Abstract: A system and method that generates a screenplay from a text of a book for a game play that incorporates artificial intelligence to allow the player to modify/change the story and the system will adjust the story and game play based on the player's modification.

Abstract: A computer implemented method includes accessing narrative data, the narrative data comprising a sequence of words arranged in sentence patterns. The method parses each sentence in a sentence pattern which includes a verb matching a functional type to extract sentence subjects and objects to an event template. The method then stores events in an event data store, each event including sentence data mapped to the event template to create an event record. The method further includes mapping event records to a story rule, each story rule including at least one actor and an action associated with the actor, and the mapping includes storing a story record including the event records organized by time. An output of an analysis of the story record occurs, where the analysis is based on a list of transgression actions and retribution actions, and balances the transgression actions and the retribution actions.

Abstract: A fitments validation system and method for automotive parts are provided in which the fitments vehicles to the parts in a PIM are validated.

Abstract: A computer implemented method which accesses multiple sets of narrative data, each set of narrative data comprising event records mapped to one of a plurality of story rules to create a plurality of story event sequences based on the event records and the story rules. The method compares a first story event sequence and a second story event sequence. The comparison comprises a method for determining a taxonomical distance between elements of narrative data in one set of narrative data to a corresponding element of narrative data in another set of narrative data; and performing an optimal matching between events in two sets of narrative data. The method outputs a similarity result between the sets of narrative data.

Abstract: A system and method for building, maintaining and verifying an ontology are disclosed. The ontology may be build based on a meronymy and a taxonomy. In one example, the generated ontology may be an automotive mechanical systems ontology and the meronymy is a vehicle systems meronymy and the taxonomy is a universal parts taxonomy. The system may utilize consistent lexical derivation of the elements in the generated taxonomy.

Abstract: A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

Abstract: A semiotic square search and/or sentiment analysis system and method are provided. In one implementation, a software implemented document search system and method are disclosed. The system and method may be used to analyze sentiments in various types of data including documents, blogs, text strings, posts, etc . . .

Abstract: A semiotic square search and/or sentiment analysis system and method are provided. In one implementation, a software implemented document search system and method are disclosed. The system and method may be used to analyze sentiments in various types of data including documents, blogs, text strings and posts.

Abstract: A fitments validation system and method for automotive parts are provided in which the fitments vehicles to the parts in a PIM are validated.

Abstract: A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

Abstract: A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

Abstract: A computer implemented method predicting a next event in a sequence of events in a story narrative. The method reads narrative data, the narrative data comprising a sequence of words arranged in sentence patterns. The method extracts event records from the narrative data, the event records ordered to create a story. Mapping event records to a story rule is then performed to create a sequence of story events based on the event records and the story rule. The technology then outputs a first predictive event based on the sequence of story events, the predictive story event generated from at least one predictive method of a plurality of predictive methods. The outputting is repeated for a second predictive method of the plurality of predictive methods to produce a second predictive event.

Abstract: A computer implemented method includes accessing narrative data, the narrative data comprising a sequence of words arranged in sentence patterns. The method parses each sentence in a sentence pattern which includes a verb matching a functional type to extract sentence subjects and objects to an event template. The method then stores events in an event data store, each event including sentence data mapped to the event template to create an event record. The method further includes mapping event records to a story rule, each story rule including at least one actor and an action associated with the actor, and the mapping includes storing a story record including the event records organized by time. An output of an analysis of the story record occurs, where the analysis is based on a list of transgression actions and retribution actions, and balances the transgression actions and the retribution actions.

Abstract: A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

Abstract: A computer implemented method which accesses multiple sets of narrative data, each set of narrative data comprising event records mapped to one of a plurality of story rules to create a plurality of story event sequences based on the event records and the story rules. The method compares a first story event sequence and a second story event sequence. The comparison comprises a method for determining a taxonomical distance between elements of narrative data in one set of narrative data to a corresponding element of narrative data in another set of narrative data; and performing an optimal matching between events in two sets of narrative data. The method outputs a similarity result between the sets of narrative data.

Abstract: A semiotic square search and/or sentiment analysis system and method are provided. In one implementation, a software implemented document search system and method are disclosed. The system and method may be used to analyze sentiments in various types of data including documents, blogs, text strings, posts, etc.

Abstract: A system and method for building, maintaining and verifying an ontology are disclosed. The ontology may be build based on a meronymy and a taxonomy. In one example, the generated ontology may be an automotive mechanical systems ontology and the meronymy is a vehicle systems meronymy and the taxonomy is a universal parts taxonomy. The system may utilize consistent lexical derivation of the elements in the generated taxonomy.

Abstract: A semiotic square search and/or sentiment analysis system and method are provided. In one implementation, a software implemented document search system and method are disclosed. The system and method may be used to analyze sentiments in various types of data including documents, blogs, text strings, posts, etc. . . . .

Abstract: A system and method described in this disclosure seeks to create new ways of defining and mapping relationships between content items in order to create more relevant content recommendations. Semiotic analysis, unlike semantic analysis, looks at how words mean rather than what words mean. Semiotics can define an emotional context for content items, which may be leveraged into content recommendations to users, creating more personalized and meaningful recommendations. The system and method analyze the semiotic context by analyzing the semiotic nature of the content itself through analysis of the writing style or genre of the content item, and the tone in which the content item is written; by analyzing the semiotic nature of the entities extracted from content items; and by analyzing the semiotic nature of the publisher or author who created the content item.

Abstract: A parsing system and method are provided in which the break characters in the document are used to rapidly parse the document and extract one or more key phrases from the document which characterize the document. The break characters in the document may include explicit break characters, such as punctuation, soft stop words and hard stop words. The determination of which phrases in the document are extracted depends upon the type of break character appearing after the phrase in the document. The parser may also be used to parse a foreign language document into one or more phrases.