textabstractStand-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
The ubiquitous usage of databases for managing structured data, compounded with the expanded reach o...
The task of an information retrieval system is to identify documents that will satisfy a user’s info...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). S...
Stand-alone ranking systems based on highly optimized inverted file structures are generally conside...
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 technology underlying text search engines has advanced dramatically in the past decade. The deve...
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...
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SV...
The combination of IR and structure form (XML) make the retrieval process become more powerful then ...
ABSTRACT Implementing keyword search and other IR tasks on top of relational engines has become viab...
The ubiquitous usage of databases for managing structured data, compounded with the expanded reach o...
The task of an information retrieval system is to identify documents that will satisfy a user’s info...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). S...
Stand-alone ranking systems based on highly optimized inverted file structures are generally conside...
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 technology underlying text search engines has advanced dramatically in the past decade. The deve...
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...
When using Information Retrieval Systems (IRS), users often present search queries made of ad-hoc ke...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SV...
The combination of IR and structure form (XML) make the retrieval process become more powerful then ...
ABSTRACT Implementing keyword search and other IR tasks on top of relational engines has become viab...
The ubiquitous usage of databases for managing structured data, compounded with the expanded reach o...
The task of an information retrieval system is to identify documents that will satisfy a user’s info...
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). S...