Integrating keyword search into XML query processing
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Selectivity Estimation for XML Twigs
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Efficient keyword search for smallest LCAs in XML databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Précis: The Essence of a Query Answer
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Multiway SLCA-based keyword search in XML data
Proceedings of the 16th international conference on World Wide Web
Identifying meaningful return information for XML keyword search
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Structure and value synopses for XML data graphs
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
XSEarch: a semantic search engine for XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Effective keyword search for valuable lcas over xml documents
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Efficient LCA based keyword search in XML data
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Reasoning and identifying relevant matches for XML keyword search
Proceedings of the VLDB Endowment
Retrieving meaningful relaxed tightest fragments for XML keyword search
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Fast Indexes and Algorithms for Set Similarity Selection Queries
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Effective XML Keyword Search with Relevance Oriented Ranking
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Effective, design-independent XML keyword search
Proceedings of the 18th ACM conference on Information and knowledge management
Structured search result differentiation
Proceedings of the VLDB Endowment
A survey on XML keyword search
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Processing keyword search on XML: a survey
World Wide Web
Top-K data source selection for keyword queries over multiple XML data sources
Journal of Information Science
Efficient keyword search on large tree structured datasets
KEYS '12 Proceedings of the Third International Workshop on Keyword Search on Structured Data
XML filtering with XPath expressions containing parent and ancestor axes
Information Sciences: an International Journal
ELCA evaluation for keyword search on probabilistic XML data
World Wide Web
MESSIAH: missing element-conscious SLCA nodes search in XML data
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Exploiting structures in keyword queries for effective XML search
Information Sciences: an International Journal
Effectively return query results for keyword search on XML data
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Hi-index | 0.00 |
Although keyword query enables inexperienced users to easily search XML database with no specific knowledge of complex structured query languages or XML data schemas, the ambiguity of keyword query may result in generating a great number of results that may be classified into different types. For users, each result type implies a possible search intention. To improve the performance of keyword query, it is desirable to efficiently work out the most relevant result type from the data to be retrieved. Several recent research works have focused on this interesting problem by using data schema information or pure IR-style statical information. However, this problem is still open due to some requirements. (1) The data to be retrieved may not contain schema information; (2) Relevant result types should be efficiently computed before keyword query evaluation; (3) The correlation between a result type and a keyword query should be measured by analyzing the distribution of relevant values and structures within the data. As we know, none of existing work satisfies the above three requirements together. To address the problem, we propose an estimation-based approach to compute the promising result types for a keyword query, which can help a user quickly narrow down to her specific information need. To speed up the computation, we designed new algorithms based on the indexes to be built. Finally, we present a set of experimental results that evaluate the proposed algorithms and show the potential of this work.