Abstract: Systems and methods for automatically detecting search queries from software documents to validate component searches are provided. An example method includes receiving a number of documents, parsing a number of documents to extract a number of sentences, mapping each of the number of sentences to a number of sections, filtering the number of sentences, consolidating the number of sections and the number of filtered sentences into a summary, partitioning the summary into a first number of sentences, replacing one or more of the number of sentences with one or more paraphrase sentences generated by a machine learning model to generate a second number of sentences, and generating a number of search queries based on the second number of sentences.

Abstract: A system and method generate an ontology of linked resources. The method includes providing a policy comprising at least one logical rule which is to hold across an ontology of linked resources and initializing a set of resources with an initial subset of the set of resources, each resource in the initial subset being identified by a respective link. Each of the resources in the subset is processed, which includes populating the ontology with a corresponding member of a resource class, for a resource that is valid against a schema, asserting the member's class as a class specific to the schema of the validated resource in the ontology and providing a dependency specification for extracting links within the resource, each extracted link identifying one of the set of resources.

Abstract: Certain example embodiments described herein relate to techniques for introducing semantic concepts into complex event processing (CEP) systems and/or methods. In an event processing system, for example, an event bus is configured to receive a stream of events, each having a predefined event type. An event processing agent is configured to execute predefined queries on the events, with each query conforming to a query language, and with the query language being enhanced via a semantic extension corresponding to an ontology. An ontology management component in communication with the event processing agent stores mappings (optionally specified at design time) between concepts of the query language and concepts of the ontology that enhances the query language.

Abstract: A system for implementing a method that provides information to a user in response to a received user query. A natural language analysis generates substrings relevant to the user query. An ontology analysis outputs: terms of an ontology matching the relevant generated substrings; and relationships between the terms. A query analysis analyzes the user query regarding the outputted terms and relationships, including ascertaining whether the user query is more suitable for service than for an information search. If it is so ascertained, then service actions for the user to perform are identified to the user. If it is not so ascertained, then: the user query is refined based on the outputted terms and relationships; a search query is generated based on the refined user query, a search is initiated based on the search query, and results of the search are provided to the user.

Abstract: A system, apparatus, and related methods for the collection, processing, evaluation, transformation, and reporting of individual health care information from diverse information systems and sources. An individual health record (IHR) of the present invention provides a structure for individuals to participate in, and manage, their health and their medical care, while still meeting the needs of health care organizations and caregivers. An IHR object may be formed by obtaining information from diverse health care information systems and sources, and transforming and re-purposing into a coherent account of the individual's overall health and care using a comprehensive health care ontology. As information from various sources is updated or available, the IHR is dynamically updated on a continuous or periodic basis.

Abstract: The present invention relates to a method of computer assisted innovation. The invention provides a method which can automatically generate suggested innovation opportunities which may then be viewed or otherwise communicated to and analysed by a user. The invention provides a method and apparatus for determining innovation opportunities by selecting one or more terms; determining trend data relating to a selected element; determining an innovation likelihood measure for said selected element in dependence upon said trend data; identifying an innovation opportunity in dependence upon said innovation likelihood measure.

Abstract: An assertion management method includes collecting a SameAs assertion from a plurality of assertions; searching the plurality of assertions for any assertion having a first individual of the SameAs assertion as an instance; and creating a new assertion having a second individual of the SameAs assertion as an instance from each found assertion.

Abstract: An extensible offer inventory database of offers in a domain is established. Further, an offer ontology is generated based on the extensible offer inventory database. The offer ontology provides an extensible vocabulary that correlates to categories in the offer inventory database. In addition, offers are automatically located. The offers are also semantically analyzed to generate semantic analysis data. Further, user data is obtained. In addition, an optimal offer match is automatically determined based upon the semantic analysis data and the user data.

Abstract: System and method permit patent mapping. A method may comprise maintaining a database of patent portfolios and a database of patents with each patent stored in the database of patents associated with one or more patent portfolios stored in the database of patent portfolios. A target subject matter to be mapped is identified and a search query associated with the target subject matter is received. Search results are generated to define a first patent portfolio in the database with the search results including one or more patent claims associated with the search query. The one or more patent claims are mapped to a patent concept.

Abstract: Techniques are described for refining the manual classification of assets classified or categorized using the terms of a business glossary. A semantic refinement mechanism is used to refine the manual classification of such assets, as well as subsequently evaluate the refined asset classifications. Further, the refined asset classifications may be used as a training set for a machine learning classifier. That is, should the classification of an asset contributing to a refinement change, the refinement based on that classification may be undone, at least in some cases.

Abstract: A computer implemented method and system for patent mapping comprises maintaining a database of patent portfolios and a database of patents, each patent stored in the database of patents associated with one or more patent portfolios stored in the database of patent portfolios; receiving a search query associated with a first patent portfolio; searching the first portfolio as a function of the search query; generating search results, the search results including one or more patent claims associated with the search query; mapping the one or more patent claims to a patent concept; highlighting any claim terms associated with the patent scope across a number of claims; storing the associations; and displaying the highlighted claim terms to a user when subsequently displaying the one or more mapped patent claims.

Abstract: A computer system and method are provided to promote the creation of a dynamically alterable taxonomy supporting query based database investigations is select fields. The system operates seamlessly and transparent to the underlying system search functions. A query that uses search terms unrecognized by the then extant taxonomy triggers a series of operations that test the new terms and updates the taxonomy as appropriate. To facilitate speed and accuracy, the system creates incentives to promote the enhancement of the taxonomy for an emerging technology.

