Digital Symposium Collection 2000

The Jungle Database Search Engine Michael H. Böhlen, Linas Bukauskas, and Curtis E. Dyreson   View Paper (PDF)     View Demo (HTML)   Return to Demonstrations Abstract Information spread in in databases cannot be found by current search engines. A database search engine is capable to access and advertise database on the WWW. Jungle is a database search engine prototype developed at Aalborg University. Operating through JDBC connections to remote databases, Jungle extracts and indexes database data and meta-data, building a data store of database information. This information is used to evaluate and optimize queries in the AQUA query language. AQUA is a natural and intuitive database query language that helps users to search for information without knowing how that information is structured. This paper gives an overview of AQUA and describes the implementation of Jungle. References Note: References link to DBLP on the Web. [HCF97] ... [LG98] ... [LSS93] Laks V. S. Lakshmanan , Fereidoon Sadri , Iyer N. Subramanian : On the Logical Foundations of Schema Integration and Evolution in Heterogeneous Database Systems. DOOD 1993 : 81-100 [Mot86] Amihai Motro : BAROQUE: A Browser for Relational Databases. TOIS 4(2) : 164-181(1986) BIBTEX @inproceedings{DBLP:conf/sigmod/BohlenBD99,   author    = {Michael H. B{\"o}hlen and                 Linas Bukauskas and                 Curtis E. Dyreson},    editor    = {Alex Delis and                 Christos Faloutsos and                 Shahram Ghandeharizadeh},    title     = {The Jungle Database Search Engine},    booktitle = {SIGMOD 1999, Proceedings ACM SIGMOD International Conference                 on Management of Data, June 1-3, 1999, Philadephia, Pennsylvania,                 USA},    publisher = {ACM Press},    year      = {1999},    isbn      = {1-58113-084-8},    pages     = {584-586},    crossref  = {DBLP:conf/sigmod/99},    bibsource = {DBLP, http://dblp.uni-trier.de} } }, Copyright(C) 2000 ACM