Flexible Information Retrieval on XML Documents

2003 ◽  
pp. 95-106 ◽  
Author(s):  
Torsten Grabs ◽  
Hans-Jörg Schek
Keyword(s):  
Information Retrieval ◽  
Xml Documents

GuessXQ

2013 ◽  
pp. 57-76
Author(s):  
Daniela Morais Fonte ◽  
Daniela da Cruz ◽  
Pedro Rangel Henriques ◽  
Alda Lopes Gancarski
Keyword(s):  
Information Retrieval ◽  
Learning Process ◽  
Web Application ◽  
Relational Databases ◽  
Query Language ◽  
General Purpose ◽  
Considerable Effort ◽  
Document Structure ◽  
Query By Example ◽  
Xml Documents

XML is a widely used general-purpose annotation formalism for creating custom markup languages. XML annotations give structure to plain documents to interpret their content. To extract information from XML documents XPath and XQuery languages can be used. However, the learning of these dialects requires a considerable effort. In this context, the traditional Query-By-Example methodology (for Relational Databases) can be an important contribution to leverage this learning process, freeing the user from knowing the specific query language details or even the document structure. This chapter describes how to apply the Query-By-Example concept in a Web-application for information retrieval from XML documents, the GuessXQ system. This engine is capable of deducing, from an example, the respective XQuery statement. The example consists of marking the desired components directly on a sample document, picked-up from a collection. After inferring the corresponding query, GuessXQ applies it to the collection to obtain the desired result.

Information Retrieval System for XML Documents

2002 ◽  
pp. 758-767 ◽  
Author(s):  
Kenji Hatano ◽  
Hiroko Kinutani ◽  
Masatoshi Yoshikawa ◽  
Shunsuke Uemura
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Xml Documents

Efficient evaluation of linear path expressions on large-scale heterogeneous XML documents using information retrieval techniques

2006 ◽  
Vol 79 (2) ◽  
pp. 180-190 ◽  
Author(s):  
Young-Ho Park ◽  
Kyu-Young Whang ◽  
Byung Suk Lee ◽  
Wook-Shin Han
Keyword(s):  
Information Retrieval ◽  
Large Scale ◽  
Linear Path ◽  
Xml Documents

Algebraic Modeling of Information Retrieval in XML Documents

2009 ◽  
Author(s):  
Bozhidar Georgiev ◽  
Adriana Georgieva ◽  
George Venkov ◽  
Ralitza Kovacheva ◽  
Vesela Pasheva
Keyword(s):  
Information Retrieval ◽  
Xml Documents

scholarly journals SAGAXSEARCH: AN XML INFORMATION RETRIEVAL MECHANISM USING SELF ADAPTIVE GENETIC ALGORITHMS

2005 ◽  
Vol 05 (04) ◽  
pp. 471-493 ◽  
Author(s):  
K. G. SRINIVASA ◽  
S. SHARATH ◽  
K. R. VENUGOPAL ◽  
M. PATNAIK
Keyword(s):  
Genetic Algorithms ◽  
Information Retrieval ◽  
Database Systems ◽  
Query Execution ◽  
Text Documents ◽  
Relationship Strength ◽  
Adaptive Genetic Algorithms ◽  
Xml Documents ◽  
Retrieval Mechanism ◽  
Self Adaptive

The XML technology, with its self-describing and extensible tags, is significantly contributing to the next generation semantic web. The present search techniques used for HTML and text documents are not efficient when retrieving relevant XML documents. In this paper, Self Adaptive Genetic Algorithms are presented to learn about the tags, which are useful in indexing. The indices and relationship strength metric are used to extract fast and accurate semantically related elements in the XML documents. The Experiments are conducted on the DataBase systems and Logic Programming (DBLP) XML corpus and are evaluated for precision and recall. The proposed SAGAXsearch outperforms XSEarch3 and XRank20 with respect to accuracy and query execution time.

Sign in / Sign up

Export Citation Format

Share Document