papers of possible interest to

[Eugene Garfield]

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Title:
Measuring the Value of Research Data: A Citation Analysis of Oceanographic Data Sets

Authors:
Belter, CW

Author Full Names:
Belter, Christopher W.

Source:
PLOS ONE, 9 (3):10.1371/journal.pone.0092590 MAR 26 2014

Language:
English

Document Type:
Article

KeyWords Plus:
TEMPERATURE PILOT PROJECT; SCIENTIFIC PRIMARY DATA; BIBLIOMETRIC INDICATORS; BIODIVERSITY DATA; IOC CONTRIBUTIONS; EARTH-SCIENCES; GOOGLE SCHOLAR; PUBLICATION; CONSEQUENCES; REGISTRATION

Abstract:
Evaluation of scientific research is becoming increasingly reliant on
publication-based bibliometric indicators, which may result in the
devaluation of other scientific activities - such as data curation -
that do not necessarily result in the production of scientific
publications. This issue may undermine the movement to openly share and
cite data sets in scientific publications because researchers are
unlikely to devote the effort necessary to curate their research data if
they are unlikely to receive credit for doing so. This analysis attempts
to demonstrate the bibliometric impact of properly curated and openly
accessible data sets by attempting to generate citation counts for three
data sets archived at the National Oceanographic Data Center. My
findings suggest that all three data sets are highly cited, with
estimated citation counts in most cases higher than 99% of all the
journal articles published in Oceanography during the same years. I also
find that methods of citing and referring to these data sets in
scientific publications are highly inconsistent, despite the fact that a
formal citation format is suggested for each data set. These findings
have important implications for developing a data citation format,
encouraging researchers to properly curate their research data, and
evaluating the bibliometric impact of individuals and institutions.

Addresses:
NOAA, LAC Grp, Cent Lib, Silver Spring, MD 20910 USA.

E-mail Addresses:
Chris.Belter at noaa.gov

Cited Reference Count:
75

Times Cited:
0

Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA

ISSN:
1932-6203

Article Number:
e92590

Web of Science Categories:
Multidisciplinary Sciences; MULTIDISCIPLINARY SCIENCES

Research Areas:
Science & Technology - Other Topics

IDS Number:
AE0SR

Unique ID:
WOS:000333677000054

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Title:
The impact of extreme observations in citation distributions

Authors:
Li, YR; Ruiz-Castillo, J

Author Full Names:
Li, Yunrong; Ruiz-Castillo, Javier

Source:
RESEARCH EVALUATION, 23 (2):174-182; 10.1093/reseval/rvu006 APR 2014

Language:
English

Document Type:
Article

Author Keywords:
citation inequality, outliers, citation indicators, confidence intervals

KeyWords Plus:
SUB-FIELD NORMALIZATION; INEQUALITY MEASURES; INDICATORS; SCIENCE; SCORES; SCALES

Abstract:
This article studies the role of extremely highly *cited articles* in
two instances: the measurement of citation inequality and mean citation
rates. Using a data set, acquired from Thomson Scientific, consisting of
4.4 million articles published in 1998-2003 in 22 broad fields with a
5-year citation window, the main results are the following. First, both
within each of 22 broad fields and in the all-sciences case, citation
inequality is strongly affected by the presence of a handful of extreme
observations, particularly when it is measured by citation inequality
indices that are very sensitive to citation differences in the upper
tail of citation distributions. Second, the impact of extreme
observations on citation averages is generally much smaller. The
concluding section includes some practical lessons for students of
citation inequality and/or users of high-impact indicators.

Addresses:
[Li, Yunrong; Ruiz-Castillo, Javier] Univ Carlos III Madrid, Dept Econ, Madrid 28903, Spain.

