Abstract
This paper generalizes the idea of traditional syntactic text autocompletion onto the semantic level. The idea is to autocomplete typed text into ontological categories instead of words in a vocabulary. The idea has been implemented and its application for semantic indexing and content-based information retrieval in multi-facet search is proposed. Four operational semantic portals on the web using the implementation are presented as application cases. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Hyvönen, E., & Mäkelä, E. (2006). Semantic autocompletion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 739–751). Springer Verlag. https://doi.org/10.1007/11836025_72
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