PIKIPDL. A personalized information and knowledge integration platform for DL service
| Date | 31 August 2012 |
| Pages | 490-512 |
| Published date | 31 August 2012 |
| DOI | https://doi.org/10.1108/07378831211266627 |
| Author | Shu‐Chen Kao,ChienHsing Wu |
| Subject Matter | Information & knowledge management,Library & information science |
REGULAR PAPER
PIKIP
DL
A personalized information and knowledge
integration platform for DL service
Shu-Chen Kao
Department of Information Management, Kun Shan University, Yung Kung,
Tainan, Taiwan, and
ChienHsing Wu
Department of Information Management, National University of Kaohsiung,
Kaohsiung, Taiwan, ROC
Abstract
Purpose – The purpose of the paper is to conduct an exploratory study that proposes a personalized
knowledge integration platform for digital libraries which can provide users with personalized
information and knowledge services.
Design/methodology/approach – A prototype system (PIKIP
DL
) is designed and developed with
two types of service, i.e. personalized information/knowledge service and personalized subject
category service. Evaluation of the PIKIP
DL
by domain specialists and software experts is conducted.
Comments are implications are addressed.
Findings – The main findings include the following: the proposed system can help suggest materials
that readers are interested in for DL; the proposed system can help construct knowledge contents in a
hierarchical structure; and a common recommendation concerning knowledge structure from the
reviewers is that the proposed system should add a self-organizing knowledge map function that
would allow users to view knowledge subjects in a graphic manner.
Practical implications – The results from the evaluation of reviewers revealed that the proposed
PIKIP
DL
is acceptable to the integration of both personalized information service and personalized
knowledge subject service. This implies that librarians and DL software agents should place emphasis
on integrated service development to attract the attention of their users. Towards this goal, they could
explain that personalized services (e.g. material recommendation, message recommendation,
knowledge subject materials) with a mechanism of multi-resource integration can help provide DL
resources according to users’ needs and wants, and in consequence to enhance DL service efficacy.
Originality/value – The research describes the importance of information/knowledge integration
with respect to its support on the learning and study methods of users, and has developed a
personalized knowledge integration platform as a mechanism that provides a personalized
information service and a personalized knowledge subject category service. By employing Apriori
algorithm and association rul es as the data mining mechanism, per sonalized information
recommendations are derived from circulation data, and a knowledge subject category is integrated
from online sharing knowledge by participants.
Keywords Information services, Knowledge management, Library services,Digital libraries
Paper type Research paper
The current issue and full text archive of this journal is available at
www.emeraldinsight.com/0737-8831.htm
The research presented in this paper was partially funded by research grant
No. 099-N-290-KSU-M-009. The authors would also like to sincerely express their deepest
appreciation to the reviewers for their comments and suggestions regarding evaluation of the system.
LHT
30,3
490
Received September 2011
Revised October 2011
Accepted April 2012
Library Hi Tech
Vol. 30 No. 3, 2012
pp. 490-512
qEmerald Group Publishing Limited
0737-8831
DOI 10.1108/07378831211266627
1. Background
With the development of advanced information and communication technology (ICT), an
increasing number of digital resources have become available in the internet. Digital
Library (DL) has gradually been viewed as one of the most important digital information
and knowledge resources because it could easily represent a variety of digitalized
contents with text, image, video, and audio without considering time and location
limitations. DL was introduced to provide readers with information and knowledge
service at anytime from anywhere. Likewise, with the extension of network applications,
more and more information has been delivered and shared in the digital world. Therefore,
DL has become a convenient and successful solution for information service, replacing a
large part of services with the capability of information delivery via the internet. After
being proposed in 1990, the development of DL has received much attention and related
issues have been discussed, such as content availability, metadata standard, right
management, and personalized service (Schwartz, 2000; Fox et al., 2001; Liao et al., 2009).
Guzma
´nandNu
´n
˜ez-Esquer (1998) indicated that DL is not only a knowledge repository,
but also a platform for personal knowledge sharing and personal learning. Renda (2005)
argued that DL should be viewed as a collaborative environment for communities to
share, discuss, and learn things. Many DL projects have been carried out, such as NASA
(NASA, 2009), Open Book Project of Yale University (Open Book Project, 2009), and eLib
Project of UK (eLib, 2010). One of their common considerations is to provide library users
with electronic information service by using advanced ICT. In addition, many DL
application projects are also being proposed and conducted in Taiwan, such as Digital
Museum Project (Digital Museum Zoology NTU, 2009), Digital Book Reservation Project
(NationalDigital ArchivesPlan, 2009), and DigitalLibrary Project(Digital LibraryNCTU,
2009). Ultimately, the goal of these studies is to find a better solution for improving the
service quality of DL in terms of efficiency and effectiveness.
In support of the development of advanced DL, manyintelligent mechanisms applied
in DLs have been proposed which could help users retrieve information required in less
time (e.g. Chen, 2008; Hong et al., 2009; Jiang et al., 2009; Kovacevic et al., 2010). For
example, to support online users in conveniently browsing and searching news, a
hierarchical news map has been offered through an automatic generation system (Ong
et al., 2005). In particular, the map has gradually become one of the main applications
providing users with an integrated mechanism to efficiently gather different kinds of
knowledge content from different resources in DLs. Moreover, Sicilia et al. (2006) made
use of ontology as a paradigm to help learners integrate and share the knowledge
derived from the learning process. Song et al. (2007) suggested a document automatic
classification system with an intelligent agent. By using a mechanism of two-stage data
mining process, Chen and Chen (2007) proposed a recommendation system architecture
to promote digitallibrary services in electroniclibraries. A heuristic frameworkwas also
proposed by Bless et al. (2008),which can help users integrate knowledge responding to
the propertiesand resources of knowledge. Moreover,Heath et al. (2008) applied Web 2.0
and Semantic Web in developing a user-friendly interface to improve the efficiency of
knowledge integration. Gruber (2008)also proposed an integrated knowledgesystem in a
collaborative environment which can support group members both to collect and to
organize the knowledge with structural, semi-structural, or non-structural forms, and to
represent thecollective intelligence in a community group using thesocial web technique
as well. Kim and Chung (2008)introduced a personalized information services by using a
PIKIP
DL
491
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