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: 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 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: 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: 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.