E-mail Addresses:
jrc at eco.uc3m.es

Cited Reference Count:
30

Times Cited:
0

Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

ISSN:
0958-2029

Web of Science Categories:
Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE

Research Areas:
Information Science & Library Science

IDS Number:
AF4KY

Unique ID:
WOS:000334682100007

Cited References:
Albarran Pedro, 2011, RESEARCH EVALUATION, V20, P325
Herranz Neus, 2013, SCIENTOMETRICS, V95, P453
SHORROCKS AF, 1984, ECONOMETRICA, V52, P1369
BOURGUIGNON F, 1979, ECONOMETRICA, V47, P901
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Abatemarco Antonio, 2013, SCIENTOMETRICS, V94, P263
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Crespo Juan A., 2013, PLOS ONE, V8,
Li Yunrong, 2013, JOURNAL OF INFORMETRICS, V7, P746
Radicchi Filippo, 2012, PLOS ONE, V7,
SHORROCKS AF, 1980, ECONOMETRICA, V48, P613
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Title:
How are excellent (highly *cited*) papers defined in bibliometrics? A quantitative analysis of the literature

Authors:
Bornmann, L

Author Full Names:
Bornmann, Lutz

Source:
RESEARCH EVALUATION, 23 (2):166-173; 10.1093/reseval/rvu002 APR 2014

Language:
English

Document Type:
Article

Author Keywords:
excellent papers, highly cited papers, top cited papers, most frequently cited papers

KeyWords Plus:
CITATION IMPACT; DISTRIBUTIONS; ASSESSMENTS; INDICATORS

Abstract:
As the subject of research excellence has received increasing attention
(in science policy) over the past few decades, increasing numbers of
bibliometric studies have been published dealing with excellent papers.
However, many different methods have been used in these studies to
identify excellent papers. The present quantitative analysis of the
literature has been carried out to acquire an overview of these methods
and an indication of an 'average' or 'most frequent' bibliometric
practice. The search in the Web of Science yielded 321 papers dealing
with 'highly cited', 'most cited', 'top cited', and 'most frequently
cited'. Of the 321 papers, 16 could not be used in this study. In around
80% of the papers analyzed in this study, a quantitative definition has
been provided to identify excellent papers. With definitions that relate
to an absolute number, either a certain number of top cited papers (58%)
or papers with a minimum number of citations are selected (17%).
Approximately 23% worked with percentile rank classes. Over these
papers, there is an arithmetic average of the top 7.6% (arithmetic
average) or of the top 3% (median). The top 1% is used most frequently
in the papers, followed by the top 10%. With the thresholds presented in
this study, in future, it will be possible to identify excellent papers
based on an 'average' or 'most frequent' practice among
bibliometricians.

Addresses:
Max Planck Gesell, Div Sci & Innovat Studies, D-80539 Munich, Germany.

E-mail Addresses:
bornmann at gv.mpg.de

Cited Reference Count:
30

Times Cited:
0

Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

ISSN:
0958-2029

Web of Science Categories:
Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE

Research Areas:
Information Science & Library Science

IDS Number:
AF4KY

Unique ID:
WOS:000334682100006

Cited References:
Albarran Pedro, 2011, RESEARCH EVALUATION, V20, P325
Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P933
van Leeuwen TN, 2003, SCIENTOMETRICS7th International Conference on Science and Technology Indicatiors, SEP 25-28, 2002, KARLSRUHE, GERMANY, V57, P257
Agresti A., 2002, Categorical data analysis,
Kostoff Ronald N., 2008, SCIENTOMETRICS, V76, P43
Cramer H., 1980, Mathematical Methods of Statistics,
Lamont Michele, 2012, ANNUAL REVIEW OF SOCIOLOGY, VOL 38, V38, P201
Bornmann Lutz, 2014, ONLINE INFORMATION REVIEW, V38, P43
GLANZEL W, 1992, SCIENTOMETRICS, V25, P373
Adams J., 2013, Building Bricks. Exploring the Global Research and Innovation Impact of Brazil, Russia, India, China and South Korea,
Wang Jian, 2013, SCIENTOMETRICS, V94, P851
Levitt Jonathan M., 2010, SCIENTOMETRICS, V85, P171
Conroy R. M., 2002, The Stata Journal, V2, P290
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2419
Bornmann Lutz, 2012, JOURNAL OF INFORMETRICS, V6, P333
Jann B, 2005, STATA JOURNAL, V5, P92
Small H, 2004, SCIENTOMETRICS9th International Conference on Scientometrics and Informatics, AUG, 2003, Beijing, PEOPLES R CHINA, V60, P305
Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1370
Kline R. B., 2004, Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research,
Kosmulski Marek, 2013, JOURNAL OF INFORMETRICS, V7, P313
Bornmann Lutz, 2013, EMBO REPORTS, V14, P226
Glaenzel Wolfgang, 2007, JOURNAL OF INFORMETRICS, V1, P92
Bornmann Lutz, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P587
Bornmann Lutz, 2010, PLOS ONE, V5,
Vinkler Peter, 2012, JOURNAL OF INFORMETRICS, V6, P254
Bar-Ilan Judit, 2008, JOURNAL OF INFORMETRICS, V2, P1
Zhu X, 2004, SCIENTOMETRICS, V60, P237
Danell Rickard, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P50
Aksnes DW, 2003, RESEARCH EVALUATION, V12, P159
Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P286

