1. A method comprising: using at least one processor to perform: receiving a first search query; obtaining a disambiguation term for semantically disambiguating the first search query, the obtaining comprising: presenting a plurality of terms in one or more semantic representations of the first search query to a user; and receiving user input identifying the disambiguation term in the plurality of terms; after obtaining the disambiguation term, generating a semantic network comprising a hierarchy of concepts related to a first semantic representation identified based on the disambiguation term, the one or more semantic representations comprising the first semantic representation, and generating a second search query based at least in part on the first search query and at least one concept in the hierarchy of concepts in the generated semantic network; and outputting search results obtained from a search conducted based, at least in part, on the second search query.
1. A method comprising: using at least one processor to perform: receiving a first search query; obtaining a disambiguation term for semantically disambiguating the first search query, the obtaining comprising: presenting a plurality of terms in one or more semantic representations of the first search query to a user; and receiving user input identifying the disambiguation term in the plurality of terms; after obtaining the disambiguation term, generating a semantic network comprising a hierarchy of concepts related to a first semantic representation identified based on the disambiguation term, the one or more semantic representations comprising the first semantic representation, and generating a second search query based at least in part on the first search query and at least one concept in the hierarchy of concepts in the generated semantic network; and outputting search results obtained from a search conducted based, at least in part, on the second search query. 7. The method of claim 1 , further comprising: identifying terms appearing in a body of information content with a trend score higher than a predetermined threshold; and generating the semantic network further based on the identified terms.