A Framework for Ranking Quality of Information on Weblog
The vast amount of information on the World Wide
Web is created and published by many different types of providers.
Unlike books and journals, most of this information is not subject to
editing or peer review by experts. This lack of quality control and the
explosion of web sites make the task of finding quality information
on the web especially critical. Meanwhile new facilities for
producing web pages such as Blogs make this issue more significant
because Blogs have simple content management tools enabling nonexperts
to build easily updatable web diaries or online journals. On
the other hand despite a decade of active research in information
quality (IQ) there is no framework for measuring information quality
on the Blogs yet. This paper presents a novel experimental
framework for ranking quality of information on the Weblog. The
results of data analysis revealed seven IQ dimensions for the Weblog.
For each dimension, variables and related coefficients were
calculated so that presented framework is able to assess IQ of
Weblogs automatically.
[7] S.C. Herring, L.A. Scheidt, S. Bonus and E. Wright, Bridging the Gap:
A Genre Analysis of Weblogs, Proceedings of the 37th Annual Hawaii
International Conference on System Sciences (HICSS'04), IEEE
Computer Society 2004, pp. 101-104
[8] R. Ho Handbook of univariate and multivariate data analysis and
interpretation with SPSS. Chapman & Hall/CRC, Boca Raton, 2006.
[9] M. Jarke and Y. Vassiliou, Data warehouse quality design: A review of
the DWQ project, Proceeding of the International Conference on
Information Quality (IQ), Cambridge, MA, 1997.
[10] M. Jazayeri, Some Trends in Web Application Development, Future of
Software Engineering (FOSE '07), IEEE, 2007, pp. 199-213.
[11] M.J. Kargar, A.A. Ramli, H. Ibrahim and S.B. Noor. Assessing Quality
of Information on the Web Towards a Comprehensive Framework 14th
IEEE International conference on Internet Communication Technology
(ICT/MICC), IEEE, Malaysia, May 2007.
[12] M.J. Kargar, A.R. Ramli, H. Ibrahim and F. Azimzadeh, Formulating
Priority of Information Quality Criteria on the Blog, World Applied
Sceince Journal, Accepted for World Applied Science Journal (2008).
[13] P. Katerattanakul and K. Siau, Measuring information quality of web
sites: Development of an instrument, Proceedings of the 20th
international conference on Information Systems, Charlotte, North
Carolina, United States, 1999, pp. 279-285.
[14] S.a. Knight and J. Burn, Developing a Framework for Assessing
Information Quality on the World Wide Web, Informing Science
Journal, 8 (2005) 159-172.
[15] R. Kumar, J. Novak, P. Raghavan and A. Tomkins, On the bursty
evolution of blogspace, Proceedings of the 12th international
conference on World Wide Web, New York, NY,USA, ACM Press,
2003, pp. 568-576.
[16] Y.W. Lee, D.M. Strong, B.K. Kahn and R.Y. Wang, AIMQ: a
methodology for information quality assessment, Information &
Management, 40 (2002) 133-146.
[17] H.K.N. Leung, Quality metrics for intranet applications, Information &
Management, 38 (2001) 137-152.
[18] O.I. Lindland, G. Sindre and A. S¢lvberg., Understanding Quality in
Conceptual Modeling, IEEE Software, 3 (1994).
[19] C.D. Manning and H. Schutze, Foundations of Statistical Natural
Language Processing, MIT Press, Cambridge, MA (1999).
[20] G. Mishne and N. Glance. Leave a reply: An analysis of weblog
comments In Third annual workshop on the Weblogging ecosystem,
Edinburgh, Scotland, 2006.
[21] D.L. Moody, G. Sindre, T. Brasethvik and A. Solvberg. A (2003), ..
Evaluating the Quality of Information Models: Empirical Testing of a
Conceptual Model Quality Framework presented at 25th IEEE
International Conference on Software Engineering (ICSE'2003),
Portland, Oregon, 2003.
[22] F. Naumann and C. Rolker, Assessment methods for information quality
criteria, Proceedings of 5th International Conference on Information
Quality, 2000, pp. 148-162.
[23] I. Ohmukai, K. Numa and H. Takeda. Egocentric Search Method for
Authoring Support in Semantic Weblog Workshop on Knowledge
Markup and Semantic Annotation (Semannot2003), Held in conjunction
with the Second International Conference on Knowledge Capture (KCAP2003),
2003.
[24] S. Rainville-Pitt and J.-M. D-Amour, Using a CMS to create fully
accessible websites Proceedings of the 2007 international crossdisciplinary
conference on Web accessibility (W4A), Banff, Canada
ACM, 2007, pp. 130-131.
[25] M. Recker and J. Pitkow, Predicting document access in large
multimedia repositories, ACM Transactions on Computer-Human
Interaction (TOCHI), 3 (1996) 352-375.
