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Indexing dataspaces

In SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data (2007), pp. 43-54.

X Abstract

Dataspaces are collections of heterogeneous and partially unstructured data. Unlike data-integration systems that also offer uniform access to heterogeneous data sources, dataspaces do not assume that all the semantic relationships between sources are known and specified. Much of the user interaction with dataspaces involves exploring the data, and users do not have a single schema to which they can pose queries. Consequently, it is important that queries are allowed to specify varying degrees of structure, spanning keyword queries to more structure-aware queries.

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This article has been bookmarked 11 times, initially on 2007-06-27.

2009-07-10 User vsavenkov
2009-03-05 User mogwaing
2008-11-12 User rmbrad
2008-10-28 User gladwig
2008-10-10 User bozhaouiuc
2008-02-24 User vannevarvision
2007-11-30 User tulaydemir
2007-09-04 User eweaver
2007-08-17 User egh
2007-06-27 User lillejul , 1 note

Proposes a 1-table index capturing keyword search in an entity's *direct* attributes and *direct* attribute of one of it's *direct* "associated" (=related) entity. It also takes into account predicate hierarchies and (trivially) synonymity.

2007-06-27 16:18:50
Group L3S
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