Abstract: An information processing apparatus including an identifying unit that identifies a group to which content belongs from one or more predetermined groups based on metadata describing descriptions of the content; and a clustering unit that clusters a first set of the contents that is not identified and classifying the first set into a cluster based on the metadata.

Abstract: Embodiments of the present invention provide a method, system, computer program product, or a combination of the foregoing for creating a knowledge management system including an academy system for training and tracking training results of employees in a standardized and centralized location across the channels and sub-channels in an organization. The academy system stores a plurality of training modules, associated with one or more certification programs. The academy system further provides a user training selection interface configured to provide for user selection of one or more of the plurality of training modules. The academy system further provides the user access to the selected training module through an interactive display module interface. The academy system further provides for a user training results interface configured to provide a display of the user training results and stores the user training results of the selected training module in a user training database.

Abstract: Systems and methods for automating and increasing the efficiency of access to data using inheritance of access rules within an organization based upon the relationship of positions within the organization and the roles associated with the positions. In one embodiment, a role structure is used in conjunction with a hierarchical organization structure to allow access rules to be inherited by some of the positions from other positions based upon the relationship of positions within the organization and the roles associated with the positions. Access rules can be applied across equivalent or similar positions, yet differentiated between distinct portions of the organization and the distinct roles associated with the positions. Consequently, particular access rules are not necessarily inherited by all of the positions subordinate to a particular position with which the rule originates, and are not necessarily inherited by all of the positions that are associated with a particular role.

Abstract: A computer-implemented method includes receiving a request for a web service and comparing a description of a behavior of the requested web service to a description of a behavior of an existing web service. The description of the behavior of the requested web service and the description of the behavior of the computing service conform to a description logic. Based on logical rules of the description logic, it is determined that the description of the behavior of the existing computing service is subsumed by the description of the behavior of the requested web service.

Abstract: A system for identifying word patterns in text is conducted in real time and is highly suitable for network and Internet use. The system comprises a semantic network that may be compiled on a local computer or at a remote host and a software text analysis module for receiving the text to be analyzed, parsing the text, submitting the text to the semantic network, and receiving the results. Recognized, words are then examined, together with surrounding words in the text to determine whether the words are part of a word pattern. Word patterns are located at nodes in the semantic network in a hierarchical structure, and certain word patterns correspond to objects of the semantic network. When all word patterns involving a word are located, links are followed to objects corresponding to the word patterns. Several nodes may point to a single object, but each object is represented only once in the semantic network.

Abstract: Techniques are described for performing partition pruning in situations where previous database servers could not. Specifically, techniques are provided for (1) performing partition pruning based on predicates that involve non-prefix subsets of composite partitioning keys, (2) performing partition pruning when a global index access path is used to execute a query, and (3) performing partition pruning when predicates on partitioning columns are OR-ed together. More generally, techniques are described for partition pruning based on a non-contiguous set of not-pruned partitions.

Abstract: This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.

Abstract: A method and computer program product for receiving a search result set including one or more search results, and defining one or more ranking cues based upon, at least in part, ancillary user data. The one or more search results are ranked based upon, at least in part, the one or more ranking cues. The one or more ranked search results are provided to a search user.

Abstract: Embodiments of the present invention provide techniques for generating ontologies. In one embodiment, techniques are provided for automatically generating an ontology based upon input information. The input information may, for example, be in the form of XSD, XML, WSDL, or WSRP, etc. The automatically generated ontology may be encoded in OWL or other RDF-compliant language. A set of inference rules may also be automatically generated using the input information. The automatically generated ontology and the set of inference rules may be stored in a database for further processing.

Abstract: Novel tools and techniques for generating and/or implementing an applied semantic knowledgebase. Some tools allow for data integration into coherent, semantically connected networks and for generation of sets of query-based models describing complex functional relationships as sub-networks. In an aspect, an applied semantic knowledgebase may comprise collections of SPARQL network queries describing a specific set of sub-network relationships and their applicable ranges for each element in the query.

