NDLI: Curated databases

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Curated databases

The recovery of a schema mapping: bringing exchanged data back

Evaluating rank joins with optimal cost

Estimating PageRank on graph streams

Approximating predicates and expressive queries on probabilistic databases

Answering aggregate queries in data exchange

Dependencies revisited for improving data quality

On searching compressed string collections cache-obliviously

Static analysis of active XML systems

XPath evaluation in linear time

Near-optimal dynamic replication in unstructured peer-to-peer networks

PODS Alberto O. Mendelzon Test-of-Time Award 2008

On the complexity of deriving schema mappings from database instances

Effective characterizations of tree logics

A generic flow algorithm for shared filter ordering problems

Incorporating constraints in probabilistic XML

Data exchange and schema mappings in open and closed worlds

Epistemic privacy

Approximation algorithms for clustering uncertain data

Complexity and composition of synthesized web services

XPath, transitive closure logic, and nested tree walking automata

Type inference for datalog and its application to query optimisation

SIGMOD 10-year Test-of-Time Award: “Integration of heterogeneous databases without common domains using queries based on textual simularity”

Towards a theory of schema-mapping optimization

Time-decaying aggregates in out-of-order streams

Query evaluation with soft-key constraints

The chase revisited

Approximation algorithms for co-clustering

Local Hoare reasoning about DOM

Shape sensitive geometric monitoring

SIGMOD Best Dissertation Award: “Efficient query processing over inconsistent databases”

The power of two min-hashes for similarity search among hierarchical data objects

Annotated XML: queries and provenance

Tree-width and functional dependencies in databases

Best Newcomer Award: Evaluating rank joins with optimal costs

Curated databases

Content Provider	ACM Digital Library
Author	Buneman, Peter Vansummeren, Stijn Cheney, James Tan, Wang-Chiew
Abstract	Curated databases are databases that are populated and updated with a great deal of human effort. Most reference works that one traditionally found on the reference shelves of libraries -- dictionaries, encyclopedias, gazetteers etc. -- are now curated databases. Since it is now easy to publish databases on the web, there has been an explosion in the number of new curated databases used in scientific research. The value of curated databases lies in the organization and the quality of the data they contain. Like the paper reference works they have replaced, they usually represent the efforts of a dedicated group of people to produce a definitive description of some subject area. Curated databases present a number of challenges for database research. The topics of annotation, provenance, and citation are central, because curated databases are heavily cross-referenced with, and include data from, other databases, and much of the work of a curator is annotating existing data. Evolution of structure is important because these databases often evolve from semistructured representations, and because they have to accommodate new scientific discoveries. Much of the work in these areas is in its infancy, but it is beginning to provide suggest new research for both theory and practice. We discuss some of this research and emphasize the need to find appropriate models of the processes associated with curated databases.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF MP4
ISBN	9781605581521
DOI	10.1145/1376916.1376918
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-06-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Provenance Curation Archiving Annotation
Content Type	Audio Text
Resource Type	Article

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