Information Modelling for Adaptive Composition in Collaborative Work Environment
Extensive information is required within a R&D environment,
and a considerable amount of time and efforts are being
spent on finding the necessary information. An adaptive information
providing system would be beneficial to the environment, and a
conceptual model of the resources, people and context is mandatory
for developing such applications. In this paper, an information model
on various contexts and resources is proposed which provides the
possibility of effective applications for use in adaptive information
systems within a R&D project and meeting environment.
[1] T. Mitchell, Machine Learning. McGraw Hill, 1997.
[2] M. Balabanovic and Y. Shoham, "Fab: Content-based collaborative recommendation,"
Communications of the ACM, vol.40(3), pp. 88-89, 1997.
[3] S. Gauch, J. Chaffee, and A. Pretschner, "Ontology-based personalized
search and browsing," Web Intelligence and Agent System, vol.1(3-4), pp.
219-234, March 2003.
[4] P. Brusilovsky, "Adaptive hypermedia," User Modeling and User-Adapted
Interaction, vol.11, Springer Netherlands, pp. 87-110, 2001.
[5] S. Iksal and S. Garlatti, "Adaptive Web Information Systems: architecture
and methodology for reusing content," in 2004 Proc. 1st International
Workshop on Engineering the Adaptive Web, Eindhoven, The Netherlands.
[6] ISO 11179 Parts 1-6, Specification and Standardization of Data Elements
from the ISO/IEC 11179, 2nd ed. 2004.
[7] IEEE 1484.12.1, Standard for Learning Object Metadata, 2002.
[8] IMS: Standard for Learning Objects, 2002. http://www.imsglobal.org/.
[9] Sharable Content Object Reference Model(SCORM) ver. 1.3, 2004.
[10] N. Friesen, A. Roberts, and S. Fisher, "CanCore: Metadata for learning
objects," Canadian Journal of Learning and Technology, Vol. 28(3), 2002.
[11] UK Learning Object Metadata Core v 0.2, 2004.
http://www.cetis.ac.uk/profiles/uklomcore
[12] Facilitating Access to Information on Learning Technology for Engineers
(FAILTE), http://www.failte.ac.uk/
[13] J. Hillman, University for Industry: Creating a National Learning
Network, Institute for Public Policy Research, London, 1996
[14] Dublin Core Metadata Initiative(DCMI), http://dublincore.org/
[15] P. Resnick, H. R. Varianm "Recommender systems," Communications
of the ACM, vol.40(3), pp. 56-58, ACM Press, 1997.
[16] R. D. Burke, "Hybrid recommender systems: survey and experiments,"
User Modeling and User-Adapted Interaction, vol.12, pp. 331-370,
Springer, 2002.
[17] N. J. Belkin, "User modeling in information retrieval," in 1997 Proc.
Sixth International Conference on User Modelling.
[18] IMS Learner Information Packaging Information Model specification
v1.0, 2001.
[19] IEEE P1484.2.1/D8, Draft Standard for Learning Technology - Public
and Private Information (PAPI) for Learners
[20] Internet Mail Consortium Personal Data Interchange
[21] T. Gross and W. Prinz, "Modeling shared contexts in cooperative environments:
concept, implementation, and evaluation," Computer Supported
Cooperative Work, vol.13(3), pp. 283-303, Springer Netherlands, 2004.
[22] A. K. Dey, G. D. Abowd, and D. Salber, "A conceptual framework
and a toolkit for supporting the rapid prototyping of context-aware
applications," Human-Computer Interaction, vol.16(2), pp. 97-166, 2001.
[23] DMOZ Open directory project, http://dmoz.org/.
[24] Google Directory, http://directory.google.com/.
[25] J. Bollen, "Group User Models for Personalized Hyperlink Recommendations,"
Lecture Notes in Computer Science, vol. 1892, International
Conference on Adaptive Hypermedia and Adaptive Web-based Systems
(AH2000),pp39-50, Springer Verlag, 2000.
[26] P. Simons, Parts: A Study in Ontology. Oxford: Clarendon Press, 1987.
[27] N. Guarino, "Formal ontology and information systems," in 1998
Proc. 1st International Conference on Formal Ontologies in Information
Systems, pp3-15, IOS Press.
[28] T. R. Gruber, "Toward principles for the design of ontologies used for
knowledge sharing," in 1993 Proc. International Workshop on Formal
Ontology.
[29] L. Khan and F. Luo, "Ontology construction for information selection,"
in 2002 Proc. International Conference on Tools with Artificial Intelligence.
[1] T. Mitchell, Machine Learning. McGraw Hill, 1997.
[2] M. Balabanovic and Y. Shoham, "Fab: Content-based collaborative recommendation,"
Communications of the ACM, vol.40(3), pp. 88-89, 1997.
