Stand-alone ranking systems based on highly optimized inverted file structures are generally considered `the' solution for building search engines. Observing various developments in software and hardware, we argue however that IR research faces a complex engineering problem in the quest formore flexible yet efficient retrieval systems. We propose to base the development of retrieval systems on `the database approach': mapping high-level declarative specifications of the retrieval process into efficient query plans. We present the Mirror DBMS as a prototype implementation of a retrieval system based on this approach
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
The combination of IR and structure form (XML) make the retrieval process become more powerful then ...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). S...
textabstractStand-alone ranking systems based on highly optimized inverted file structures are gener...
Stand-alone ranking systems based on highly optimized inverted file structures are generally con-sid...
For many years, information retrieval (IR) systems could have been adequately described as applicati...
Databases (DB) and information retrieval (IR)have evolved as separate fields. However, modern applic...
Abstract:- Text Information Retrieval(TIR) is considered the heart of many applications such as Docu...
The efficiency of retrieval system is crucial for large-scale information retrieval systems. By anal...
The growth in the volume of text data such as books and articles in libraries for centuries has impo...
ABSTRACT Implementing keyword search and other IR tasks on top of relational engines has become viab...
The technology underlying text search engines has advanced dramatically in the past decade. The deve...
The ubiquitous usage of databases for managing structured data, compounded with the expanded reach o...
Information retrieval (IR) is the process of finding relevant information, based on user queries, in...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SV...
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
The combination of IR and structure form (XML) make the retrieval process become more powerful then ...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). S...
textabstractStand-alone ranking systems based on highly optimized inverted file structures are gener...
Stand-alone ranking systems based on highly optimized inverted file structures are generally con-sid...
For many years, information retrieval (IR) systems could have been adequately described as applicati...
Databases (DB) and information retrieval (IR)have evolved as separate fields. However, modern applic...
Abstract:- Text Information Retrieval(TIR) is considered the heart of many applications such as Docu...
The efficiency of retrieval system is crucial for large-scale information retrieval systems. By anal...
The growth in the volume of text data such as books and articles in libraries for centuries has impo...
ABSTRACT Implementing keyword search and other IR tasks on top of relational engines has become viab...
The technology underlying text search engines has advanced dramatically in the past decade. The deve...
The ubiquitous usage of databases for managing structured data, compounded with the expanded reach o...
Information retrieval (IR) is the process of finding relevant information, based on user queries, in...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SV...
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
The combination of IR and structure form (XML) make the retrieval process become more powerful then ...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). S...