منابع مشابه
Web Information Retrieval using WordNet
Information retrieval (IR) is the area of study concerned with searching documents or information within documents. The user describes information needs with a query which consists of a number of words. Finding weight of a query term is useful to determine the importance of a query. Calculating term importance is fundamental aspect of most information retrieval approaches and it is traditionall...
متن کاملUsing WordNet in Multimedia Information Retrieval
This work investigates the use of external knowledge in a corpus with minimal textual information. We have expanded the original collection with WordNet terms in order to enrich the information included in this corpus. In addition, we have have carried out experiments with original and expanded topics. However, the obtained results show that it is necessary to continue investigating the expansi...
متن کاملUsing BFA with wordnet ontology based model for web retrieval
In the area of information retrieval, the dimension of document vectors plays an important role. We may need to find a few words or concepts, which characterize the document based on its contents, to overcome the problem of the "curse of dimensionality", which makes indexing of highdimensional data problematic. To do so, we earlier proposed a Wordnet and Wordnet+LSI (Latent Semantic Indexing) b...
متن کاملUsing BFA with WordNet Based Model for Web Retrieval
The information retrieval [1,16] deals among other things with storage and retrieval of multimedia data, that can be usually represented as vectors in multidimensional space.This is especially suitable for text retrieval, where we store a collection (or corpus) of texts. More general, such a corpus can be a collection of web pages or, recently, of their annotated version as it is proposed in so...
متن کاملUsing Arabic Wordnet for semantic indexation in information retrieval system
In the context of arabic Information Retrieval Systems (IRS) guided by arabic ontology and to enable those systems to better respond to user requirements, this paper aims to representing documents and queries by the best concepts extracted from Arabic Wordnet. Identified concepts belonging to Arabic WordNet synsets are extracted from documents and queries, and those having a single sense are ex...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/8955-3151