Abstract: An information retrieval system and method are presented. A template is retrieved from a template repository. The template repository stores a plurality of templates. Each of the plurality of templates includes a concept and a relationship from a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities. The plurality of entities include concepts and instances. The template is transmitted to a client computer, and a statement is received from the client computer. The statement includes an instantiation of the template. A knowledge base is queried using the statement to generate a result listing identifying an item in the knowledge base. The knowledge base identifies a plurality of items. Each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model.

Abstract: An information retrieval system and method are presented. A template is retrieved from a template repository. The template repository stores a plurality of templates. Each of the plurality of templates includes a concept and a relationship from a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities. The plurality of entities include concepts and instances. The template is transmitted to a client computer, and a statement is received from the client computer. The statement includes an instantiation of the template. A knowledge base is queried using the statement to generate a result listing identifying an item in the knowledge base. The knowledge base identifies a plurality of items. Each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model.

Abstract: An information retrieval system and method are presented. A template is retrieved from a template repository. The template repository stores a plurality of templates. Each of the plurality of templates includes a concept and a relationship from a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities. The plurality of entities include concepts and instances. The template is transmitted to a client computer, and a statement is received from the client computer. The statement includes an instantiation of the template. A knowledge base is queried using the statement to generate a result listing identifying an item in the knowledge base. The knowledge base identifies a plurality of items. Each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model.

Abstract: A system and method for information retrieval are presented. A natural language query is received from a client computer. The natural language query is analyzed to identify a plurality of terms, and a relationship between a pair of terms in the plurality of terms is determined using a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities for a knowledge domain. A triple statement is constructed using the relationship between the pair of terms, and a query is executed against a knowledge base using the triple statement to generate a set of results. The knowledge base identifies a plurality of items, each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model. The set of results are transmitted to the client computer.

Abstract: A system and method for information retrieval are presented. A natural language query is received from a client computer. The natural language query is analyzed to identify a plurality of terms, and a relationship between a pair of terms in the plurality of terms is determined using a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities for a knowledge domain. A triple statement is constructed using the relationship between the pair of terms, and a query is executed against a knowledge base using the triple statement to generate a set of results. The knowledge base identifies a plurality of items, each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model. The set of results are transmitted to the client computer.

Abstract: An information retrieval system and method are presented. A template is retrieved from a template repository. The template repository stores a plurality of templates. Each of the plurality of templates includes a concept and a relationship from a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities. The plurality of entities include concepts and instances. The template is transmitted to a client computer, and a statement is received from the client computer. The statement includes an instantiation of the template. A knowledge base is queried using the statement to generate a result listing identifying an item in the knowledge base. The knowledge base identifies a plurality of items. Each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model.

Abstract: A system and method for information retrieval system are presented. A graph generation module is configured to output, to a client computer, a graph depicting a first arrangement of a subset of a plurality of entities of a knowledge model, the graph depicting a relationship between ones of the subset of the plurality of entities. A node selection reception module is configured to receive, from the client computer, a selection of at least one of the subset of the plurality of entities and an associated action, wherein, when the associated action is of a first type, the graph generation module is configured to output, to the client computer, a second graph depicting a second arrangement of a second subset of the plurality of entities of the knowledge model using the selected at least one of the subset of the plurality of entities.

Abstract: A system and method for information retrieval are presented. A first query is executed against a knowledge base using a natural language query to generate a result set. The knowledge base identifies a plurality of items, each associated with at least one annotation identifying at one of a plurality of entities in a knowledge model that defines a plurality of entities and interrelationships between one or more of the plurality of entities for a knowledge domain. The result set identifies a first set of items in the knowledge base. A graph of one or more of the entities in the knowledge model database is generated using a plurality of terms from the result set and the natural language query. A selection of one of the entities in the graph can be received from the client computer and used to restrict the number of items in the result set.

Abstract: A system and method for information retrieval are presented. A natural language query is received from a client computer. The natural language query is analyzed to identify a plurality of terms, and a relationship between a pair of terms in the plurality of terms is determined using a knowledge model. The knowledge model defines a plurality of entities and interrelationships between one or more of the plurality of entities for a knowledge domain. A triple statement is constructed using the relationship between the pair of terms, and a query is executed against a knowledge base using the triple statement to generate a set of results. The knowledge base identifies a plurality of items, each of the plurality of items is associated with at least one annotation identifying at one of the entities in the knowledge model. The set of results are transmitted to the client computer.