New PDF release: Quality-Driven Query Answering for Integrated Information

By Felix Naumann (eds.)

ISBN-10: 354043349X

ISBN-13: 9783540433491

The web and the area large net (WWW) have gotten progressively more vital in our hugely interconnected international as increasingly more facts and knowledge is made to be had for on-line entry. a lot of persons and governmental, advertisement, cultural, and clinical businesses more and more rely on info assets that may be accessed and queried over the net. for instance, getting access to flight schedules or retrieving inventory details has develop into universal perform in todays global. whilst gaining access to this information, many of us suppose that the data accessed is actual and that the information resource may be accessed reliably. those examples sincerely reveal that not just the data content material is necessary, the data in regards to the caliber of the information turns into an excellent extra an important and important element for people and agencies once they make plans or take judgements according to the result of their queries. extra accurately, getting access to info of recognized caliber turns into severe for the overall healthiness and certainly for the functioning of recent industrialized societies. strangely, regardless of the pressing want for transparent innovations and strategies to pass judgement on and price caliber and for know-how to exploit such (meta) info, only a few clinical effects are recognized and to be had. Few methods are identified to take advantage of caliber measures for having access to and querying info over the net. just a constrained variety of items at the IT industry handle this burning problem.

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Example text

If the amount of data in a source is large, assessment of the entire data set is impeded. In these cases, sampling techniques are necessary, decreasing the precision of the assessed scores [102]. 4. Information from autonomous sources is subject to sometimes drastic changes in content and quality. The most precise source for iq-scores could be the data sources themselves, if they were willing to accurately assess them. However, this iqmetadata is rarely available, especially if the source is in competition with other sources.

2. Information sources often do not publish useful (and possibly compromising) quality metadata. Many sources even take measures to hinder iq-assessment, and one must assume that data sources actively ﬁnd ways to improve the perceived information quality without improving the quality itself. 3. If the amount of data in a source is large, assessment of the entire data set is impeded. In these cases, sampling techniques are necessary, decreasing the precision of the assessed scores [102]. 4. Information from autonomous sources is subject to sometimes drastic changes in content and quality.

When querying a stock information service, for company proﬁles, amount is the length of the proﬁle in bytes. The importance of the amount criterion depends on the type of query. In a query for a stock quote of a certain company the amount of data returned is of no importance—it is simply a number. However, in a query for all data on a company including proﬁles, press releases etc, amount might be quite important. Synonyms: essentialness Representational conciseness is the degree to which the structure of the data matches the data itself.

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