[26] L. Ricigliano. Criteria for Evaluating Information on the Web, Collins
Memorial Library, 2006.
[27] G. Shanks and B. Corbitt, Understanding data quality: Social and
cultural aspects, Proceedings of the 10th Australasian Conference on
Information Systems, 1999.
[28] D. Sifry. The State of the Live Web, 2007.
[29] B. Stvilia, M. B. Twidale, L. Gasser and L. C. Smith Information quality
discussions in Wikipedia, Proceeding of the International Conference
on Knowledge Management (ICKM05), 2005, pp. 1--20.
[30] B. Stvilia, M.B. Twidale, L.C. Smith and L. Gasser, Assessing
information quality of a community-based encyclopedia, Proceedings of the International Conference on Information Quality (ICIQ), Cambridge,
MA, 2005, pp. 442-454.
[31] G. Tyburski. Criteria for Quality in Information, 2006.
[32] R.Y. Wang and D.M. Strong, Beyond accuracy: what data quality means
to data consumers, Journal of Management Information Systems, 12
(1996) 5-34.
[33] Wikipedia. Content Management System, 2008.
[34] Y. Zhang, H. Zhu and S. Greenwood, Empirical Validation of Website
Timeliness Measures, Proceedings of the 29th Annual International
Computer Software and Applications Conference (COMPSAC-05),
IEEE, 2005, pp. 313-318.
[35] Y. Zhang, H. Zhu, Q. Huo and S. Greenwood, Measurement of
Timeliness of Web-based Information Systems, Proceedings of the 6th
World Multi-Conference on Systemic, Cybernetics and Informatics (SCI
2002), 2002.
[36] X. Zhu and S. Gauch, Incorporating quality metrics in
centralized/distributed information retrieval on the World Wide Web,
Proceedings of the 23rd annual international ACM SIGIR conference on
Research and development in information retrieval, Athens, Greece,
ACM, 2000, pp. 288-295.
[37] X. Zhu, S. Gauch, L. Gerhard, N. Kral and A. Pretschner, Ontologybased
web site mapping for information exploration, Proceedings of the
eighth international conference on Information and knowledge
management ACM Press, 1999, pp. 188 - 194
[7] S.C. Herring, L.A. Scheidt, S. Bonus and E. Wright, Bridging the Gap:
A Genre Analysis of Weblogs, Proceedings of the 37th Annual Hawaii
International Conference on System Sciences (HICSS'04), IEEE
Computer Society 2004, pp. 101-104
[8] R. Ho Handbook of univariate and multivariate data analysis and
interpretation with SPSS. Chapman & Hall/CRC, Boca Raton, 2006.
[9] M. Jarke and Y. Vassiliou, Data warehouse quality design: A review of
the DWQ project, Proceeding of the International Conference on
Information Quality (IQ), Cambridge, MA, 1997.
[10] M. Jazayeri, Some Trends in Web Application Development, Future of
Software Engineering (FOSE '07), IEEE, 2007, pp. 199-213.
[11] M.J. Kargar, A.A. Ramli, H. Ibrahim and S.B. Noor. Assessing Quality
of Information on the Web Towards a Comprehensive Framework 14th
IEEE International conference on Internet Communication Technology
(ICT/MICC), IEEE, Malaysia, May 2007.
[12] M.J. Kargar, A.R. Ramli, H. Ibrahim and F. Azimzadeh, Formulating
Priority of Information Quality Criteria on the Blog, World Applied
Sceince Journal, Accepted for World Applied Science Journal (2008).
[13] P. Katerattanakul and K. Siau, Measuring information quality of web
sites: Development of an instrument, Proceedings of the 20th
international conference on Information Systems, Charlotte, North
Carolina, United States, 1999, pp. 279-285.
[14] S.a. Knight and J. Burn, Developing a Framework for Assessing
Information Quality on the World Wide Web, Informing Science
Journal, 8 (2005) 159-172.
[15] R. Kumar, J. Novak, P. Raghavan and A. Tomkins, On the bursty
evolution of blogspace, Proceedings of the 12th international
conference on World Wide Web, New York, NY,USA, ACM Press,
2003, pp. 568-576.
[16] Y.W. Lee, D.M. Strong, B.K. Kahn and R.Y. Wang, AIMQ: a
methodology for information quality assessment, Information &
Management, 40 (2002) 133-146.
[17] H.K.N. Leung, Quality metrics for intranet applications, Information &
Management, 38 (2001) 137-152.
[18] O.I. Lindland, G. Sindre and A. S¢lvberg., Understanding Quality in
Conceptual Modeling, IEEE Software, 3 (1994).
[19] C.D. Manning and H. Schutze, Foundations of Statistical Natural
Language Processing, MIT Press, Cambridge, MA (1999).
