A New Query Processing Scheme in a Web Data Engine

Authors:
Zhiqiang Zhang;Chunxiao Xing;Lizhu Zhou;Jianhua Feng
Affiliations:
-;-;-;-
Venue:
DNIS '02 Proceedings of the Second International Workshop on Databases in Networked Information Systems
Year:
2002

Citing 8
Cited 3

Query reformulation for dynamic information integration

Journal of Intelligent Information Systems - Special issue on intelligent integration of information
OBSERVER: An Approach for Query Processing in Global Information Systems Based on Interoperation Across Pre-Existing Ontologies

Distributed and Parallel Databases
The webspace method: on the integration of database technology with multimedia retrieval

Proceedings of the ninth international conference on Information and knowledge management
Database Management Systems

Database Management Systems
Querying Heterogeneous Information Sources Using Source Descriptions

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Object Views through Search Views of Web Datasources

ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
An Ontology-Based Method for Querying the Web Data

AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
Planning by rewriting: efficiently generating high-quality plans

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

Three-level schema model in a web data engine

ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
WEBDL: a specific digital library for web data

ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Schema driven and topic specific web crawling

DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

The explosion of information on the web turns the search for interested information from the web into a great challenge. In this paper, we present a system called Web Data Engine-SESQ (Search Extract Store Query) that is designed to solve this problem by integrating database techniques with search engine techniques. In contrast with traditional database systems and searching engines, SESQ is different in data model, query expression, data storage schema and the use of index.