Applications

RussNet as a monolingual resource

1. RussNet was primarily designed to serve the needs of Information Retrieval. RussNet data can be used for modifying user's query effectively:
   1. due to the paradigmatic relations presented, e.g., a query may be expanded by members of the synset, corresponding to the word meaning under consideration, as well as by its co-hyponyms and hyperonym, while all the words from other synsets including the given word, should be excluded (taken as stop-words).
   2. due to the syntagmatic relations presented.
   Further IR-related subtasks are:
   • Context Information Retrieval;
   • Part-of-Speech Tagging;
   • Word Sense Disambiguation;
   • Text Similarity Measurement (doc, 43 Kb).
2. RussNet can be used as a semantic component of different formal grammars (e.g. AGFL).
3. RussNet is a useful formalism to represent a vocabulary of sublanguages (e.g. special terminology).

RussNet as a multilingual resource

At present we are developing mostly the language-internal structures of RussNet and not focusing on Inter-Lingual-Index, connecting semantically related words in different languages. But in future it is planned to adjust RussNet to the common ILI and, thus, make it useful for the following tasks as well:

1. Cross-Language and Multilingual Information Retrieval;
2. Machine Translation. (It is believed to be unreasonable to use RussNet for MT directly. Yet, as ILI allows to extract not only equivalent but semantically related words as well in different languages, RussNet may be used a subsidiary component for lexical analysis-synthesis accompanied by morphological and syntactic components.)