2756 results about "Knowledge level" patented technology

Mobile systems and methods that overcomes the deficiencies of prior art speech-based interfaces for telematics applications through the use of a complete speech-based information query, retrieval, presentation and local or remote command environment. This environment makes significant use of context, prior information, domain knowledge, and user specific profile data to achieve a natural environment for one or more users making queries or commands in multiple domains. Through this integrated approach, a complete speech-based natural language query and response environment can be created. The invention creates, stores and uses extensive personal profile information for each user, thereby improving the reliability of determining the context and presenting the expected results for a particular question or command. The invention may organize domain specific behavior and information into agents, that are distributable or updateable over a wide area network. The invention can be used in dynamic environments such as those of mobile vehicles to control and communicate with both vehicle systems and remote systems and devices.

A highly mobile, ambient computing environment is disclosed for serving a knowledge worker away from the their desk. The present invention allows a knowledge worker to get increased leverage from personal, networked, and interactive computing devices while in their car, airplane seat, or in a conference room with others. An Open Agent Architecture is used to incorporate elements such as GPS agents, speech recognition, and opportunistic connectivity among meeting participants. Communication and cooperation between agents are brokered by one or more facilitators, which are responsible for matching requests, from users and agents, with descriptions of the capabilities of other agents. It is not generally required that a user or agent know the identities, locations, or number of other agents involved in satisfying a request, and relatively minimal effort is involved in incorporating new agents and “wrapping” legacy applications. Extreme flexibility is achieved through an architecture organized around the declaration of capabilities by service-providing agents, the construction of arbitrarily complex goals by users and service-requesting agents, and the role of facilitators in delegating and coordinating the satisfaction of these goals, subject to advice and constraints that may accompany them.

A search engine provides intelligent multi-dimensional searches, in which the search engine always presents a complete, holistic result, and in which the search engine presents knowledge (i.e. linked facts) and not just information (i.e. facts). The search engine is adaptive, such that the search results improve over time as the system learns about the user and develops a user profile. Thus, the search engine is self personalizing, i.e. it collects and analyzes the user history, and / or it has the user react to solutions and learns from such user reactions. The search engine generates profiles, e.g. it learns from all searches of all users and combines the user profiles and patterns of similar users. The search engine accepts direct user feedback to improve the next search iteration One feature of the invention is locking / unlocking, where a user may select specific attributes that are to remain locked while the search engine matches these locked attributes to all unlocked attributes. The user may also specify details about characteristics, provide and / or receive qualitative ratings of an overall result, and introduce additional criteria to the search strategy or select a search algorithm. Additionally, the system can be set up such that it does not require a keyboard and / or mouse interface, e.g. it can operate with a television remote control or other such human interface.

An intelligent home automation system answers questions of a user speaking “natural language” located in a home. The system is connected to, and may carry out the user's commands to control, any circuit, object, or system in the home. The system can answer questions by accessing the Internet. Using a transducer that “hears” human pulses, the system may be able to identify, announce and keep track of anyone entering or staying in the home or participating in a conversation, including announcing their identity in advance. The system may interrupt a conversation to implement specific commands and resume the conversation after implementation. The system may have extensible memory structures for term, phrase, relation and knowledge, question answering routines and a parser analyzer that uses transformational grammar and a modified three hypothesis analysis. The parser analyzer can be dormant unless spoken to. The system has emergency modes for prioritization of commands.

This invention involves a virtual environment created through the combination of technologies. The invention employs the knowledge and experience of a Personal Assistant or Host, created through Artificial Intelligence applications, which assists and guides the user of the environment to products and / or services that they will most likely be interested in purchasing or requiring. The intelligent assistant's choices are based on its experiences with the specific user. The intelligent assistant communicates with the user by means of a speech recognition and speech synthesis device. This invention is an easy to use virtual reality environment that takes advantage of existing technologies and global communications networks such as the Internet without requiring any given degree of computer literacy. This invention includes a virtual intelligent assistant for each user which adapts to its user as it provides individualized guidance. The intelligent assistant or avatar projects human-like features and behaviors appropriate to the preferences of its user and appears as a virtual person to the user.

