Abstract: Connections among two different entities are identified by processing a collection of documents to identify one or more documents that contain co-occurring mentions of each of the two different entities. This relationship may be graphically displayed in a user interface with an icon or the like for each of the two entities, along with a graphical link interconnecting the entities. The graphical link can be an active element of the user interface that responds to user interactions by providing access to evidence within the collection of documents that substantiates the connection between the two entities. In one aspect, a search input form field in a user interface may be used to explicitly request documents that substantiate a relationship between two entities. In another aspect, a user may ground entity mentions by explicitly selecting documents that mention an entity of interest.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: Connections among two different entities are identified by processing a collection of documents to identify one or more documents that contain co-occurring mentions of each of the two different entities. This relationship may be graphically displayed in a user interface with an icon or the like for each of the two entities, along with a graphical link interconnecting the entities. The graphical link can be an active element of the user interface that responds to user interactions by providing access to evidence within the collection of documents that substantiates the connection between the two entities. In one aspect, a search input form field in a user interface may be used to explicitly request documents that substantiate a relationship between two entities. In another aspect, a user may ground entity mentions by explicitly selecting documents that mention an entity of interest.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.

Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.

Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.

Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.

Abstract: Automatic firearm with firing mode selector (6) to change the firing mode from automatic firing mode to semi-automatic firing mode, where the firearm (1) is equipped with a firing mechanism (11) with selection control (37) which enables the firearm (1) to function in closed bolt firing mode or open bolt firing mode, and in automatic firing mode as well as semi-automatic firing mode in both closed and open bolt firing mode.

Abstract: Automatic firearm with firing mode selector (6) to change the firing mode from automatic firing mode to semi-automatic firing mode, wherein the firearm (1) is equipped with a firing mechanism (11) with selection control (37) which enables the firearm (1) to function in closed bolt firing mode or open bolt firing mode, and in automatic firing mode as well as semi-automatic firing mode.

Abstract: A portable storage shelter storing, small vehicles and other items has a base, a support structure, and a shell. The base has a first and a second rail, and a first and second cross bar removably attached between said first and second rails. The support structure comprises a plurality of vertical members slidably received within the rails. The vertical members are each contiguous with shell support means and a second one of said vertical members thereby forming a plurality of substantially U-shaped vertical support members. A means is provided for extendably securing each of the U-shaped support members to one another. Means are provided for attaching the shell to the support structure. U-shaped transitional members are slidably, pivotally attachable to the two rails of the base, thereby permitting the pivotal movement of the shell between an open vertically oriented position and a closed horizontal position.

Abstract: The present invention provides, in one aspect, a method of fabricating a capacitor 615, comprising forming a first electrode 610, placing a dielectric 515 over the first electrode, and locating a second electrode 510 over the dielectric wherein at least one of the first or second electrodes 610, 510 is doped amorphous silicon.

Abstract: An oral hygiene products dispenser stand for storing and dispensing oral hygiene products such as toothbrushes, mouthwash, disposable cups, and dental floss is described. The stand includes a base, a supporting framework for storing and dispensing disposable cups, and a plurality of toothbrush holders. The brush head end of a toothbrush can be placed into a toothbrush holder to be sanitized and dried. The stand serves as an oral hygiene products dispensing station when the base supports a bottle of mouthwash, fluoride rinse or other antiseptic fluid.