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Title:
*Scientometric* portrait of biochemist Santiago Grisolia: publication productivity, collaboration patterns, and citation analysis

Authors:
Gonzalez-Alcaide, G

Author Full Names:
Gonzalez-Alcaide, Gregorio

Source:
RESEARCH EVALUATION, 23 (2):150-165; 10.1093/reseval/rvu003 APR 2014

Language:
English

Document Type:
Article

Author Keywords:
scientometrics, Santiago Grisolia, biography, publication productivity, collaboration patterns, publication impact

KeyWords Plus:
AUTHORSHIP

Abstract:
Santiago Grisolia made numerous scientific discoveries and contributions
of great relevance to the advancement of biochemistry and molecular
biology, particularly in the field of enzymology in the metabolism of
nitrogen related to the urea cycle and the impoverishment of
pyrimidines. This article analyses, by means of bibliometrics indicators
and social network analysis, his professional career, comparing the
results obtained with the patterns of scientific activity of other
distinguished researchers. The main findings of the study carried out
are as follows: the evolution of his scientific productivity shows an
initial period in which the growth is slow or moderate, followed by a
fast exponential growth phase with a high level of productivity
sustained over a long period (from 33 to 72 years old); a wide spectrum
of collaborators increased progressively over time; and notable citation
levels with a sustained number of citations received, despite a
reduction in his scientific productivity over recent years. Some
phenomena common to the professional trajectory of other relevant
scientific figures have been observed, such as the early start to
scientific publication; intervention in different areas of knowledge;
frequent publication in multidisciplinary journals as well as in
journals specialized in his area of knowledge; the presence, in a
majority of cases, in the first or last position in the order of
authorships; as well as the high levels of collaboration and citation of
a great many of his papers. These patterns may be followed by young
scientists or newcomers to achieve scientific excellence.

Addresses:
Univ Valencia, Dept Hist Sci & Documentat, Valencia 46010, Spain.

E-mail Addresses:
gregorio.gonzalez at uv.es

Cited Reference Count:
17

Times Cited:
0

Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

ISSN:
0958-2029

Web of Science Categories:
Information Science & Library Science; INFORMATION SCIENCE & LIBRARY SCIENCE

Research Areas:
Information Science & Library Science

IDS Number:
AF4KY

Unique ID:
WOS:000334682100005

Cited References:
Aupi V., 1998, Santiago Grisolia. Apuntes para la historia biologica del hombre,
Lopez Pinero J. M., 2008, Santiago Grisolia: recuerdos,
Sangam S.L., 2006, SRELS Journal of Information Management, V43,
Kademani BS, 1999, SCIENTOMETRICS, V45, P233
Varaprasad S. J. D., 2010, MALAYSIAN JOURNAL OF LIBRARY & INFORMATION SCIENCE, V15, P41
Kademani B. S., 2011, Annals of Library and Information Studies, V58, P71
Sangam SL, 2006, SCIENTOMETRICS8th International Conference on Science and Technology Indicators, SEP 23-25, 2004, Leiden, NETHERLANDS, V66, P43
Koganuramath M.M., 2004, Malaysian Journal of Library & Information Science, V9,
KALYANE VL, 1995, SCIENTOMETRICS, V33, P233
Sobey A. J., 2013, RESEARCH EVALUATION, V22, P169
Haslam Nick, 2009, RESEARCH EVALUATION, V18, P405
Batagelj V., 2003, Proceedings of the 9th International Symposium on Graph Drawing, V2265, P77
Sangam S. L., 2007, SCIENTOMETRICS, V71, P217
Kademani BS, 2005, SCIENTOMETRICS, V62, P261
Rons Nadine, 2009, RESEARCH EVALUATION, V18, P233
Kalyane V. L., 1996, Malaysian Journal of Library and Information Science, V1, P13
Kademani B.S., 2001, Malaysian Journal of Library & Information Science, V6,

