METHOD AND SYSTEM FOR ENHANCED DATA SEARCHING

摘要

Methods and systems for syntactically indexing and searching data sets to
achieve more accurate
search results and for indexing and searching data sets using entity tags
alone or in combination
therewith are provided. Example embodiments provide a Syntactic Query Engine
(''SQE'') that
parses, indexes, and stores a data set, as well as processes natural language
queries subsequently
submitted against the data set. The SQE comprises a Query Preprocessor, a Data
Set
Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural
Language Parser
(''ENLP''), a data set repository, and, in some embodiments, a user interface.
After preprocessing
the data set, the SQE parses the data set according to a variety of levels of
parsing and
determines as appropriate the entity tags and syntactic and grammatical roles
of each term to
generate enhanced data representations for each object in the data set. The
SQE indexes and
stores these enhanced data representations in the data set repository. Upon
subsequently
receiving a query, the SQE parses the query also using a variety of parsing
levels and searches
the indexed stored data set to locate data that contains similar terms used in
similar grammatical
roles and/or with similar entity tag types as indicated by the query. In this
manner, the SQE is
able to achieve more contextually accurate search results more frequently than
using traditional
search engines.