TY - GEN
T1 - An architectural paradigm for collaborative semantic indexing of multimedia data objects
AU - LEUNG, Clement H C
AU - LIU, Jiming
AU - Chan, Alice W.S.
AU - Milani, Alfredo
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - A challenging problem facing the semantic search of multimedia data objects is the ability to index them. Here, we present an architectural paradigm for collaborative semantic indexing, which makes use of a dynamic evolutionary approach. By capturing, analyzing and interpreting user response and query behavior, the patterns of searching and finding multimedia data objects may be established. Within the present architectural paradigm, the semantic index may be dynamically constructed, validated, and built-up, where the performance of the system will increase as time progresses. Our system also incorporates a high degree of robustness and fault-tolerance whereby inappropriate index terms will be gradually eliminated from the index, while appropriate ones will be reinforced. We also incorporate genetic variations into the design to allow objects which may otherwise be hidden to be discovered. Experimental results indicate that the present approach is able to confer significant performance benefits in the semantic searching and discovery of a wide variety of multimedia data objects.
AB - A challenging problem facing the semantic search of multimedia data objects is the ability to index them. Here, we present an architectural paradigm for collaborative semantic indexing, which makes use of a dynamic evolutionary approach. By capturing, analyzing and interpreting user response and query behavior, the patterns of searching and finding multimedia data objects may be established. Within the present architectural paradigm, the semantic index may be dynamically constructed, validated, and built-up, where the performance of the system will increase as time progresses. Our system also incorporates a high degree of robustness and fault-tolerance whereby inappropriate index terms will be gradually eliminated from the index, while appropriate ones will be reinforced. We also incorporate genetic variations into the design to allow objects which may otherwise be hidden to be discovered. Experimental results indicate that the present approach is able to confer significant performance benefits in the semantic searching and discovery of a wide variety of multimedia data objects.
KW - Collaborative indexing
KW - Concept-based search
KW - Genetic algorithms
KW - Index set
KW - Multimedia data objects
KW - Ranking
KW - Relevance feedback
KW - Semantics retrieval
UR - http://www.scopus.com/inward/record.url?scp=55249125215&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85891-1_24
DO - 10.1007/978-3-540-85891-1_24
M3 - Conference proceeding
AN - SCOPUS:55249125215
SN - 3540858903
SN - 9783540858904
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 216
EP - 226
BT - Visual Information Systems
T2 - 10th International Conference on Visual Information Systems, VISUAL 2008
Y2 - 11 September 2008 through 12 September 2008
ER -