Abstract: A method, system and computer program for identifying a relationship between concepts in an object includes (i) selecting the object for inclusion in an initial subset of objects obtained as an output of a search engine; (ii) storing the object in a database; (iii) creating an index of the object; (iv) analyzing the index to extract two concepts relating to the object; (v) highlighting the two concepts within object; (vi) calculating a strength of a relationship between the two concepts using a ratio; (vii) storing the two concepts and the strength of the relationships between the two concepts in a database; (viii) presenting the two concepts and the strength in an interface that has a concept matrix; and (ix) repeating steps vi through viii for every possible pairwise combination of concepts within the index.

Abstract: A method, operating model, system, data structure, computer program and computer program product for analyzing and categorizing and exploring or querying unstructured information and for tracking trends and exceptions. Method for analytical processing of unstructured objects in a dimensional space. Method for tracking trends in concepts. Method for tracking exceptions in concepts. Tools and interface for displaying concepts, query results, tracked trends and exceptions.

Abstract: A method and system for analyzing and categorizing unstructured information and for tracking trends and exceptions by using a user's selection of a key concept, wherein the key concept is one or more words or phrases present in the content of an unstructured object that represent an unstructured object.

Abstract: Systems, methods, and computer programs for performing concept-based searches and for creating content are described. According to one embodiment, a method is described wherein one or more concepts are identified and a search query is formed based on the identified concepts. The search query is used to perform one or more searches that retrieve one or more search results. According to another embodiment, a method is described wherein one or more concepts are identified in a first content source. Context related to at least one of the one or more concepts is extracted from the first content source, and a second content source is populated with at least a portion of the context.

Abstract: A computer implemented system and method automates analysis and mining of concepts from unstructured data. At least one concept within at least one object is analyzed. Analysis involves: selecting an object for inclusion in an initial set of objects to be analyzed; using an algorithm to extract a concept from the initial set of objects to create an initial set of concepts; refining the concept based upon relationships to other concepts; and performing multi-dimensional analysis on the concept in the initial set of objects to analyze the concept.

Abstract: A method, operating model, system, data structure, computer program and computer program product for analyzing and categorizing and exploring or querying unstructured information and for tracking trends and exceptions. Method for analytical processing of unstructured objects in a dimensional space. Method for tracking trends in concepts. Method for tracking exceptions in concepts. Tools and interface for displaying concepts, query results, tracked trends and exceptions.

Abstract: Systems, methods, and computer programs for performing concept-based searches and for creating content are described. According to one embodiment, a method is described wherein one or more concepts are identified and a search query is formed based on the identified concepts. The search query is used to perform one or more searches that retrieve one or more search results. According to another embodiment, a method is described wherein one or more concepts are identified in a first content source. Context related to at least one of the one or more concepts is extracted from the first content source, and a second content source is populated with at least a portion of the context.

Abstract: A method, operating model, system, data structure, computer program and computer program product for analyzing and categorizing and exploring or querying unstructured information and for tracking trends and exceptions. Method for analytical processing of unstructured objects in a dimensional space. Method for tracking trends in concepts. Method for tracking exceptions in concepts. Tools and interface for displaying concepts, query results, tracked trends and exceptions.

Abstract: A method, operating model, system, data structure, computer program and computer program product for analyzing and categorizing unstructured information is provided such that conventional structured data access techniques can be utilized over unstructured objects. A analysis and categorization engine builds a set of concept groupings, each grouping consisting of related words and phrases. The concept groupings are augmented by user input. A set of categories is built. The analysis and categorization engine generates a vector representation of each object based on concepts and utilizes a statistical analysis to select concepts that represent each object and assign objects to categories. Information about users, objects, and categories is stored in an open architecture, such as a relational database. An object concept based search is provided to efficiently locate meaningful objects and to provide for updating of the object categorization based on search entries.

Abstract: A method, operating model, system, data structure, computer program and computer program product for analyzing and categorizing and exploring or querying unstructured information and for tracking trends and exceptions. Method for analytical processing of unstructured objects in a dimensional space. Method for tracking trends in concepts. Method for tracking exceptions in concepts. Tools and interface for displaying concepts, query results, tracked trends and exceptions.