Synthesizing structured text from logical database subsets

Simitsis, A; Koutrika, G; Alexandrakis, Y; Ioannidis, Y

dc.contributor.author	Simitsis, A	en
dc.contributor.author	Koutrika, G	en
dc.contributor.author	Alexandrakis, Y	en
dc.contributor.author	Ioannidis, Y	en
dc.date.accessioned	2014-03-01T02:51:30Z
dc.date.available	2014-03-01T02:51:30Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35518
dc.subject	Information Access	en
dc.subject	Structured Data	en
dc.subject	Front End	en
dc.title	Synthesizing structured text from logical database subsets	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1353343.1353396	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1353343.1353396	en
heal.publicationDate	2008	en
heal.abstract	In the classical database world, information access has been based on a paradigm that involves structured, schema-aware, queries and tabular answers. In the current environment, however, where infor- mation prevails in most activities of society, serving people, ap- plications, and devices in dramatically increasing numbers, this paradigm has proved to be very limited. On the query side, much work has	en
heal.journalName	Extending Database Technology	en
dc.identifier.doi	10.1145/1353343.1353396	en