Abstract: Methods, systems, and products are disclosed for characterizing a target system. A query is sent. The query includes an ontology of interest, a predicate, and a scoring algorithm. The predicate describes a membership qualification for a node in the ontology of interest. A response is received comprising a score. The score represents an evaluation of the predicate to metadata associated with the target system. The score represents how well the metadata matches the ontology of interest.

Abstract: A method, system, and apparatus for identifying, describing, integrating, and discovering information events with the unique feature of applicability to and extensibility across event states irrespective of function and or embodiment in one system with one approach, one infrastructure, one architecture, one method, and one principled basis, comprising: a self-mint method for self-service identity; an information architecture; a method to organize everything; a scalable business process for integrating data from different tables and/or from different systems into one combined system; a programming process and language, operating system architecture, and modeling medium; and a search engine and directory to make it all accessible; altogether comprising an infrastructure for a network system.

Abstract: Data structures, systems, methods and computer program products that enable precise information retrieval and extraction, and thus facilitate relational and associative discovery are disclosed. The present invention utilizes a novel data structure termed a “Knowlet” which combines multiple attributes and values for relationships between concepts. While texts contain many re-iterations of factual statements, Knowlets record relationships between two concepts only once and the attributes and values of the relationships change based on multiple instances of factual statements, increasing co-occurrence or associations. The present invention's approach results in a minimal growth of the Knowlet space as compared to the text space and it thus useful where there is a vast data store, a relevant ontology/thesaurus, and a need for knowledge navigation and (relational, associative, and/or other) knowledge discovery.

Abstract: Techniques for implementing policies. In an embodiment, first data is stored in a first data store according to a first schema. A second schema is defined based at least in part on a policy and an ontology. Second data, which includes at least a portion of the first data, is stored in a second data store according to the second schema. Storing the second data is based at least in part on a mapping of the first schema to the second schema. At least a portion of the second data is analyzed and results of the analysis are provided to a user.

Abstract: A programmability mode for interacting with data stores within a document allows real time interaction. Data for structuring information associated with a document, such as document metadata, is maintained in the data store where relationships between different pieces of data are maintained in a location distinct from the surface level view of a document. The data store exposes interfaces to the various pieces of data in the data store for allowing different applications to access and operate on one or more of the data pieces. The pieces of data may be structured according to a markup language such as the Extensible Markup Language (XML), and XML schemas may be associated with each piece of data for allowing the data store to validate the structure applied to the data based on an XML schema associated with a given piece of data.

Abstract: Systems and methods for information retrieval and communication employ a world model. The world model is made up of interrelated entity models, each of which corresponds to an entity in the real world, such as a person, place, business, other tangible thing, community, event, or thought. Each entity model provides a communication channel via which a user can contact a real-world person responsible for that entity model. Entity models also provide feedback information, enabling users to easily share their experiences and opinions of the corresponding real-world entity.

Abstract: A search results page includes multiple search lists generated by multiple clustering operations applied to an initial match set of documents selected based on a user query. A first result list is constructed by clustering a top-n set of documents by primary domain address and sorting based on extrinsic ranking factors such that the first list includes a ranked and ordered list of primary domain linked anchor text. A second result list is constructed by clustering the top-n set of documents based on a unified ranked occurrence of keywords within the top-n set of documents. The generated second list contains a plurality of cluster class references with each of the cluster class reference including a ranked ordered sub-list of the keywords occurring within the top-n set of documents and respectively associated with the cluster class reference, each of the keywords of the ranked ordered sub-lists including linking references to a corresponding one of the top-n set of documents.

Abstract: An index data structure comprises a plurality of index keys for uniquely identifying potential data object context nodes. Each index key is, in turn, associated with one or more potential context nodes. Moreover, the index key has a label that provides semantic content to a user. The index data structure further comprises one or more routing tables associated with each index key that generally include a plurality of path references.

