TY - GEN
T1 - Towards intelligent and adaptive digital library services
AU - Hasan, Md Maruf
AU - Nantajeewarawat, Ekawit
PY - 2008
Y1 - 2008
N2 - In this paper, we introduced a 3-Layer digital library architecture that facilitates intelligent and adaptive digital library services. We aimed at integrating DL contents with domain-ontology, user-profile and usage-pattern by means of intelligent algorithms and techniques. On top of an open-source digital library system, we developed required modules to capture and manipulate necessary data with the help of efficient techniques such as ontology-driven topic inference, collaborative filtering, single exponential smoothing, etc. We verified that our approach is capable of enhancing and adapting user profile dynamically with the help of ontology-driven topic inference and usage-pattern analysis. Usage pattern and content -based collaborative-filtering techniques are used in developing adaptive recommendation service. We also proposed a User Interest-Drift algorithm based on single exponential smoothing techniques. Our preliminary experimental results and exploratory analyses show that our approach has created positive user experience in a small digital library environment. Large scale deployment of the proposed digital library system along with further refinement of algorithms is also planned.
AB - In this paper, we introduced a 3-Layer digital library architecture that facilitates intelligent and adaptive digital library services. We aimed at integrating DL contents with domain-ontology, user-profile and usage-pattern by means of intelligent algorithms and techniques. On top of an open-source digital library system, we developed required modules to capture and manipulate necessary data with the help of efficient techniques such as ontology-driven topic inference, collaborative filtering, single exponential smoothing, etc. We verified that our approach is capable of enhancing and adapting user profile dynamically with the help of ontology-driven topic inference and usage-pattern analysis. Usage pattern and content -based collaborative-filtering techniques are used in developing adaptive recommendation service. We also proposed a User Interest-Drift algorithm based on single exponential smoothing techniques. Our preliminary experimental results and exploratory analyses show that our approach has created positive user experience in a small digital library environment. Large scale deployment of the proposed digital library system along with further refinement of algorithms is also planned.
KW - Collaborative filtering
KW - Digital library
KW - Interest-drift modeling
KW - Ontology-based topic inference
KW - Recommender system
KW - User modelling
UR - http://www.scopus.com/inward/record.url?scp=58049093373&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89533-6_11
DO - 10.1007/978-3-540-89533-6_11
M3 - Conference Proceeding
AN - SCOPUS:58049093373
SN - 3540895329
SN - 9783540895329
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 104
EP - 113
BT - Digital Libraries
PB - Springer Verlag
T2 - 11th International Conference on Asian Digital Libraries, ICADL 2008
Y2 - 2 December 2008 through 5 December 2008
ER -