LSI vs. Wordnet Ontology in Dimension Reduction for Information Retrieval
Pavel Moravec, Michal Kolovrat, Václav Snåšel · 2004
In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures su#er the "curse of dimensionality" and their e#ciency rapidly decreases. Secondly, we may not use exact words when looking for a document, thus we miss some relevant documents. LSI (Latent Semantic Indexing) is a numerical method, which discovers latent semantic in documents by creating concepts from existing terms. However, it is hard to compute LSI. In this article, we o#er a replacement of LSI with a projection matrix created from WordNet hierarchy and compare it with LSI.