Abstract: A method, system, and computer program product for implementing a community-defined and managed communication network are provided. The method includes creating a profile for a user of the network that includes a user-selected attribute. The method also includes identifying a relationship between the attribute in the profile and data external to the profile. The identification includes analyzing user community-generated descriptors of the attribute and searching the external data for common descriptors. The method further includes initiating an activity responsive to the analysis, which includes one or more of: prompting the user to invite a second user who is not a registered member of the communication network to join the communication network; prompting a third user to evaluate the user with respect to the attribute; and prompting the user to initiate a communication with a fourth user who is a registered member of the communication network.

Abstract: To provide a technique for structuralizing ontology in a prescribed form to a structure to which features of data are reflected. An ontology processing device has a structuralizing device for structuralizing properties of the ontology in the prescribed form generated from a set of instance data containing a combination of a subject, a property, and an object expressed with a character string according to the features of the object, and has a ontology storage device which stores the ontology structuralized by the structuralizing device. With this structure, the properties of the ontology in the prescribed form are corrected or expressed as an ontology structure by reflecting the characteristics of a set of the objects obtained from the data.

Abstract: According to one embodiment, attributes associated with a concept type of a query conceptual graph are received. A potentially conceptually similar term is received from an onomasticon. The potentially conceptually similar term is validated according to the attributes. According to another embodiment, attributes associated with a concept type of a document conceptual graph are received. A potentially conceptually similar term is received from an onomasticon. The potentially conceptually similar term is validated according to the attributes.

Abstract: The invention is in the technological field of digital imaging. More specifically, the invention relates to a method for automatic prediction of words when entering the words of a text associated with an image (6). The object of the invention is a method whereby a terminal (1) connected to a keypad (2) and a display (3) is used for selecting an image (6) and providing automatic assistance by proposing words when inputting text associated with the content or context of the selected image. The invention method is mainly intended to be used to make it quicker and easier to input text associated with an image using a mobile electronic device, such as for example a mobile cellphone or phonecam.

Abstract: There is provided a system and method for an ontological and rules based segmentation engine for networked content delivery. There is provided a segmentation engine for use by a network accessible computing device providing customized content for a user on the network, comprising a user context regarding the user, a content management system for storing content, a controlled vocabulary categorizing content, an ontology using the controlled vocabulary for referencing the content of the content management system, segment definitions grouping users into segments matching content types to controlled vocabulary elements, segment rules using user context to associate with segment definitions, and a segmentation processor. The segmentation processor can receive a content request from the user, and by using the elements of the segmentation engine, determine the segment definitions applicable to the user and provide customized content from the content management system.

Abstract: A method for the use of fractal semantic networks is disclosed, wherein the fractal semantic network contains both semantic units that possess respective information contents as well as link units that describe a relation content that respectively links two semantic units such that the mutual relationship of the two linked semantic units is determined through the relation content. In that case, a knowledge network consists of category units and, as the case may be, additionally of instance units and/or Janus units. For the querying of information, classification and/or selecting of semantic sub-networks in this knowledge network, the networking of semantic units taking into consideration the type, content, composition and/or distance of other semantic units in the respective network environment can be employed. Furthermore, Janus functionality can be employed for the local classification or for the local alteration of the networking of a semantic unit.

Abstract: An Ontological database having a memory for storing data and a data structure stored in the memory that operates with ontological inferencing rules. The ontological database is characterized by a relational database incorporated in the data structure, along with a temporal and a transactional framework imposed upon the ontological inferencing rules.

Abstract: A data construct called a semcard is a semantic (meaning-based) software object including semantic meta-tags and meta-data that describes a target object or thing. A target object can be any type of digital or physical entity or identifier, or it can be tacit knowledge, such as ideas, concepts, processes or other data existing in a user's mind, provided that the user represents this knowledge in the semcard. A semcard embodies information about its own structure—rules, history, state, policies and goals regarding automation, display, access permissions, sharing and other operations of the semcard and any optional target object. It can also represent a semantic link between two semcards, or a semantically typed link or a standard Web hyperlink between a semcard and its referent target. A collection of semcards represents a knowledge network; single semcards, and knowledge networks, can be browsed, shared, searched, disseminated, manipulated, displayed, organized, and stored.