A method, system and computer program product for assessing information security interviews users regarding technical and non-technical issues. In an embodiment, users are interviewed based on areas of expertise. In an embodiment, information security assessments are performed on domains within an enterprise, the results of which are rolled-up to perform an information security assessment across the enterprise. The invention optionally includes application specific questions and vulnerabilities and / or industry specific questions and vulnerabilities. The invention optionally permits users to query a repository of expert knowledge. The invention optionally provides users with working aids. The invention optionally permits users to execute third party testing / diagnostic applications. The invention, optionally combines results of executed third party testing / diagnostic applications with user responses to interview questions, to assess information security. A system in accordance with the invention includes an inference engine, which may include a logic based inference engine, a knowledge based inference engine, and / or an artificial intelligence inference engine. In an embodiment, the invention includes an application specific tailoring tool that allows a user to tailor the system to assess security of information handled by a third party application program.

A method and system for providing context information, systems, and actions for a range of information technology platforms and interfaces. Context includes the aggregate knowledge about a user's situation and intent. Included in the system are tiers of features for enabling context awareness, including a collection tier, analysis tier, and action / effect tier. Information relating to entities, which are the elements that are included in the system, such as users and communication devices, along with states and relationships, is identified and accessed by a context engine, which obtains the information from sensors and interpreters for the information. In one application tier, the context engine is used with any set of entities, states, and relationships. Another application tier, referred to as "context packs," includes preset sets of entities, states, and relationships identified for predetermined applications.

Systems and method for enhancing search functionality provided to a user. In certain aspects, a query processing engine automatically decomposes queries into constituent units that are related to concepts in which a user may be interested. The query processing engine decomposes queries into one or more constituent units per query using statistical methods. In certain aspects, no real world knowledge is used in determining units. In other aspects, aspects of world and content knowledge are introduced to enhance and optimize performance, for example, manually using a team of one or more information engineers.

The invention refers to digital interactive games operable from specific terminals, video game consoles, personal computers, cell phones, digital interactive television, even when they include an initial bit of chance for their usual development, in order to incorporate the possibility to get a prize (including cash payments), besides of simply diversion. It comprises the incorporation of at least one random resource capable of sustaining a mathematical balance between winners and losers equivalent to that governing games of pure chance, keeping the condition that, for the resolution of each game, it requires the participation of the person, his / her with and his / her visual, motor, spatial, and linguistic skills, besides to his / her knowledge. The incorporated random resource is managed by a probabilistic balance system that ensures the proper ratio between winners and losers in terms of the predetermined “payout”. The incorporated random resource could be either a lottery of maximum results including the previous draw of the maximum result the player can reach (although he / she plays it perfectly), or a lottery of levels of difficulty that draws the level of difficulty set for each game between a maximum level (virtually impossible to overcome) and a minimum level (very easy to overcome), or a combination of both of them.

A system and method for generating context vectors for use in storage and retrieval of documents and other information items. Context vectors represent conceptual relationships among information items by quantitative means. A neural network operates on a training corpus of records to develop relationship-based context vectors based on word proximity and co-importance using a technique of “windowed co-occurrence”. Relationships among context vectors are deterministic, so that a context vector set has one logical solution, although it may have a plurality of physical solutions. No human knowledge, thesaurus, synonym list, knowledge base, or conceptual hierarchy, is required. Summary vectors of records may be clustered to reduce searching time, by forming a tree of clustered nodes. Once the context vectors are determined, records may be retrieved using a query interface that allows a user to specify content terms, Boolean terms, and / or document feedback. The present invention further facilitates visualization of textual information by translating context vectors into visual and graphical representations. Thus, a user can explore visual representations of meaning, and can apply human visual pattern recognition skills to document searches.

The present invention relates to field of application and more specifically to analysis of applications for determining security and quality issues. The present invention describes an application analysis system providing a platform for analyzing applications which is useful in finding security and quality issues in an application. In particular, the present invention is composed of an advanced fusion analyzer which gains an understanding of the application behavior by using a multi-way coordination and orchestration across components used in the present invention to build an continuously refine a model representing knowledge and behavior of the application as a large network of objects across different dimensions and using reasoning and learning logic on this model along with information and events received from the components to both refine and model further as well as drive the components further by sending information and events to them and again using the information and events received as a result to further trigger the entire process until the system stabilizes. The present invention is useful in analysis of internet / intranet based web applications, desktop applications, mobile applications and also embedded systems as well as for hardware, equipment and machines controlled by software.

