Study on semantic search can be mainly divided into two kinds: one is augmenting traditional keyword-based search engines with semantic techniques like ontology, semantic inference; the other is proposing methods for directly searching on semantic repositories as RDF or OWL files. However, compared with those theoretic-driven approaches, semantic search still lacks applications with real life cases at the moment. By analyzing the scenario of domain resources, this paper proposes a domain-oriented semantic search model, which provides both entity search (concepts and instances) and relationship retrieval (concept2concpet, concept2instance and instance2instance). The search model can be further refined as a generalized and domain independent architecture with inference supports. The supporting semantic inference is gradually achieved by reasoning-rules, formulas and algorithms. With such semantic search model, more exact and meaningful information hidden in the resource repository can be extracted. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Yan, Z., Ding, Y., & Cimpian, E. (2007). Towards a domain oriented and independent semantic search model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4694 LNAI, pp. 736–744). Springer Verlag. https://doi.org/10.1007/978-3-540-74829-8_90
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