Abstract: Methods and systems for finding experts based upon user customizable search and ranking criteria, and providing the search results at a person or expert level are disclosed. The methods generally entail cataloging data within one or more document databases, and includes the steps of (a) inputting disparate data sources which may include publications, awarded grants, clinical trials, and/or patents; (b) processing the data within each document in the document database(s); (c) creating a document profile for each document using relevant keywords; (d) assigning weighting factors to the relevant keywords based upon selected attributes; (e) assigning an identifier to each document and document author; (f) removing duplicate document data using a disambiguation algorithm; (g) extracting author level attributes from the retrieved documents; and (h) creating or updating each document profile.

Abstract: Inventive systems and methods for retrieving and displaying a plurality of entities associated with a plurality of content sources in response to a search query is disclosed. In preferred embodiments of the systems and methods, the present invention addresses the need to search and relate a plurality of entities across a plurality of content sources, and then displaying the search results in an interactive user interface that simultaneously updates and modifies the display of associated entities and related content. Such searching and relationship generation for a plurality of entities across a plurality of content sources is designed to address and handle the continuing increases and growth in searchable content.

Abstract: Methods and systems for querying data, and displaying the query results using an interactive representation in three spatial dimensions are disclosed. Query or search results are analyzed and displayed in an interactive three-dimensional representation using a plurality of nodes, representing aspects of the search results, and links connecting the nodes, representing strength of relation between the connected nodes. The inventive methods and systems allow users to manipulate the three-dimensional representation to view the search results from different angles. The inventive methods and systems also allow users to activate sub-applications from any node, to filter or browse data results, and/or to update all nodes linked to any activated node.

Abstract: Methods and systems for finding experts based upon user customizable search and ranking criteria, and providing the search results at a person or expert level are disclosed. The methods generally entail cataloging data within one or more document databases, and includes the steps of (a) inputting disparate data sources which may include publications, awarded grants, clinical trials, and/or patents; (b) processing the data within each document in the document database(s); (c) creating a document profile for each document using relevant keywords; (d) assigning weighting factors to the relevant keywords based upon selected attributes; (e) assigning an identifier to each document and document author; (f) removing duplicate document data using a disambiguation algorithm; (g) extracting author level attributes from the retrieved documents; and (h) creating or updating each document profile.

Abstract: Inventive systems and methods for retrieving and displaying a plurality of entities associated with a plurality of content sources in response to a search query is disclosed. In preferred embodiments of the systems and methods, the present invention addresses the need to search and relate a plurality of entities across a plurality of content sources, and then displaying the search results in an interactive user interface that simultaneously updates and modifies the display of associated entities and related content. Such searching and relationship generation for a plurality of entities across a plurality of content sources is designed to address and handle the continuing increases and growth in searchable content.

Abstract: A method for using natural language for the description, search and retrieval of multi-media objects, this method comprises receiving a query for the database using natural language; recognizing the syntactic and semantic structure of the query; assigning a role representation of the query for permitting searching an archival database for a query response.