A system for automatically creating and maintaining a database of information utilizing user opinions about subjects, particularly exceptional experiences. Described is an Internet system assisting / motivating a population of users interested in information about certain categories of subjects to automatically maintain the database content and to improve the usefulness and quality of the database information without any substantial management by the website owner-manager. The user opinions are primarily in the form of both comments and ratings about which natural-language terms best describe a particular subject, enabling user searches of the subject database to be by way of preferred such descriptive natural-language terms, which terms are further preferred to be evaluative and approving. Also, a system for automatically creating and maintaining a database of information utilizing user knowledge about sales related subjects. Described is an Internet-based system for assisting / motivating a population of users interested in information about certain categories of sales related subjects to automatically maintain the database content and to improve the usefulness and quality of the database information without any substantial management by the website owner-manager. The user opinions are primarily in the form of both comments and ratings of which sales related subjects best provide assistance in completing a sale.

Methods and systems for creating a knowledge graph that relates terms in a corpus of literature in the form of an assertion and provides a probability of the veracity of the assertion are disclosed herein. Various aspects of the invention are directed to and / or involve knowledge graphs and structured digital abstracts (SDAs) offering a machine readable representation of statements in a corpus of literature. Various methods and systems of the invention can automatically extract, structure, and visualize the statements. Such graphs and abstracts can be useful for a variety of applications including, but not necessarily limited to, semantic-based search tools for search of electronic medical records, specific content verticals (e.g. newswire, finance, history) and general internet searches.

An object management system is providing for managing, cataloging, and discovering various potentially reusable code and data components that exist within an Information Technology (IT) platform, and which each have well-defined interfaces with other components. For each of these re-usable code and data components, an associated software object called an "asset element" is created that describes the associated component. Relationships are created between various asset elements to represent the relationships existing between the software components. Other software objects called "locator elements" are created that each describes an application concept or sub-concept. This application concept or sub-concept is associated with a problem solved by the code and data components within the IT platform. Relationships are created between the various locator elements to correlate the concepts and sub-concepts to software constructs represented by asset elements. The object management system further supports various object discovery tools capable of identifying locator elements associated with a particular concept. These locator elements and the associated relationships may then be efficiently traced to identify related asset elements and the associated software and code constructs. This provides an efficient concept-based search mechanism for the code constructs. Other tools are provided for creating, modifying, and deleting the elements. A model may be used to define the various types of relationships and elements that may exist within the system, thereby simplifying the various tools needed to support element creation, modification, deletion, and traversal.

A knowledge-based natural speech dialogue system includes: (i) a knowledge support system, (ii) a flexible dialogue control system, and (iii) a context information system. Flexibilities of the conversation structure, inherent in mixed-initiative mode for dealing with complex user request, are managed because the knowledge structures involved are represented by additional, powerful knowledge representation tools, and because the context information is retained by more specific data structures, which covers larger temporal scopes by the logic of the conversation, rather than by a fixed locality of the grammar flow. This system provides a simple yet reliable method to compensate for these factors to enable more powerful conversation engines with mixed-initiative capabilities.

A system and method for protecting user privacy using social inference protection techniques is provided. The system executes a plurality of software modules which model of background knowledge associated with one or more users of the mobile computing devices; estimate information entropy of a user attribute which could include identity, location, profile information, etc.; utilize the information entropy models to predict the social inference risk; and minimize privacy risks by taking a protective action after detecting a high risk.

Methods, systems, and articles of manufacture for managing annotations made for a variety of different type data objects manipulated (e.g., created, edited, and viewed) by a variety of different type applications are provided. Some embodiments allow users collaborating on a project to create, view, and edit annotations from within the applications used to manipulate the annotated data objects, which may facilitate and encourage the capturing and sharing of tacit knowledge through annotations. Further, annotations may be stored separate from the application data they describe, decoupling the tacit knowledge captured in the annotations from the applications used to manipulate the annotated data.

