Abstract: A text annotation structured storage method stores text annotations with associated type information in a structured data store. The present system persists or stores annotations in a structured data store in an indexable and queryable format. Exemplary structured data stores comprise XML databases and relational databases. The method exploits type information in a type system to develop corresponding schemas in a structured data model. The method comprises techniques for mapping annotations to an XML data model and a relational data model. The method captures various features of the type system, such as complex types and inheritance, in the schema for the persistent store. In particular, the repository provides support for path navigation over the hierarchical type system starting at any type.

Abstract: The present invention relates to a methodology to translate exact interpretations of keyword queries into meaningful and grammatically correct plain-language queries in order to convey the meaning of these interpretations to the initiator of the search. The method includes the steps of generating at least one grammatically valid plain-language sentence interpretation for a keyword query from a generated sentence plain-language sentence clauses, wherein the grammatically valid plain-language sentence is based upon differing matching elements, and presenting at least one grammatically valid plain-language sentence interpretation for the keyword query to a keyword query system user for the user's review.

Abstract: The present invention relates to a methodology to translate exact interpretations of keyword queries into meaningful and grammatically correct plain-language queries in order to convey the meaning of these interpretations to the initiator of the search. The method includes the steps of generating at least one grammatically valid plain-language sentence interpretation for a keyword query form a generated sentence is based upon differing matching elements, and presenting at least one grammatically valid plain-language sentence interpretation for the keyword query to a keyword query system user for the user's review.

Abstract: A query interpretation system exploits semantic annotations in keyword queries over a collection of text documents, casting semantic annotations produced by text analysis engines into a formal annotation type system. The system uses the annotation type system to enumerate various interpretations of a keyword query and automatically translate a keyword query into a set of interpretations expressed in some intermediate query language. The system returns a result list of documents by combining the results of executing one or more of these interpretations. Even though the system generates and uses a complex type system, a user is able to use simple keyword queries to locate documents.

Abstract: Disclosed is a system, method, and program storage device of aggregating opinions comprising consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions, generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of the discrete probability distributions, and presenting the aggregate opinion as a Bayesian network, wherein the divergences comprise Kullback-Liebler distance divergences, and wherein the expressed opinions are generated by experts and comprise opinions on sentiments of products and services. Moreover, the aggregate opinion predicts success of the products and services. Furthermore, the experts are arranged in a hierarchy of knowledge, wherein the knowledge comprises the various dimensions of topics for which opinions may be expressed upon.

Abstract: Disclosed are a system, method, and program storage device implementing the method of extracting information, wherein the method comprises inputting a query; searching a database of documents based on the query; retrieving documents from the database matching the query using a plurality of classifiers arranged in a hierarchical cascade of classifier layers, wherein each classifier comprises a set of weighted training data points comprising feature vectors representing any portion of a document; and weighing an output from the cascade according to a rate of success of query terms being matched by each layer of the cascade, wherein the weighing is performed using a terminal classifier.

Abstract: Disclosed is a system, method, and program storage device of aggregating opinions comprising consolidating a plurality of expressed opinions on various dimensions of topics as discrete probability distributions, generating an aggregate opinion as a single point probability distribution by minimizing a sum of weighted divergences between a plurality of the discrete probability distributions, and presenting the aggregate opinion as a Bayesian network, wherein the divergences comprise Kullback-Liebler distance divergences, and wherein the expressed opinions are generated by experts and comprise opinions on sentiments of products and services. Moreover, the aggregate opinion predicts success of the products and services. Furthermore, the experts are arranged in a hierarchy of knowledge, wherein the knowledge comprises the various dimensions of topics for which opinions may be expressed upon.