Abstract—The present work covers a comparison of the text retrieval qualities of open source relational databases and Lucene, which is a full text search engine library, over English documents. TREC-4 adhoc task is completed to compare both search effectiveness and search efficiency. Two relational database management systems and four different well-known English stemming algorithms have been tried. It has been found that language specific preprocessing improves retrieval quality for all systems. The results of the English text retrieval experiments by using Lucene are at par with top six results presented at TREC-4 automatic adhoc. Although open source relational databases integrated full text retrieval technology, their relevancy ranking ...
The TREC-6 interactive task used a multi-site experimental protocol, where each participating site c...
In this paper we implement a document retrieval system using the Lucene tool and we conduct some exp...
This paper presents an integrated language model to improve document relevancy for text-queries. To ...
compare the performance of information retrieval tech-niques in various settings, the data-sets whic...
For TREC-7, the Berkeley ad-hoc experiments explored more phrase discovery in topics and documents. ...
In this paper we report on the joint GE/Lockheed Martin/Rutgers/NYU natural language information ret...
Cross-lingual information retrieval is a difficult task typically involving query translation into m...
The TREC-8 evaluation of the CINDOR system was based on English and French data from the cross-langu...
For TREC-4, we enhanced our existing prototype that implements relevance ranking using the AT&T ...
Abstract: Transaction processing in organizations commonly use relational database, but big part of ...
This paper studies methods to enhance cross-language retrieval of domain-specific documents. English...
This paper presents the ITEM multilingual search engine. This search engine performs full lexical pr...
this paper focuses on system-oriented comparisons. A subsequent paper will focus on user-oriented fa...
For the multilingual ad-hoc document retrieval track (TEL) at CLEF, Trinity College Dublin and Dubl...
This paper describes the official runs of the Twenty-One group for TREC-8. The Twenty-One group part...
The TREC-6 interactive task used a multi-site experimental protocol, where each participating site c...
In this paper we implement a document retrieval system using the Lucene tool and we conduct some exp...
This paper presents an integrated language model to improve document relevancy for text-queries. To ...
compare the performance of information retrieval tech-niques in various settings, the data-sets whic...
For TREC-7, the Berkeley ad-hoc experiments explored more phrase discovery in topics and documents. ...
In this paper we report on the joint GE/Lockheed Martin/Rutgers/NYU natural language information ret...
Cross-lingual information retrieval is a difficult task typically involving query translation into m...
The TREC-8 evaluation of the CINDOR system was based on English and French data from the cross-langu...
For TREC-4, we enhanced our existing prototype that implements relevance ranking using the AT&T ...
Abstract: Transaction processing in organizations commonly use relational database, but big part of ...
This paper studies methods to enhance cross-language retrieval of domain-specific documents. English...
This paper presents the ITEM multilingual search engine. This search engine performs full lexical pr...
this paper focuses on system-oriented comparisons. A subsequent paper will focus on user-oriented fa...
For the multilingual ad-hoc document retrieval track (TEL) at CLEF, Trinity College Dublin and Dubl...
This paper describes the official runs of the Twenty-One group for TREC-8. The Twenty-One group part...
The TREC-6 interactive task used a multi-site experimental protocol, where each participating site c...
In this paper we implement a document retrieval system using the Lucene tool and we conduct some exp...
This paper presents an integrated language model to improve document relevancy for text-queries. To ...