NDLI: Interleaving Reasoning and Selection with Knowledge Summarization

Content Provider	IEEE Xplore Digital Library
Author	Yan Wang Zhisheng Huang Yi Zeng Ning Zhong van Harmelen, F.
Copyright Year	2011
Abstract	When the physical space and the cyber space are linked by human, Cyber-Physical Society (CPS) has emerged and produced many challenges. Among which, the challenge of fast growing data and knowledge both from the physical space and the cyber space has become a crucial issue. Scalability becomes a big barrier in data processing (more specifically, search and reasoning). Traditional knowledge processing methods aim at providing users complete results in rational time, which is not applicable when it comes to very large-scale data. While in the context of Web and large-scale data, users' expectations are not always receiving complete results, instead, they may prefer to get some incomplete subset of the results compared to waiting for a long time. With this spirit, an approach named Interleaving Reasoning and Selection with Knowledge Summarization (IRSKS) is developed. This approach supports incomplete reasoning and heuristic search based on knowledge summarization. It can be divided into two phases: the off-line and the on-line processing. The off-line processing includes partitioning and summarization, and provides the basis for heuristic search. Partitioning makes one large-scale dataset become many small subsets (chunks). Summarization produces summaries that contain heuristic information (such as the location and major topics of each chunk) to build a bridge between the searching target and the partitioned large-scale dataset. Through the cues provided by summaries, a best search path can be found to locate the searching target. Along with the search path, the on-line processing includes interleaving reasoning and selection, which compose a dynamic searching process and support anytime behavior. In this way, the search space is greatly reduced and close to the searching target so that a good trade-off is achieved between the time and the quality of a query. Based on this approach, a prototype system named Knowledge Intensive Summarization System (KISS) has been developed and the evaluation with the KISS system on the PubMed dataset indicates that the proposed method is potentially effective for processing large-scale semantic data in the Cyber-Physical Society.
Starting Page	122
Ending Page	129
File Size	238881
Page Count	8
File Format	PDF
ISBN	9781457713231
DOI	10.1109/SKG.2011.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scalability Semantics Loading Humans Cognition Resource description framework
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
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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

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