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: Methods and systems for augmenting a token lexicon are presented. In one embodiment, a method comprising identifying a first token from a search request, storing the first token in a lexicon data storage, receiving a character string comprising a second token, wherein the second token is substantially similar to the first token, and parsing the character string using the lexicon data storage to resolve the second token is set forth. According to another embodiment, a method comprising identifying a first token from an internet article, storing the first token in a lexicon data storage, receiving a character string comprising a second token, wherein the second token is substantially similar to the first token, and parsing the character string using the lexicon data storage to resolve the second token is set forth.

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: Methods and systems for improving text segmentation are disclosed. In one embodiment, at least a first segmented result and a second segmented result are determined from a string of characters, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable segmented result is identified from the first segmented result and the second segmented result based at least in part on the first frequency of occurrence and the second frequency of occurrence.

Abstract: Methods and systems for providing relevant content for inactive uniform resource locators are described. One method described comprises receiving at least one request for a web page associated with an inactive URL, providing a first web page comprising at least one of a search field and a suggested search query in response to the at least one request, receiving at least one search query, receiving another request for a web page associated with the inactive URL, selecting content based at least in part on the at least one search query, and providing a second web page comprising the content in response to the another request.

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 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: Methods and systems for selecting a language for text segmentation are disclosed. In one embodiment, at least a first candidate language and a second candidate language associated with a string of characters are identified, at least a first segmented result associated with the first candidate language and a second segmented result associated with the second candidate language are determined, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable language is identified from the first candidate language and the second candidate language based at least in part on the first frequency of occurrence and the second frequency of occurrence.

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: Methods and systems for selecting a language for text segmentation are disclosed. In one embodiment, at least a first candidate language and a second candidate language associated with a string of characters are identified, at least a first segmented result associated with the first candidate language and a second segmented result associated with the second candidate language are determined, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable language is identified from the first candidate language and the second candidate language based at least in part on the first frequency of occurrence and the second frequency of occurrence.

Abstract: Methods and systems for selecting a language for text segmentation are disclosed. In one embodiment, at least a first candidate language and a second candidate language associated with a string of characters are identified, at least a first segmented result associated with the first candidate language and a second segmented result associated with the second candidate language are determined, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable language is identified from the first candidate language and the second candidate language based at least in part on the first frequency of occurrence and the second frequency of occurrence.

Abstract: Methods and systems for selecting a language for text segmentation are disclosed. In one embodiment, at least a first candidate language and a second candidate language associated with a string of characters are identified, at least a first segmented result associated with the first candidate language and a second segmented result associated with the second candidate language are determined, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable language is identified from the first candidate language and the second candidate language based at least in part on the first frequency of occurrence and the second frequency of occurrence.

Abstract: Methods and systems for improving text segmentation are disclosed. In one embodiment, at least a first segmented result and a second segmented result are determined from a string of characters, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable segmented result is identified from the first segmented result and the second segmented result based at least in part on the first frequency of occurrence and the second frequency of occurrence.

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: Methods and systems for improving text segmentation are disclosed. In one embodiment, at least a first segmented result and a second segmented result are determined from a string of characters, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable segmented result is identified from the first segmented result and the second segmented result based at least in part on the first frequency of occurrence and the second frequency of occurrence.

Abstract: Methods and systems for selecting a language for text segmentation are disclosed. In one embodiment, at least a first candidate language and a second candidate language associated with a string of characters are identified, at least a first segmented result associated with the first candidate language and a second segmented result associated with the second candidate language are determined, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable language is identified from the first candidate language and the second candidate language based at least in part on the first frequency of occurrence and the second frequency of occurrence.