Traditional searching methods are not adapted to Big Data context. Indeed, handling the search of specific information on Big Data requires advanced methods and a powerful search systems. To contribute to the Court Digital Transformation Strategy, we aim to develop a solution that will leverage the technological advances in this field. The project we propose consists in developing new methods and techniques of artificial intelligence in order to automate the content of a large mass of data produced by the jurisdictions of the Kingdom of Morocco and to design a system capable of analyzing large volumes of complex judicial data. The aim is to discover and explain certain existing phenomena or to extrapolate new knowledge from the information analyzed, to recognize shapes, to make predictions and to make the necessary adjustments if necessary. For that, the purpose of this first study is to investigate and examine the existing search and indexing technologies for Big Data. It compares the leading solutions used for information retrieval in order to choose one that will serve as the base for our jurisprudential search engine [JJCIT 2022; 8(1.000): 72-86]http://www.ejmanager.com/fulltextpdf.php?mno=9930big dataindexationsearch enginessolrelasticsearchlucene |
| spellingShingle | Ahmed OUSSOUS fatima zahra benjelloun A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATA Jordanian Journal of Computers and Information Technology big data indexation search engines solr elasticsearch lucene |
| title | A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATA |
| title_full | A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATA |
| title_fullStr | A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATA |
| title_full_unstemmed | A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATA |
| title_short | A COMPARATIVE STUDY OF DIFFERENT SEARCH AND INDEXING TOOLS FOR BIG DATA |
| title_sort | comparative study of different search and indexing tools for big data |
| topic | big data indexation search engines solr elasticsearch lucene |
| url | http://www.ejmanager.com/fulltextpdf.php?mno=9930 |
| work_keys_str_mv | AT ahmedoussous acomparativestudyofdifferentsearchandindexingtoolsforbigdata AT fatimazahrabenjelloun acomparativestudyofdifferentsearchandindexingtoolsforbigdata AT ahmedoussous comparativestudyofdifferentsearchandindexingtoolsforbigdata AT fatimazahrabenjelloun comparativestudyofdifferentsearchandindexingtoolsforbigdata |