[3] S. Gauch, J. Chaffee, and A. Pretschner, "Ontology-based personalized
search and browsing," Web Intelligence and Agent System, vol.1(3-4), pp.
219-234, March 2003.
[4] P. Brusilovsky, "Adaptive hypermedia," User Modeling and User-Adapted
Interaction, vol.11, Springer Netherlands, pp. 87-110, 2001.
[5] S. Iksal and S. Garlatti, "Adaptive Web Information Systems: architecture
and methodology for reusing content," in 2004 Proc. 1st International
Workshop on Engineering the Adaptive Web, Eindhoven, The Netherlands.
[6] ISO 11179 Parts 1-6, Specification and Standardization of Data Elements
from the ISO/IEC 11179, 2nd ed. 2004.
[7] IEEE 1484.12.1, Standard for Learning Object Metadata, 2002.
[8] IMS: Standard for Learning Objects, 2002. http://www.imsglobal.org/.
[9] Sharable Content Object Reference Model(SCORM) ver. 1.3, 2004.
[10] N. Friesen, A. Roberts, and S. Fisher, "CanCore: Metadata for learning
objects," Canadian Journal of Learning and Technology, Vol. 28(3), 2002.
[11] UK Learning Object Metadata Core v 0.2, 2004.
http://www.cetis.ac.uk/profiles/uklomcore
[12] Facilitating Access to Information on Learning Technology for Engineers
(FAILTE), http://www.failte.ac.uk/
[13] J. Hillman, University for Industry: Creating a National Learning
Network, Institute for Public Policy Research, London, 1996
[14] Dublin Core Metadata Initiative(DCMI), http://dublincore.org/
[15] P. Resnick, H. R. Varianm "Recommender systems," Communications
of the ACM, vol.40(3), pp. 56-58, ACM Press, 1997.
[16] R. D. Burke, "Hybrid recommender systems: survey and experiments,"
User Modeling and User-Adapted Interaction, vol.12, pp. 331-370,
Springer, 2002.
[17] N. J. Belkin, "User modeling in information retrieval," in 1997 Proc.
Sixth International Conference on User Modelling.
[18] IMS Learner Information Packaging Information Model specification
v1.0, 2001.
[19] IEEE P1484.2.1/D8, Draft Standard for Learning Technology - Public
and Private Information (PAPI) for Learners
[20] Internet Mail Consortium Personal Data Interchange
[21] T. Gross and W. Prinz, "Modeling shared contexts in cooperative environments:
concept, implementation, and evaluation," Computer Supported
Cooperative Work, vol.13(3), pp. 283-303, Springer Netherlands, 2004.
[22] A. K. Dey, G. D. Abowd, and D. Salber, "A conceptual framework
and a toolkit for supporting the rapid prototyping of context-aware
applications," Human-Computer Interaction, vol.16(2), pp. 97-166, 2001.
[23] DMOZ Open directory project, http://dmoz.org/.
[24] Google Directory, http://directory.google.com/.
[25] J. Bollen, "Group User Models for Personalized Hyperlink Recommendations,"
Lecture Notes in Computer Science, vol. 1892, International
Conference on Adaptive Hypermedia and Adaptive Web-based Systems
(AH2000),pp39-50, Springer Verlag, 2000.
[26] P. Simons, Parts: A Study in Ontology. Oxford: Clarendon Press, 1987.
[27] N. Guarino, "Formal ontology and information systems," in 1998
Proc. 1st International Conference on Formal Ontologies in Information
Systems, pp3-15, IOS Press.
[28] T. R. Gruber, "Toward principles for the design of ontologies used for
knowledge sharing," in 1993 Proc. International Workshop on Formal
Ontology.
[29] L. Khan and F. Luo, "Ontology construction for information selection,"
in 2002 Proc. International Conference on Tools with Artificial Intelligence.
@article{"International Journal of Information, Control and Computer Sciences:58341", author = "Sang Keun Rhee and Hyojeong Jin and Jihye Lee and Misoo Kwon and Myon-Woong Park and Sungdo Ha", title = "Information Modelling for Adaptive Composition in Collaborative Work Environment", abstract = "Extensive information is required within a R&D environment,
and a considerable amount of time and efforts are being
spent on finding the necessary information. An adaptive information
providing system would be beneficial to the environment, and a
conceptual model of the resources, people and context is mandatory
for developing such applications. In this paper, an information model
on various contexts and resources is proposed which provides the
possibility of effective applications for use in adaptive information
systems within a R&D project and meeting environment.", keywords = "Adaptive Hypermedia, Adaptive System, ContextAwareness, Information Model, Information System, Personalisation.", volume = "2", number = "2", pages = "492-6", }
