Information Technology Reference
In-Depth Information
are implemented by using ESB, which support
different transportation protocols. The applica-
tions can invoke these services directly. Among
these clouds, TAGSYS supports the involvement
of users so that it can help the users find required
digital resources. We also provide an assistant tool
to help users set up a new Institutional Repository.
Based on the description of one kind of digital
resource, a basic Institution Repository can be
created fast and easily. We use the Digital Library
on the History of Water Conservancy in China
of Tsinghua University Library as an example to
demonstrate the feasibility of our approach.
However, there are also many works to be done
to enrich the functions and improve the perfor-
mance of our clouds. The first job we need to do
is the version control and provenance management
of digital resources. The second is to improve the
Template tool: we plan to develop Web interface
for the creation of an Institutional Repository for
multiple kinds of digital resources, and we also
plan to provide a SaaS way that allows Web us-
ers to manage their own digital resources more
conveniently. We believe that the digital resource
management systems built on Cloud Services
will become the next generation Institutional
Repositories.
DuraSpace Organization. (2009). DuraCloud
overview 2009 .
Hunter, J., Khan, I., & Gerber, A. (2008). Harvana:
Harvesting community tags to enrich collection
metadata . Joint Conference on Digital Libraries
2008, (pp. 147-156).
Johnson, R. K. (2002, November). Institutional
repositories: Partnering with faculty to enhance
scholarly communication. D-Lib Magazine , 8 (11).
Lagoze, C., Payette, S., Shin, E., & Wilper, C.
(2006). Fedora: An architecture for complex ob-
jects and their relationships. International Journal
on Digital Libraries , 6 (2), 124-138. doi:10.1007/
s00799-005-0130-3
Markines, B., Cattuto, C., Menczer, F., Benz,
D., Hotho, A., & Stumme, G. (2009). Evaluat-
ing similarity measures for emergent seman-
tics of social tagging. WWW , 2009 , 641-650.
doi:10.1145/1526709.1526796
Marlow, C., Naaman, M., Boyd, D., & Davis,
M. (2006). HT06, tagging paper, taxonomy,
Flickr, academic article, ToRead. Proceedings
of the Seventeenth Conference on Hypertext and
Hypermedia , 2006, (pp. 31-40).
SCA. (2009). Specification , final version 1.0.
Retrieved from http://www.osoa.org/display/
Main/Service+Component+Architecture+Spec
ifications
REFERENCES
Aurnhammer, M., Hanappe, P., & Steels, L. (2006).
Integrating collaborative tagging and emergent
semantics for image retrieval . WWW Collabora-
tive Web Tagging Workshop, 2006.
Sen, S., Vig, J., & Riedl, J. (2009). Tagommenders:
Connecting users to items through tags. WWW ,
2009 , 671-680. doi:10.1145/1526709.1526800
Smith, M. (2002). DSpace: An institutional reposi-
tory from the MIT libraries and Hewlett Packard
laboratories. ECDL , 2002 , 213-226.
Benslimane, D., Dustdar, S., & Sheth, A. P. (2008).
Services mashups: The new generation of Web
applications. IEEE Internet Computing , 12 (5),
13-15. doi:10.1109/MIC.2008.110
Song, Y., Zhuang, Z. M., Li, H. J., Zhao, Q. K.,
Li, J., Lee, W., & Giles, C. L. (2008). Real-time
automatic tag recommendation. SIGIR , 2008 ,
515-522. doi:10.1145/1390334.1390423
Chirita, P., Costache, S., Handschuh, S., & Nejdl,
W. (2007). PTAG: Large scale automatic genera-
tion of personalized annotation TAGs for the Web .
WWW 2007.
Search WWH ::




Custom Search