Abstract: Systems and methods that determine a meaning of a knowledge item using related information are described. In one aspect, a knowledge item is received, related information associated with the knowledge item is received, at least one related meaning based on the related information is determined, and a knowledge item meaning for the knowledge item based at least in part on the related meaning is determined. Several algorithms and types of related information useful in carrying out such systems and methods are described.

Abstract: A method for advertising on electronic data networks based upon semantic differentiation.

Abstract: Systems and methods that create and edit a network of interconnected concepts are disclosed. In one embodiment, a semantic engine implements a method comprising receiving a primary term representing a first concept to be added to a network of interrelated concepts, receiving at least one related term related to the primary term, receiving at least one relationship between the first concept and a second concept, receiving a strength value associated with the relationship, and adding the first concept to the network.

Abstract: A method for advertising on electronic data networks based upon semantic differentiation.

Abstract: Systems and methods for determining a meaning of a document to match the document to content are described. In one aspect, a source article is accessed, a plurality of regions in the source article are identified, at least one local concept associated with each region is determined, the local concepts of each region are analyzed to identify any unrelated regions, the local concepts associated with any unrelated regions are eliminated to determine relevant concepts, the relevant concepts are analyzed to determine a source meaning for the source article, and the source meaning is matched with an item meaning associated with an item from a set of items.

Abstract: Systems and methods that create and edit a network of interconnected concepts are disclosed. In one embodiment, a semantic engine implements a method comprising receiving a primary term representing a first concept to be added to a network of interrelated concepts, receiving at least one related term related to the primary term, receiving at least one relationship between the first concept and a second concept, receiving a strength value associated with the relationship, and adding the first concept to the network.

Abstract: Systems and methods for compressing indices are described. In one aspect, a plurality of items are selected where each item has an entry in an inverted index and each item entry comprises a listing of articles that the item appears in. At least a first item entry and a second item entry are determined for compression and the second item entry is compressed into the first item entry resulting in a compressed first item entry.

Abstract: Systems and methods that create and edit a network of interconnected concepts are disclosed. In one embodiment, a semantic engine implements a method comprising receiving a primary term representing a first concept to be added to a network of interrelated concepts, receiving at least one related term related to the primary term, receiving at least one relationship between the first concept and a second concept, receiving a strength value associated with the relationship, and adding the first concept to the network.

Abstract: Systems and methods that determine a meaning of a knowledge item using related information are described. In one aspect, a knowledge item is received, related information associated with the knowledge item is received, at least one related meaning based on the related information is determined, and a knowledge item meaning for the knowledge item based at least in part on the related meaning is determined. Several algorithms and types of related information useful in carrying out such systems and methods are described.

Abstract: Systems and methods that determine a meaning of a knowledge item using related information are described. In one aspect, a knowledge item is received, related information associated with the knowledge item is received, at least one related meaning based on the related information is determined, and a knowledge item meaning for the knowledge item based at least in part on the related meaning is determined. Several algorithms and types of related information useful in carrying out such systems and methods are described.

Abstract: Systems and methods for compressing indices are described. In one aspect, a plurality of items are selected where each item has an entry in an inverted index and each item entry comprises a listing of articles that the item appears in. At least a first item entry and a second item entry are determined for compression and the second item entry is compressed into the first item entry resulting in a compressed first item entry.

Abstract: Systems and methods that create and edit a network of interconnected concepts are disclosed. In one embodiment, a semantic engine implements a method comprising receiving a primary term representing a first concept to be added to a network of interrelated concepts, receiving at least one related term related to the primary term, receiving at least one relationship between the first concept and a second concept, receiving a strength value associated with the relationship, and adding the first concept to the network.

Abstract: Systems and methods for compressing indices are described. In one aspect, a plurality of items are selected where each item has an entry in an inverted index and each item entry comprises a listing of articles that the item appears in. At least a first item entry and a second item entry are determined for compression and the second item entry is compressed into the first item entry resulting in a compressed first item entry.

Abstract: Systems and methods that create and edit a network of interconnected concepts are disclosed. In one embodiment, a semantic engine implements a method comprising receiving a primary term representing a first concept to be added to a network of interrelated concepts, receiving at least one related term related to the primary term, receiving at least one relationship between the first concept and a second concept, receiving a strength value associated with the relationship, and adding the first concept to the network.

Abstract: Systems and methods that determine a meaning of a knowledge item using related information are described. In one aspect, a knowledge item is received, related information associated with the knowledge item is received, at least one related meaning based on the related information is determined, and a knowledge item meaning for the knowledge item based at least in part on the related meaning is determined. Several algorithms and types of related information useful in carrying out such systems and methods are described.

Abstract: Systems and methods that determine a meaning of a knowledge item using related information are described. In one aspect, a knowledge item is received, related information associated with the knowledge item is received, at least one related meaning based on the related information is determined, and a knowledge item meaning for the knowledge item based at least in part on the related meaning is determined. Several algorithms and types of related information useful in carrying out such systems and methods are described.

Abstract: Systems and methods for compressing indices are described. In one aspect, a plurality of items are selected where each item has an entry in an inverted index and each item entry comprises a listing of articles that the item appears in. At least a first item entry and a second item entry are determined for compression and the second item entry is compressed into the first item entry resulting in a compressed first item entry.

Abstract: Systems and methods for compressing indices are described. In one aspect, a plurality of items are selected where each item has an entry in an inverted index and each item entry comprises a listing of articles that the item appears in. At least a first item entry and a second item entry are determined for compression and the second item entry is compressed into the first item entry resulting in a compressed first item entry.

Abstract: A method for advertising on electronic data networks based upon semantic differentiation.

Abstract: Systems and methods that detect information and extract information are described. In one aspect, target rules are defined for detection of target hits in an article, including defining a target article region, extraction rules are defined based on the target rules for the extraction of extracts from the article, including an extraction article region, target rules are applied to each target article region of the article to determine target hits, and extraction rules are applied to detect at least one extract from the article based on the determined target hit.