An enhanced system for speech interpretation is provided. The system may include receiving a user verbalization and generating one or more preliminary interpretations of the verbalization by identifying one or more phonemes in the verbalization. An acoustic grammar may be used to map the phonemes to syllables or words, and the acoustic grammar may include one or more linking elements to reduce a search space associated with the grammar. The preliminary interpretations may be subject to various post-processing techniques to sharpen accuracy of the preliminary interpretation. A heuristic model may assign weights to various parameters based on a context, a user profile, or other domain knowledge. A probable interpretation may be identified based on a confidence score for each of a set of candidate interpretations generated by the heuristic model. The model may be augmented or updated based on various information associated with the interpretation of the verbalization.

A system and method is disclosed for integrating and accessing multiple data sources within a data warehouse architecture. The metadata formed by the present method provide a way to declaratively present domain specific knowledge, obtained by analyzing data sources, in a consistent and useable way. Four types of information are represented by the metadata: abstract concepts, databases, transformations and mappings. A mediator generator automatically generates data management computer code based on the metadata. The resulting code defines a translation library and a mediator class. The translation library provides a data representation for domain specific knowledge represented in a data warehouse, including “get” and “set” methods for attributes that call transformation methods and derive a value of an attribute if it is missing. The mediator class defines methods that take “distinguished” high-level objects as input and traverse their data structures and enter information into the data warehouse.

A method of encoding knowledge is disclosed, which can be used to automatically detect problems in software application deployments. The method includes accessing a source of knowledge describing a problem known to occur in deployments of a particular software application, and which identifies a plurality of conditions associated with the problem. An encoded representation of the knowledge source is generated according to a predefined knowledge encoding methodology. The encoded representation is adapted to be applied automatically by a computer to analyze data representing a current state of a monitored deployment of the software application to detect whether the conditions and the problem exist therein. In various implementations, the encoded representation of the knowledge can include queries for deployment information, information concerning the relative importance of the conditions to a detection of the problem, and / or logical constructs for computing a confidence value in the existence of the problem and for determining whether to report the problem if some of the conditions are not true. The knowledge source can comprise a text document (such as a knowledge base article), a flowchart of a diagnostic troubleshooting method, and the like. Also disclosed are methods of at least partially automating the encoding process.

A method for fraud detection leverages an existing financial institution's fraud classification functionality, which produces a first level detection, with a “user-centric” classification functionality, which produces a “second” or more fine-grained detection regarding a potentially fraudulent transaction. After passing through an existing (“institution-centric”) fraud detection technique, a transaction that has been identified as potentially fraudulent is then subject to further analysis and classification at the “user” level, as it is the user is presumed to be the best source of knowledge of the legitimate credit card use. Information about the transaction is shared with the consumer, preferably via one or more near real-time mechanisms, such as SMS, email, or the like. Based on the user's response (or lack thereof, as the case may be), one or more business rules in the institution's fraud detection system can then take an appropriate action (e.g., no action, reverse the transaction if complete, deny the transaction if in-progress, or the like).

A virtual assistant learning system is presented. A monitoring device, a cell phone for example, observes user interactions with an environment by acquiring sensor data. The monitoring device uses the sensor data to identify the interactions, which in turn is provided to an inference engine. The inference engine leverages the interaction data and previously stored knowledge elements about the user to determine if the interaction exhibits one or more user preferences. The inference engine can use the preferences and interactions to construct queries targeting search engines to seek out possible future interactions that might be of interest to the user.

The present invention is an improved computational method and system of empirical induction that can be used to arrive at generalized conclusions and make predictions involving longitudinal associations between and among variables and events. Empirical induction is used to gain scientific knowledge, to develop and evaluate treatments and other interventions, and to help make predictions and decisions. The invention, which is distinct from and often complementary to the statistical method, is applied to repeated measures and multiple time-series data and can be used to quantify, discover, analyze, and describe longitudinal associations for individual real and conceptual entities. Major improvements include provisions to define Boolean independent events and Boolean dependent events and to apply analysis parameters such as episode length and episode criterion for both independent and dependent variables, persistence after independent events, and delay and persistence after Boolean independent events. These improvements are in addition to levels of independent and dependent variables, delay after independent events, and provision to quantify benefit and harm across two or more dependent variables. Additional improvements include provisions to quantify longitudinal associations as functions of period or time and to compute values of predictive indices when there are two or more independent variables. Major applications and uses of the invention include data mining, the conduct of clinical trials of treatments for the management or control of chronic disorders, health-effect monitoring, the quantification and analysis internal control in adaptive systems, analyses of serial functional images, analyses of behavior and behavior modification, and use to create computerized devices and systems whose behavior can be modified by experience. The present invention is best implemented on the Internet.

