NDLI: Semantic-driven design and management of KDD processes

Content Provider	IEEE Xplore Digital Library
Author	Storti, E.
Copyright Year	2010
Description	Author affiliation: Dipartimento di Ingegneria Informatica, Gestionale e dell'Automazione, Universita' Politecnica delle Marche via Brecce Bianche, 60131 Ancona, Italy (Storti, E.)
Abstract	The rapid growth of databases in last years asks organizations to deal with issues related to the management of large amounts of data, which represent a valuable resource for decision making processes. Although technologies for data management/storage are widely available, much effort is still needed to provide users with systems for effectively analyzing and understanding data. We use the term Knowledge Discovery in Databases (KDD) to refer to the non-trivial process of extracting interesting, valid and useful patterns from data. As a process, it often involves several steps, which may include: selection of a subset of data from the whole dataset, data cleaning and transformation, feature extraction, choice of the appropriate Data Mining technique for extracting patterns, its configuration and execution, evaluation and interpretation of results and deployment of new knowledge to users. Especially for non-experts, definition and management of a KDD process are themselves demanding activities, because they require user to know how to choose the proper tools among the plethora of available ones, how to setup them, how to interpret their output. In order to manage a KDD process, it is usually needed a team of different experts, each of which is able to configure only a part of the whole process. Such a team either can belong to the same organization or can be a geographically distributed virtual team of experts. Hence, integration of distributed users and tools, along with heterogeneity of these latter are issues to take into account in order to define effective solutions for the problem at hand. Real scenarios for KDD may include not only network organizations, for which distributed cooperative KDD projects may represent a significant added value, but also the support to e-Science processes (e.g. particle physics, earth sciences, and bioinformatics). In such a highly distributed environment, in fact, scientists need technologies for a collaborative analysis of data produced by scientific experimentations.
Starting Page	647
Ending Page	649
File Size	95031
Page Count	3
File Format	PDF
ISBN	9781424466191
e-ISBN	9781424466221
DOI	10.1109/CTS.2010.5478447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Decision making Geoscience Spatial databases Cleaning Data mining Collaborative Knowledge Discovery in Databases Technology management Knowledge Discovery Support System Virtual groups Semantic Technologies for KDD Feature extraction Resource management e-Science
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in