By Piotr Kołaczkowski, Henryk Rybiński (auth.), Zbigniew W. Ras, Agnieszka Dardzinska (eds.)
Data administration is the method of making plans, coordinating and controlling
data assets. extra frequently, purposes have to shop and seek a wide
amount of knowledge. dealing with facts has been regularly challenged
by calls for from a number of parts and purposes and has advanced in parallel
with advances in and computing options.
This quantity makes a speciality of its fresh advances and it truly is composed of 5 parts
and a complete of eighteen chapters. the 1st a part of the e-book comprises 5
contributions within the region of data retrieval & net intelligence: a unique
approach to fixing index choice challenge, built-in retrieval from internet of
documents and information, bipolarity in database querying, deriving information summarization
through ontologies, and granular computing for internet intelligence.
The moment a part of the booklet comprises 4 contributions in wisdom discovery quarter.
Its 3rd half comprises 3 contributions in info integration & info
security region. the rest elements of the booklet comprise six contributions
in the realm of clever brokers and purposes of knowledge administration
in clinical domain.
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Extra info for Advances in Data Management
The system has DR components (triple matching) which render the precision and recall criteria irrelevant. But at the same time, the system also has IR components such as keyword based retrieval of documents in which case precision and recall become important. Furthermore, there are no suitable benchmarks that has documents, their semantic descriptions, some queries, and results of those queries (adjudged to be relevant by human experts). Here, we present results obtained by experimenting with the realworld AIFB SEAL  data that exercises some of the issues being addressed.
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So, we seem to be better off retrieving data from the SW using DR techniques and retrieving documents from the HW using keyword-based IR techniques. In this sense, when seen from (data or document) retrieval perspective, the Semantic Web is, conceptually, a web of data that is estranged from the web of documents that is the Hypertext Web. Note that, some technologies such as RDFa [3,25] are trying to change this. But unless we find a Integrated Retrieval from Web of Documents and Data 27 way to (automatically) create semantic descriptions of all of the existing HW documents, there will always be a large corpus of documents isolated from the SW.