2008
DOI: 10.1016/j.compedu.2006.12.007
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A practical ontology query expansion algorithm for semantic-aware learning objects retrieval

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Cited by 58 publications
(35 citation statements)
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“…It is called the process of personalized semantic query expansion (PSQE). The strategies of general semantic query expansion are often based on hierarchical relationship and the expansion level is determined empirically just like selecting all successor concepts, instance set, direct descendant concept set and direct grandfather concept set [9][10][11][12]. Here we borrow the thought of spreading activation model to enhance the selection of expansion terms to reduce noise and combine it with dynamic user query profile to get more accurate expansion terms.…”
Section: Psqe (Personalized Semantic Query Expansion)mentioning
confidence: 99%
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“…It is called the process of personalized semantic query expansion (PSQE). The strategies of general semantic query expansion are often based on hierarchical relationship and the expansion level is determined empirically just like selecting all successor concepts, instance set, direct descendant concept set and direct grandfather concept set [9][10][11][12]. Here we borrow the thought of spreading activation model to enhance the selection of expansion terms to reduce noise and combine it with dynamic user query profile to get more accurate expansion terms.…”
Section: Psqe (Personalized Semantic Query Expansion)mentioning
confidence: 99%
“…D. Pal extracted candidate expansion terms from a set of pseudo-relevant documents and then filtered terms according to the semantical relation to query based on WordNet [6]. In domain retrieval, domain ontology was built and query expansion was implemented with different strategies [7][8][9][10][11][12], L. Khan et al selected all successor concepts of disambiguated concepts of query for query expansion [9], and G. Zou et al only selected an instance set, direct descendant concept set and direct grandfather concept set [10], M. C. Lee et al employed concept hierarchy of domain ontology for expansion with a pruning threshold [11]. N. A. Segura et al considered concepts and relations together in the expansion process, concepts with meaningful relations were given a high priority for expansion [12].…”
Section: Related Workmentioning
confidence: 99%
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“…Lau, 2014]; el algoritmo de expansión de consultas de [M. Lee et al, 2008]; el sistema de extracción de información de [T.I. Wang et al, 2009]; el método de localización de información de [R. Kawase et al, 2014]; la ontología de extensión de consultas de [N.A.…”
Section: La Búsqueda Y Recuperación De La Informaciónunclassified
“…Sin embargo, en los sistemas de e-Learning, los usuarios pueden no tener la menor idea de lo que están buscando. En [M. Lee et al, 2008] se presenta un enfoque ontológico a la recuperación de LO teniendo en cuenta la semántica.…”
Section: Los Actuales Sistemas De Recuperación De Información Web O unclassified