[20] G. Mishne and N. Glance. Leave a reply: An analysis of weblog
comments In Third annual workshop on the Weblogging ecosystem,
Edinburgh, Scotland, 2006.
[21] D.L. Moody, G. Sindre, T. Brasethvik and A. Solvberg. A (2003), ..
Evaluating the Quality of Information Models: Empirical Testing of a
Conceptual Model Quality Framework presented at 25th IEEE
International Conference on Software Engineering (ICSE'2003),
Portland, Oregon, 2003.
[22] F. Naumann and C. Rolker, Assessment methods for information quality
criteria, Proceedings of 5th International Conference on Information
Quality, 2000, pp. 148-162.
[23] I. Ohmukai, K. Numa and H. Takeda. Egocentric Search Method for
Authoring Support in Semantic Weblog Workshop on Knowledge
Markup and Semantic Annotation (Semannot2003), Held in conjunction
with the Second International Conference on Knowledge Capture (KCAP2003),
2003.
[24] S. Rainville-Pitt and J.-M. D-Amour, Using a CMS to create fully
accessible websites Proceedings of the 2007 international crossdisciplinary
conference on Web accessibility (W4A), Banff, Canada
ACM, 2007, pp. 130-131.
[25] M. Recker and J. Pitkow, Predicting document access in large
multimedia repositories, ACM Transactions on Computer-Human
Interaction (TOCHI), 3 (1996) 352-375.
[26] L. Ricigliano. Criteria for Evaluating Information on the Web, Collins
Memorial Library, 2006.
[27] G. Shanks and B. Corbitt, Understanding data quality: Social and
cultural aspects, Proceedings of the 10th Australasian Conference on
Information Systems, 1999.
[28] D. Sifry. The State of the Live Web, 2007.
[29] B. Stvilia, M. B. Twidale, L. Gasser and L. C. Smith Information quality
discussions in Wikipedia, Proceeding of the International Conference
on Knowledge Management (ICKM05), 2005, pp. 1--20.
[30] B. Stvilia, M.B. Twidale, L.C. Smith and L. Gasser, Assessing
information quality of a community-based encyclopedia, Proceedings of the International Conference on Information Quality (ICIQ), Cambridge,
MA, 2005, pp. 442-454.
[31] G. Tyburski. Criteria for Quality in Information, 2006.
[32] R.Y. Wang and D.M. Strong, Beyond accuracy: what data quality means
to data consumers, Journal of Management Information Systems, 12
(1996) 5-34.
[33] Wikipedia. Content Management System, 2008.
[34] Y. Zhang, H. Zhu and S. Greenwood, Empirical Validation of Website
Timeliness Measures, Proceedings of the 29th Annual International
Computer Software and Applications Conference (COMPSAC-05),
IEEE, 2005, pp. 313-318.
[35] Y. Zhang, H. Zhu, Q. Huo and S. Greenwood, Measurement of
Timeliness of Web-based Information Systems, Proceedings of the 6th
World Multi-Conference on Systemic, Cybernetics and Informatics (SCI
2002), 2002.
[36] X. Zhu and S. Gauch, Incorporating quality metrics in
centralized/distributed information retrieval on the World Wide Web,
Proceedings of the 23rd annual international ACM SIGIR conference on
Research and development in information retrieval, Athens, Greece,
ACM, 2000, pp. 288-295.
[37] X. Zhu, S. Gauch, L. Gerhard, N. Kral and A. Pretschner, Ontologybased
web site mapping for information exploration, Proceedings of the
eighth international conference on Information and knowledge
management ACM Press, 1999, pp. 188 - 194
@article{"International Journal of Information, Control and Computer Sciences:60665", author = "Mohammad Javad Kargar and Fatemeh Azimzadeh", title = "A Framework for Ranking Quality of Information on Weblog", abstract = "The vast amount of information on the World Wide
Web is created and published by many different types of providers.
Unlike books and journals, most of this information is not subject to
editing or peer review by experts. This lack of quality control and the
explosion of web sites make the task of finding quality information
on the web especially critical. Meanwhile new facilities for
producing web pages such as Blogs make this issue more significant
because Blogs have simple content management tools enabling nonexperts
to build easily updatable web diaries or online journals. On
the other hand despite a decade of active research in information
quality (IQ) there is no framework for measuring information quality
on the Blogs yet. This paper presents a novel experimental
framework for ranking quality of information on the Weblog. The
results of data analysis revealed seven IQ dimensions for the Weblog.
For each dimension, variables and related coefficients were
calculated so that presented framework is able to assess IQ of
Weblogs automatically.", keywords = "Information Quality, Weblog, Web Ranking, Web-
Quality.", volume = "3", number = "8", pages = "2089-6", }