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Title:
Nutrition & Metabolism Classics: a disconnect between highly *cited* and highly accessed articles

Authors:
Hussain, MM; Abel, L; Bakillah, A

Author Full Names:
Hussain, M. Mahmood; Abel, Lucy; Bakillah, Ahmed

Source:
NUTRITION & METABOLISM, 11 10.1186/1743-7075-11-13 MAR 19 2014

Language:
English

Document Type:
Editorial Material

Abstract:
Nutrition & Metabolism has grown considerably in the ten years since its
first article was published. To see how papers published in the journal
had an impact we have identified some of the most popular articles in
order to measure their influence, observe which fields are important to
our readers, and try to explain what made these articles Nutrition &
Metabolism "Classics".

Addresses:
[Hussain, M. Mahmood; Bakillah, Ahmed] Suny Downstate Med Ctr, Dept Cell Biol, Brooklyn, NY 11203 USA.
[Abel, Lucy] BioMed Cent, London WC1X 8HB, England.

E-mail Addresses:
lucy.abel at biomedcentral.com

Cited Reference Count:
0

Times Cited:
0

Publisher:
BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND

ISSN:
1743-7075

Article Number:
13

Web of Science Categories:
Nutrition & Dietetics; NUTRITION & DIETETICS

Research Areas:
Nutrition & Dietetics

IDS Number:
AF8DX

Unique ID:
WOS:000334946800001

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Title:
Citation analysis of the scientific publications of Britton Chance in ISI citation indexes

Authors:
Li, LZ; Leydesdorff, L; Nioka, S; Sun, NN; Garfield, E

Author Full Names:
Li, Lin Z.; Leydesdorff, Loet; Nioka, Shoko; Sun, Nannan; Garfield,
Eugene

Source:
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 7 (2):SI 10.1142/S1793545814300031 MAR 2014

Language:
English

Document Type:
Article

Author Keywords:
Scientometric analysis, impact, HistCite, citation tree, metabolism, mitochondria

KeyWords Plus:
METABOLIC CONTROL MECHANISMS; PHOTON-DENSITY WAVES; ASCITES TUMOR CELLS; X-RAY ABSORPTION; REDUCED PYRIDINE NUCLEOTIDE; OXIDATION-REDUCTION STATES; CYTOCHROME-C OXIDASE; RESPIRATORY ENZYMES; OPTICAL SPECTROSCOPY; MAGNETIC-RESONANCE

Abstract:
Britton Chance was a pioneer in many scientific fields such as enzymatic
reaction kinetics, bioenergetics, metabolism, in vivo NMR, and
biophotonics. As an engineer, physical chemist, physicist, physiologist,
biophysicist, biochemist, innovator and educator, he had worked in
diversified fields over extended periods between 1926 until his death in
2010, at the age of 97. In order to illustrate his scientific career and
great impact on research from a new perspective, we employ
*scientometric* analysis tools to analyze the publications of Britton
Chance with data downloaded from the ISI Citation Indexes in April 2013.
We included articles, reviews and proceeding papers but excluded meeting
abstracts. In total, we obtained 1023 publication records with 1236
authors in 266 journals with 17,114 citations from 1945 to 2013. We show
the annual publications and citations that Britton Chance received from
1945 to 2013, and generate HistCite maps on the basis of the global
citations (GCS) and local (self) citations (LCS) to show the citation
relationships among the top-30 publications of Britton Chance.
Metabolism and the development of physical methods to probe it appear to
be the connecting thread of the lifelong research of Britton Chance.
Furthermore, we generate the journal map and co-authorship map to show
the broad scope of research topics and collaborators and the high
impacts of the scientific oeuvre of Britton Chance ranging from physics,
engineering, chemistry and biology to medicine.

