Abstract: The present application relates in general to information retrieval and repository management system and in particular to composite storage that efficiently and compactly stores all grammatical information, including text and non-text information, about a document or a set of documents, as well as various measures based on the language used within such documents to allow any size device to manage the information that it requires to perform its functions.

Abstract: For language elements that indicate or suggest time, such as adverbs, these also contain date and time information that can be used to quantify time for a single piece of text or for an entire repository. This quantification of time can then be used by many applications, such as a mobile device that needs to know when to execute a command or when an investigator is trying to piece together a chain of events from different documents.

Abstract: Embodiments described herein are used to automatically generate a list of searchable terms from any text set, as text found in a repository of information, that then can be used in a variety of applications, from providing search results, to analyzing data sets, to building a variety of text generation tools, such as messaging and emails.

Abstract: Embodiments described herein locate objects in input. Embodiments first parse the input into a form that can be used to perform the analysis required to construct a set of one or more objects. Embodiments then form, when possible, object character strings by using the grammatical values of the underlying terms. The set of object character strings can be used in a variety of textual analysis procedures, such as search, comparisons, and other combinatorial analysis that requires the use of objects in performing tasks related to an information repository of documents, files, messages, etc.

Abstract: The embodiments determine the recommendations for a search term and its criteria, whereby a threshold is used for accepting a result, whether it is a document, message, file, or any other form of communication. The input may be part of a larger repository, and there is no restriction on how many documents constitute the returned recommendation set.

Abstract: Omission Detection measures what is missing in a document, message, or file, and can perform this measurement for a single document, multiple documents, and even an entire repository.

Abstract: For language elements that indicate or suggest time, such as adverbs, these also contain date and time information that can be used to quantify time for a single piece of text or for an entire repository. This quantification of time can then be used by many applications, such as a mobile device that needs to know when to execute a command or when an investigator is trying to piece together a chain of events from different documents.

Abstract: Embodiments described herein are used to automatically generate a list of searchable terms from any text set, as text found in a repository of information, that then can be used in a variety of applications, from providing search results, to analyzing data sets, to building a variety of text generation tools, such as messaging and emails.

Abstract: Representative embodiments form an information set from a current set of index information available by operations of the pre-search and runtime search components of the search engine. A search request that contains search terms and/or other search criteria (e.g., date or file type) is entered by a user through an input interface. The search terms and the information set are worked through the search engine modules to provide results sought by the user. The results are provided to the user via an output interface. Embodiments involve converting a search request into a format of an index of documents, and then comparing the converted search request and the index for matches.

Abstract: A representative system and method for linguistic differentiation comprises a computing device: receiving input data from a requestor; generating a plurality of term units from the input data, where the plurality of term units comprise of a first number of term units; identifying a plurality of differentiable terms of the plurality of term units, where the plurality of differentiable terms comprise a second number of term units; determining a differentiability score for each term unit of the plurality of term units; determining an input data score for the input data by evaluating a ratio of the second number of term units to the first number of term units; and transmitting, a plurality of differentiable term units to the requestor in order of their differentiability scores.

Abstract: Omission Detection measures what is missing in a document, message, or file, and can perform this measurement for a single document, multiple documents, and even an entire repository.

Abstract: The embodiments determine the recommendations for a search term and its criteria, whereby a threshold is used for accepting a result, whether it is a document, message, file, or any other form of communication. The input may be part of a larger repository, and there is no restriction on how many documents constitute the returned recommendation set.

Abstract: Embodiments of the invention form an information set from the current set of index information available by the operations of the pre-search and runtime Search components of the search engine. A search request that contains search terms and/or other search criteria (e.g. date or file type) is entered by a user through an input interface. The search terms and the information set are worked through the search engine modules to provide the actual results sought by the user. These results are provided to the user via an output interface. Embodiments involve converting a search request into a format of an index of documents, and then comparing the converted search request and the index for matches.

Abstract: Embodiments of the invention form an information set from the current set of index information available by the operations of the Pre-Search and RunTime Search components of the search engine. A search request that contains search terms and/or other search criteria (e.g. date or file type) is entered by a user through an input interface. The search terms and the information set are worked through the search engine modules to provide the actual results sought by the user. These results are provided to the user via a Return Interface. Embodiments involve a search engine that forms a numeric code index that includes grammar embedded rules from a plurality of documents, converts a search request into the same format as the index, and then compares the index and the search request to form the search results.

Abstract: Differentiation testing is used to determine the usefulness of a term on a single-term basis or within a set of terms. Differentiation testing is performed by comparing an input against other input or a comparison set.

Abstract: Embodiments are used to extract terms from any text set that are used on other text, such as in a repository, that then can be used in a variety of applications, from providing search results, to analyzing data sets, to building a variety of text generation tools, such as messaging and emails.

Abstract: Embodiments described herein of the natural language determiner (NLD) illustrate the ability to determine, at runtime, the conversion of natural language text into a computer-usable form. The natural language determiner's function is used to identify all functions of a device equal to a user manual for the device and displays at least one function of the device equal to the user manual for the device.

Abstract: Textual Geographical Location relates a placename, which is a set of terms, from one to any maximum as defined in an individual language, to a unique point or area (many points) as found on a map or other coordinate system, such as the map of the United States as used in global positioning system (GPS).

Abstract: Embodiments of the invention form an information set from the current set of index information available by the operations of the pre-search and runtime Search components of the search engine. A search request that contains search terms and/or other search criteria (e.g. date or file type) is entered by a user through an input interface. The search terms and the information set are worked through the search engine modules to provide the actual results sought by the user. These results are provided to the user via an output interface. Embodiments involve converting a search request into a format of an index of documents, and then comparing the converted search request and the index for matches.

Abstract: Embodiments of the invention form an information set from the current set of index information available by the operations of the Pre-Search and RunTime Search components of the search engine. A search request that contains search terms and/or other search criteria (e.g. date or file type) is entered by a user through an input interface. The search terms and the information set are worked through the search engine modules to provide the actual results sought by the user. These results are provided to the user via a Return Interface. Embodiments involve a search engine that forms a numeric code index that includes grammar embedded rules from a plurality of documents, converts a search request into the same format as the index, and then compares the index and the search request to form the search results.