In the present invention, a textual document is syntactically analyzed and knowledge is constructed from a single word or plural words. The knowledge is then marked, from the broken down knowledge (represented by the underscores in FIG. 1) or from a part-of-speech, as a related object (node) or a relation (edge) (represented by ‘n’ or ‘e’ shown in FIG. 1). In other words, in the present invention a textual document is treated as knowledge constructed from a single word or plural words. The knowledge extracted from the textual document is structured to form a knowledge structure (such as a graph structure constituted from nodes and edges). At least one link can be established between each of the knowledge structure elements and a semantically closest concept entry in a hierarchical concept dictionary.

A system and method for representing, storing and retrieving real-world knowledge on a computer or network of computers is disclosed. Knowledge is broken down into permanent atomic “facts” which can be stored in a standard relational database and processed very efficiently. It also provides for the efficient querying of a knowledge base, efficient inference of new knowledge and translation into and out of natural language. Queries can also be processed with full natural language explanations of where the answers came from. The method can also be used in a distributed fashion enabling the system to be a large network of computers and the technology can be integrated into a web browser adding to the browser's functionality.

A system and method for performing domain-specific knowledge based metasearches. A metasearch engine is provided for accessing a searching text-based documents using generic search engines while simultaneously being able to access publication based databases and sequence databases as well as in-house proprietary databases and any database capable of being interfaced with a web interface so as to produce search results in text format. A data mining module is also provided for organizing raw data obtained by unsupervised clustering, simple relevance ranking, and categorization, all of which are done independently of one another. The system is capable of storing previous search data for use in query refinement or subsequent searches based upon the stored data. A search results collection browser may be provided for analyzing current browsing patterns of the user for developing weighting factors to be used in ordering the results of future searches.

A system and method are disclosed which quantify one or more attributes of a finite number of resources for effective management of such resources. Quantifiable attributes possessed by a resource may include skills or functional capabilities possessed by the resources, as examples. A request for service by one or more of the resources is received, and at least one attribute desired by the request is quantified. Based at least in part on the quantified attributes of the resources and the quantified attributes desired by the request, at least one suitable resource for servicing the received request is determined. Most preferably, attributes of resources may be quantified along a scale, such as a scale of 0 to 100. For example, within a telephony call center, attributes possessed by agents, such as language skills or product knowledge may be quantified along such a scale. A request for service may be received, and the attributes of a resource desired by the request are quantified along such a scale. Suitable resources for servicing a request may be determined by evaluating the quantified attributes possessed by the resources and the quantified attributes desired by the request. Thus, “N” number of resource attributes may be quantified and plotted within an N-dimensional space. Additionally, attributes desired by a received request may be quantified and plotted within such N-dimensional space. The distance between the plotted resource attributes and the plotted requests may be calculated to determine at least one suitable resource for servicing the request.

A Natural Language Understanding system is provided for indexing of free text documents. The system according to the invention utilizes typographical and functional segmentation of text to identify those portions of free text that carry meaning. The system then uses words and multi-word terms and phrases identified in the free to text to identify concepts in the free text. The system uses a lexicon of terms linked to a formal ontology that is independent of a specific language to extract concepts from the free text based on the words and multi-word terms in the free text. The formal ontology contains both language independent domain knowledge concepts and language dependent linguistic concepts that govern the relationships between concepts and contain the rules about how language works. The system according to the current invention may preferably be used to index medical documents and assign codes from independent coding systems, such as, SNOMED, ICD-9 and ICD-10. The system according to the current invention may also preferably make use of syntactic parsing to improve the efficiency of the method.