Abstract: A semantic query over a corpus of data is constructed using a graphical user interface to create an aggregation of graphical representations of annotations associated with a plurality of data elements contained within the corpus of data and graphical representations of search terms contained within the plurality of data elements. The aggregation includes at least one annotation and at least one search term. The relative positions of the graphical representations of the annotations and the search terms are manipulated within the aggregation within the graphical user interface to express relationships among the annotations and search terms, yielding a visual spatial representation of the semantic query. The annotations, search terms and expressed relationships define the semantic query that is used to search the corpus of data.

Abstract: A semantic query over a corpus of data is constructed using a graphical user interface to create an aggregation of graphical representations of annotations associated with a plurality of data elements contained within the corpus of data and graphical representations of search terms contained within the plurality of data elements. The aggregation includes at least one annotation and at least one search term. The relative positions of the graphical representations of the annotations and the search terms are manipulated within the aggregation within the graphical user interface to express relationships among the annotations and search terms, yielding a visual spatial representation of the semantic query. The annotations, search terms and expressed relationships define the semantic query that is used to search the corpus of data.

Abstract: A semantic query over a corpus of data is constructed using a graphical user interface to create an aggregation of graphical representations of annotations associated with a plurality of data elements contained within the corpus of data and graphical representations of search terms contained within the plurality of data elements. The aggregation includes at least one annotation and at least one search term. The relative positions of the graphical representations of the annotations and the search terms are manipulated within the aggregation within the graphical user interface to express relationships among the annotations and search terms, yielding a visual spatial representation of the semantic query. The annotations, search terms and expressed relationships define the semantic query that is used to search the corpus of data.

Abstract: A semantic query over a corpus of data is constructed using a graphical user interface to create an aggregation of graphical representations of annotations associated with a plurality of data elements contained within the corpus of data and graphical representations of search terms contained within the plurality of data elements. The aggregation includes at least one annotation and at least one search term. The relative positions of the graphical representations of the annotations and the search terms are manipulated within the aggregation within the graphical user interface to express relationships among the annotations and search terms, yielding a visual spatial representation of the semantic query. The annotations, search terms and expressed relationships define the semantic query that is used to search the corpus of data.

Abstract: The present invention provides for analyzing document content for display with reduced cognitive load assists those who are blind, have low vision, or cognitive problems. This present invention also aids those who prefer to receive condensed information orally. Document content is analyzed, a set of salient words and phrases are generated from the document content and the set of salient words and phrases are read.

Abstract: The present invention provides for analyzing document content for display with reduced cognitive load assists those who are blind, have low vision, or cognitive problems. This present invention also aids those who prefer to receive condensed information orally. Document content is analyzed, a set of salient words and phrases are generated from the document content and the set of salient words and phrases are read.

Abstract: The present invention provides for analyzing document content for display with reduced cognitive load, and assists those who are blind, have low vision, or have cognitive problems. This present invention also aids those who prefer to receive condensed information orally. Document content is analyzed, a set of salient words and phrases are generated from the document content, the salient words and phrases are tagged, and the set of salient words and phrases are read.

Abstract: Topicality scores are determined for a number of phrasal expressions in documents. Phrasal expressions may be noun phrases, with or without corresponding prepositional phrases, subject-verb pairs, and verb-object pairs. The documents describe some topic or multiple topics. Techniques can be used to determined how the phrasal expression compares with the topic or topics being described in the documents. Specificities are determined for the phrasal expressions. Techniques may be used to determine whether phrasal expressions are more or less specific than other phrasal expressions. An order is determined for the phrasal expressions by using the topicality scores and the specificities. The order may be represented as a phrasal expression tree, for example. The phrasal expression tree may be displayed to a user, and the user can navigate through the phrasal expression tree, and therefore through the one or more documents.

Abstract: A speech conversation is changed to a text transcript, which is then pre-processed and subjected to text mining to determine salient terms. Salient terms are those terms that meet a predetermined level of selectivity in a collection. The text transcript of the speech conversation is displayed by emphasizing the salient terms and minimizing non-salient terms. An interface is provided that allows a user to select a salient term, whereupon the speech conversation is played beginning at the location, in the speech file, of the selected salient term.

Abstract: To identify and describe one or more topics in one or more documents in a document set, a term set process creates a basic term set from the document set where the term set comprises one or more basic terms of one or more words in the document. A document vector process then creates a document vector for each document. The document vector has a document vector direction representing what the document is about. A topic vector process then creates one or more topic vectors from the document vectors. Each topic vector has a topic vector direction representing a topic in the document set. A topic term set process creates a topic term set for each topic vector that comprises one or more of the basic terms describing the topic represented by the topic vector. Each of the basic terms in the topic term set associated with the relevancy of the basic term. A topic-document relevance process creates a topic-document relevance for each topic vector and each document vector.

Abstract: A speech conversation is changed to a text transcript, which is then pre-processed and subjected to text mining to determine salient terms. Salient terms are those terms that meet a predetermined level of selectivity in a collection. The text transcript of the speech conversation is displayed by emphasizing the salient terms and minimizing non-salient terms. An interface is provided that allows a user to select a salient term, whereupon the speech conversation is played beginning at the location, in the speech file, of the selected salient term.