NDLI: Object Identification Quality

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Object Identification Quality

Content Provider	Semantic Scholar
Author	Neiling, Mattis Jurk, Steffen Naumann, Felix
Copyright Year	2002
Abstract	Research and industry has tackled the object identification problem of data integration in many different ways. This paper presents a framework, that allows the evaluation of competing approaches. To this end, complexity measures and data characteristics are introduced, which reflect the hardness of a given object identification problem. All characteristics can be estimated by use of simple SQL queries and simple calculations. Following the principle of benchmark definitions we specify a test framework. It consists of a test database and its characteristics, quality criteria, and a test specification. Adequate measures needed for the correctness criterion of the benchmark are given. A running example of the Berlin Online Apartment-Advertisements database (BOA) illustrates the approach. The BOA-database is freely available at www.wiwiss.fu-berlin.de/lenz/boa/.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://dc-pubs.dbs.uni-leipzig.de/files/Neiling2003ObjectIdentification.pdf
Alternate Webpage(s)	http://edoc.hu-berlin.de/oa/conferences/reZyPELZpaa4w/PDF/27UP92RdcFjp2.pdf
Alternate Webpage(s)	http://www.hpi.uni-potsdam.de/fileadmin/hpi/FG_Naumann/publications/DQCIS03b.pdf
Alternate Webpage(s)	http://www2.informatik.hu-berlin.de/mac/publications/DQCIS03b.pdf
Language	English
Access Restriction	Open
Subject Keyword	Benchmark (computing) Correctness (computer science) Data Base Management IBM Tivoli Storage Productivity Center Papillary thyroid carcinoma Published Database Qualitative comparative analysis SQL Solutions Specification Test automation
Content Type	Text
Resource Type	Article

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