Addresses:
[Li, Lin Z.; Sun, Nannan] Univ Penn, Dept Radiol, Perelman Sch Med, Philadelphia, PA 19104 USA.
[Li, Lin Z.; Nioka, Shoko; Sun, Nannan] Univ Penn, Britton Chance Lab Redox Imaging, Johnson Res Fdn, Dept Biochem & Biophys,Perelman Sch Med, Philadelphia, PA 19104 USA.
[Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 WX Amsterdam, Netherlands.
[Sun, Nannan] Huazhong Univ Sci & Technol, Britton Chance Ctr Biomed Photon, Wuhan Natl Lab Optoelect, Wuhan 430074, Peoples R China.
[Garfield, Eugene] Thomson Reuters, Inst Sci Informat, Philadelphia, PA 19130 USA.

E-mail Addresses:
linli at mail.med.upenn.edu

Cited Reference Count:
81

Times Cited:
0

Publisher:
WORLD SCIENTIFIC PUBL CO PTE LTD, 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

ISSN:
1793-5458

Article Number:
1430003

Web of Science Categories:
Optics; Radiology, Nuclear Medicine & Medical Imaging; OPTICS; RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Research Areas:
Optics; Radiology, Nuclear Medicine & Medical Imaging

IDS Number:
AF3HW

Unique ID:
WOS:000334603700014

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*Order Full Text [ ]

Title:
Global collaborative networks on meta-analyses of randomized trials published in high impact factor medical *journals*: a social network analysis

Authors:
Catala-Lopez, F; Alonso-Arroyo, A; Hutton, B; Aleixandre-Benavent, R;
Moher, D

Author Full Names:
Catala-Lopez, Ferran; Alonso-Arroyo, Adolfo; Hutton, Brian;
Aleixandre-Benavent, Rafael; Moher, David

Source:
BMC MEDICINE, 12 10.1186/1741-7015-12-15 JAN 29 2014

Language:
English

Document Type:
Article

Author Keywords:
Authorship, Evidence-based medicine, Meta-analysis, Randomized controlled trial, Scientific collaboration, Social network analysis

KeyWords Plus:
EARLY BREAST-CANCER; COAUTHORSHIP NETWORKS; SCIENCE; PATTERNS; DISEASE; BURDEN

Abstract:
Background: Research collaboration contributes to the advancement of
knowledge by exploiting the results of scientific efforts more
efficiently, but the global patterns of collaboration on meta-analysis
are unknown. The purpose of this research was to describe and
characterize the global collaborative patterns in meta-analyses of
randomized trials published in high impact factor medical journals over
the past three decades.
Methods: This was a cross-sectional, social network analysis. We
searched PubMed for relevant meta-analyses of randomized trials
published up to December 2012. We selected meta-analyses (including at
least randomized trials as primary evidence source) published in the top
seven high impact factor general medical journals (according to Journal
Citation Reports 2011): The New England Journal of Medicine, The Lancet,
the BMJ, JAMA, Annals of Internal Medicine, Archives of Internal
Medicine (now renamed JAMA Internal Medicine), and PLoS Medicine.
Opinion articles, conceptual papers, narrative reviews, reviews without
meta-analysis, reviews of reviews, and other study designs were
excluded.
Results: Overall, we included 736 meta-analyses, in which 3,178 authors,
891 institutions, and 51 countries participated. The BMJ was the journal
that published the greatest number of articles (39%), followed by The
Lancet (18%), JAMA (15%) and the Archives of Internal Medicine (15%).
The USA, the UK, and Canada headed the absolute global productivity
ranking in number of papers. The 64 authors and the 39 institutions with
the highest publication rates were identified. We also found 82 clusters
of authors (one group with 55 members and one group with 54 members) and
19 clusters of institutions (one major group with 76 members). The most
prolific authors were mainly affiliated with the University of Oxford
(UK), McMaster University (Canada), and the University of Bern
(Switzerland).
Conclusions: Our analysis identified networks of authors, institutions
and countries publishing meta-analyses of randomized trials in high
impact medical journals. This valuable information may be used to
strengthen scientific capacity for collaboration and to help to promote
a global agenda for future research of excellence.

