Sentence examples for documents and queries from inspiring English sources

In this framework, collections, documents and queries correspond to matrix spaces.

Keyword-based search methods have been widely used due to their ease of use, but their search accuracy has been often problematic because of the semantic ambiguity of terminologies in engineering documents and queries.

Stemmers can improve the retrieval effectiveness of information retrieval systems, however the designing and the implementation of stemmers requires a laborious amount of effort due to the fact that documents and queries are often written or spoken in several different languages.

The listener uses the validation engine from the logic layer in order to validate messages, documents and queries.

We accomplish our goal by encrypting documents and querying keywords.

We simulate the last two steps of this process by creating an indexed collection consisting of only Tier 0 documents, and then querying for Tier 1 and Tier 2 documents; and then indexing Tier 1 documents and querying for Tier 2 documents.

Some examples of document similarity are document clustering, document categorization, document summarization, and query-based search.

Though stemming is performed on words in the text documents, ontologies and queries in an effort to reduce each term to its base word, variations in terms do exist that stemming does not account for.

Our work reinvestigates this conclusion in the context of improved document retrieval methods on larger document and query collections.

A commonly used distance measure in LSA is the cosine value of the angle between the document and query in the reduced eigen space.

When the algorithm has processed all reactions, the modifications in submodel M′ need to be merged back into the original model M. The extraction of rate laws from the database SABIO-RK requires a model M (given as an SBML document) and query terms Q as input.