Abstract: A method for classifying information sources and content based on credibility, reliability, or trust. A content item describing an event is retrieved from an information provider and parsed for links. Each link is evaluated and attributed a sentiment score. The same event is identified in a set of know sources and an event score is calculated based on the credibility of each of the known sources. Finally, the content item is ranked based on the event and sentiment scores.

Abstract: A method for classifying information sources and content based on credibility, reliability, or trust. A content item describing an event is retrieved from an information provider and parsed for links. Each link is evaluated and attributed a sentiment score. The same event is identified in a set of know sources and an event score is calculated based on the credibility of each of the known sources. Finally, the content item is ranked based on the event and sentiment scores.

Abstract: A method for classifying information sources and content based on credibility, reliability, or trust. A content item describing an event is retrieved from an information provider and parsed for links. Each link is evaluated and attributed a sentiment score. The same event is identified in a set of know sources and an event score is calculated based on the credibility of each of the known sources. Finally, the content item is ranked based on the event and sentiment scores.

Abstract: A method for content extraction and modeling by a computer system for incorporating the content into a domain model including the steps of extracting by an acquisition module content stored on a computer readable medium of at least one data source, determining whether the content is structured or unstructured; wherein structured content has a first content model associated therewith defining at least a format of the structured content and unstructured content has no model associated therewith. Upon a condition in which the content is structured, incorporating the structured content into the domain model; and, upon a condition in which the content is unstructured, determining by the computer system a second content model to transform the unstructured content into newly structured content and incorporating the newly structured content into the domain model.

Abstract: A method for classifying information sources and content based on credibility, reliability, or trust. A content item describing an event is retrieved from an information provider and parsed for links. Each link is evaluated and attributed a sentiment score. The same event is identified in a set of know sources and an event score is calculated based on the credibility of each of the known sources. Finally, the content item is ranked based on the event and sentiment scores.

Abstract: A method for content extraction and modeling by a computer system for incorporating the content into a domain model including the steps of extracting by an acquisition module content stored on a computer readable medium of at least one data source, determining whether the content is structured or unstructured; wherein structured content has a first content model associated therewith defining at least a format of the structured content and unstructured content has no model associated therewith. Upon a condition in which the content is structured, incorporating the structured content into the domain model; and, upon a condition in which the content is unstructured, determining by the computer system a second content model to transform the unstructured content into newly structured content and incorporating the newly structured content into the domain model.

Abstract: A modeling system enriched with information from a single source (or multiple sources) that allows for the intelligent extension, formulation or reformulation of a request into various processes including but not limited to transmission, discovery, notification, searching, filtering and storing processes is provided. The innovation builds a network of connected information in a specific domain (or group of domains). Additionally, the system enhances the quality and specificity of the results for queries made in various systems including, but not limited to, search engines.

Abstract: A computer system that facilitates presentation of data to a user. A search engine component receives and executes queries on behalf of a user. Results of the query are received and analyzed by an analysis component that filters and organizes the results as a function of relevancy of the data to the user and associated context of the query. A user interface component presents the data to the user in a manner that facilitates easy consumption/processing of data by respective users. The user interface component can dynamically modify display settings as a function of content and type of information displayed, user state, user preferences, explicit or implicit learning, user intent, etc.