Addresses:
[Catala-Lopez, Ferran] Spanish Med & Healthcare Prod Agcy AEMPS, Div Pharmacoepidemiol & Pharmacovigilance, Madrid, Spain.
[Catala-Lopez, Ferran] Fdn Inst Invest Serv Salud, Valencia, Spain.
[Alonso-Arroyo, Adolfo; Aleixandre-Benavent, Rafael] CSIC, Spanish Natl Res Council, Lopez Pinero Inst Hist Med & Sci IHMC, Valencia, Spain.
[Alonso-Arroyo, Adolfo; Aleixandre-Benavent, Rafael] Univ Valencia, Valencia, Spain.
[Alonso-Arroyo, Adolfo] Univ Valencia, Dept Hist Sci & Documentat, Valencia, Spain.
[Hutton, Brian; Moher, David] Ottawa Hosp Res Inst, Clin Epidemiol Program, Ottawa, ON, Canada.

E-mail Addresses:
ferran_catala at hotmail.com

Funding Acknowledgement:
University Research Chair, University of Ottawa; Canadian Institutes of Health Research DSEN (Drug Safety and Effectiveness Network) New Investigator

Funding Text:
This study received no specific funding. DM is funded by a University Research Chair, University of Ottawa; and BH is a Canadian Institutes of Health Research DSEN (Drug Safety and Effectiveness Network) New Investigator.

Cited Reference Count:
42

Times Cited:
0

Publisher:
BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND

ISSN:
1741-7015

Article Number:
15

Web of Science Categories:
Medicine, General & Internal; MEDICINE, GENERAL & INTERNAL

Research Areas:
General & Internal Medicine

IDS Number:
AF4PM

Unique ID:
WOS:000334696100001

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*Order Full Text [ ]

Title:
Constructing an information science resource ontology based on the Chinese Social *Science Citation Index*

Authors:
Qiu, JP; Lou, W

Author Full Names:
Qiu, Junping; Lou, Wen

Source:
ASLIB JOURNAL OF INFORMATION MANAGEMENT, 66 (2):202-218; 10.1108/AJIM-10-2013-0114 2014

Language:
English

Document Type:
Article

Author Keywords:
Information science, Chinese Social Science Citation Index, Ontology construction, Resource ontology, Semantic similarity

KeyWords Plus:
SIMILARITY

Abstract:
Purpose - The purpose of this study is to construct a Chinese
information science resource ontology and to explore a new method for
semiautomatic ontology construction.
Design/methodology/approach - More than 8,290 articles indexed in the
Chinese Social Science Citation Index (CSSCI), covering the years 2001
to 2010, were included in this study. Statistical analysis,
co-occurrence analysis, and semantic similarity methods were applied to
the selected articles. The ontology was built using existing
construction principles and methods, as well as categories and hierarchy
definitions based on CSSCI indexing fields.
Findings - Seven categories were found to be relevant for the Chinese
information science resource ontology, which, in this study, consists of
a three-tier architecture, 78,291 instances, and 182,109 pairs of
semantic relations. These results indicate the following: further
improvements are required in ontology construction methods; resource
ontology is a breakthrough concept in ontology studies; the combination
of semantic similarities and co-occurrence analysis can quantitatively
describe relationships between concepts.
Originality/value - This study pioneers the resource ontology concept.
It is one of the first to combine informetric methods with semantic
similarity to reveal deep relationships in textual data.

Addresses:
[Qiu, Junping] Wuhan Univ, Res Ctr Sci Evaluat, Wuhan 430072, Peoples R China.
[Lou, Wen] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.

E-mail Addresses:
hotwen_l at sina.com

Funding Acknowledgement:
national social science foundation of China [11ZD152]; Wuhan University [2012GSP032]; Fundamental Research Funds for the Central Universities "Semantic information retrieval based on resource ontology" [2013104010201]

Funding Text:
This paper was supported by a major program of the national social science foundation of China, "Semantic-based deep integration and visualisation of library resources" (11&ZD152), the High-level International Journal Program of Wuhan University (2012GSP032), and the Fundamental Research Funds for the Central Universities "Semantic information retrieval based on resource ontology" (2013104010201). The authors would like to thank Yu Fan, Li Yue and Li Mengru for their helpful suggestions for improving this manuscript

Cited Reference Count:
46

Times Cited:
0

Publisher:
EMERALD GROUP PUBLISHING LIMITED, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

ISSN:
2050-3806

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
AF8OU

Unique ID:
WOS:000334976300005

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