NDLI: Linking corpus characteristics to performance of semantic annotation systems for biosystematic descriptions

Content Provider	IEEE Xplore Digital Library
Author	Hong Cui
Copyright Year	2010
Description	Author affiliation: School of Information Resources and Library Science, University of Arizona, Tucson USA (Hong Cui)
Abstract	Digitizing and repurposing taxonomic descriptions of living organisms is an urgent task facing biodiversity informatics researchers. Semantic annotation is the essential technology that makes taxonomic descriptions' reuse and repurpose possible. However, annotation systems performance often vary by collections. Given large content and structural variations inherent in different collections of taxonomic descriptions, this paper looks into corpus characteristic measures in an attempt to establish a performance prediction model which, when given a small set of samples, predicts a system's performance for a collection. The predication model helps deepen our understanding of strengths and weaknesses of an annotation system, but more importantly provides a valuable decision-making tool for end users. We started this research by using MARTT (Markuper for Taxonomic Treatments) system as a base. Although an universal performance predication model for all systems and all corpora may not be possible at this time, we hope more and more individual systems would offer such tools as a regular component in their delivery package.
Starting Page	92
Ending Page	96
File Size	205225
Page Count	5
File Format	PDF
ISBN	9781424467754
e-ISBN	9781424467754
DOI	10.1109/ICBBT.2010.5479002
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Real time systems Corpus characteristics Thigh Performance prediction Sensor systems Sun Wireless sensor networks Performance evauation Cardiovascular diseases Joining processes Biomedical monitoring Wearable sensors Semantic annotation systems
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

Implementation of a wearerable real-time system for physical activity recognition based on Naive Bayes classifier

Removal of Cd(II), Pb(II), Hg(II) and Zn(II) ions from wastewater using synthesized poly(p-bromoanaline)

Co-occurrence of core of binding sites for transcription factors in intronic region of Saccharomyces cerevisiae ribosomal protein genes

A neuronal fiber tracking study for major depressive disorder using MR diffusion tensor imaging with fiber tractography

Wireless system for monitoring and real-time classification of functional activity

Real-time tracking of flexion angle by using wearable accelerometer sensors

Low Cost Remote Effort Monitoring with Wearable Accelerometers

Novel Design for a Wearable, Rapidly Deployable, Wireless Noninvasive Triage Sensor

Wearable sensors for monitoring sports performance and training

Linking corpus characteristics to performance of semantic annotation systems for biosystematic descriptions

Similar Documents

Implementation of a wearerable real-time system for physical activity recognition based on Naive Bayes classifier

Removal of Cd(II), Pb(II), Hg(II) and Zn(II) ions from wastewater using synthesized poly(p-bromoanaline)

Co-occurrence of core of binding sites for transcription factors in intronic region of Saccharomyces cerevisiae ribosomal protein genes

A neuronal fiber tracking study for major depressive disorder using MR diffusion tensor imaging with fiber tractography

Wireless system for monitoring and real-time classification of functional activity

Real-time tracking of flexion angle by using wearable accelerometer sensors

Low Cost Remote Effort Monitoring with Wearable Accelerometers

Novel Design for a Wearable, Rapidly Deployable, Wireless Noninvasive Triage Sensor

Wearable sensors for monitoring sports performance and training

Linking corpus characteristics to performance of semantic annotation systems for biosystematic descriptions