Abstract: A computing system has a user interface allowing a user to view and input data related to concepts in a knowledge area associated with the user, an observation sub-system to centralize data and to identify a plurality of knowledge concepts, a conceptualization sub-system to generate a plurality of nodes within an ontological mapping, wherein each of the nodes corresponds to a certain one of the plurality of identified knowledge concepts identified by the observation sub-system, a relationship identification sub-system to create relationships between at least some of the plurality of identified knowledge concepts, and attribute affinity weights to the relationships, a change refinement sub-system to modify at least one of the plurality of nodes, affinity weights and relationships based upon information associated with the user, and a non-transitory knowledge store to store the information associated with the user pertaining to a sub-plurality of the plurality of identified knowledge concepts.

Abstract: A computerized project management analytical system and method that develops and manages an ontology that links objects and is capable of being mined. The ontology is comprised of a project ontology framework, a matching engine and a project status matrix that illustrates a multi-relational view of the project status, of confidence levels, or interdiction points and/or positions on project timelines.

Abstract: A system for ontology candidate selection and comparison including a microprocessor and an ontology candidate selection component executing on the microprocessor and configured to compare at least a portion of a plurality of ontology candidates based on a candidate selection rule, and based on said comparison, select from the plurality of ontology candidates a pair of ontologies. The system further includes an ontology similarity component coupled to the ontology candidate selection component and configured to generate a similarity outcome related to the pair of ontologies based on a similarity rule and evaluate at least one of: the candidate selection rule or the similarity rule based on the similarity outcome.

Abstract: Techniques are disclosed for supplying users in an online environment with a safe and effective chat facility. The chat facility is “safe” in the sense that the ability of users to compose inappropriate messages is greatly restricted, while “effective” in the sense that users are still allowed a broad range of expressivity in composing and exchanging chat messages.

Abstract: A system, method, and computer readable medium for applying one or more information retrieval technologies is disclosed for resolving a query. In one embodiment, an exemplary system generates a response using a language analysis module configured to parse a query into elements. This system can also include a rules engine configured to compare a condition of a rule against the elements, where the rule is configured to perform an action to retrieve information. Further, a response generator coupled to said rules engine receives the rule and retrieves the information for presentation to a querier in a portion of a display that adjusts proportionately to the degree of importance of said information.

Abstract: It is a search process, which combines human inputted filters, emotional ratings and tags, select criteria and selection, identified and unidentified sources, and negative filters, for a community based Intranet and Internet combined search and discovery engine, and database management system. It works though set user generated communities [families, clubs, organizations etc.] individually, or joining together to identify, rate, and trust their own Intranet information, and then the external Internet content. Through human participation content is catalogued, and prioritized according to group needs. This brings the emphasis on to human judgement for the end search results.

Abstract: In a method, system, and computer-readable medium having instructions for semantic matching, a configuration for one or more ontologies is determined with an ontology that has one or more concepts and a representation for the one or more concepts, and the configuration has an assignment of concepts to positions and one or more relationships between concepts in accordance with the representation. The configuration is optimized in accordance with one or more constraints, and a constraint has a relationship defined in a representation for an ontology and a judgment on a similarity of a plurality of concepts from the one or more ontologies, and an estimate is calculated for a similarity between a first concept and a second concept using the configuration.

Abstract: Described herein are technologies pertaining to automatically summarizing contents of a dataset and visualizing a summary of the dataset together with summaries of other datasets. A schema that defines the structure and content of a dataset is received, and pre-processing is undertaken on the schema to generate an enriched schema. Portions of the enriched schema are selected to generate a semantic summary of the schema, which is included with at least one exemplary entry of the dataset to generate a summary of the dataset.

Abstract: A method for data access includes defining an ontology (26) pertaining to a given sphere of knowledge. A computer (22) receives a search query generated using the ontology and provides to a user of the computer at least one document in response to the query. The computer receives tags that the user has associated with data elements in the at least one document and automatically updates the ontology responsively to the tags.

Abstract: Techniques for ontology expansion are provided. In one disclosed method, an ontology is first identified. Terms in the ontology are disambiguated to identify term senses. Additional senses are identified using a lexical database. The additional senses are then added to the ontology to generate an augmented or expanded ontology.

Abstract: Mapping and translating reference data from multiple databases using an enterprise ontology. This is achieved by various means, including mapping values of a first database to corresponding fields within the ontology, mapping values of a second database to corresponding fields within the ontology, and determining relationships between the values of the first database and the values of the second database based on their respective mappings to common fields within the ontology.

Abstract: A mining rule database update apparatus using a named entity dictionary and a mining rule combined with an ontology schema includes: a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a mining pattern generation module recognizing terminology from text and converting the terminology into the mining pattern; a named entity and mining rule search module searching for a corresponding named entity and a mining rule from the named entity dictionary and the mining rule database using the recognized terminology and the mining pattern; and a mining rule database update module estimating a relationship name using a named entity of the recognized terminology and the ontology schema, generating a corresponding mining rule, and storing the generated mining rule in the mining rule database depending on a user's selection.

Abstract: A system and method for delivering brand reinforcement via a Human Interactive Proof, or reverse Turing test; said proof comprising a method for restricting access to a computer system, resource, or network to live persons, and for preventing the execution of automated scripts via an interface intended for human interaction. When queried for access to a protected resource, the system will respond with a challenge requiring unknown petitioners to solve a visual puzzle comprising multiple objects before proceeding. The puzzle objects are further associated in such a way as to cause human subjects to discover a strong functional link to a prominently branded object or product, or to associate the use of said object with a favorable outcome. The puzzle objects are assembled into a composite test image which is designed to frustrate machine interpretation but is still easily interpreted by a human being.

Abstract: Among other things, a user can navigate a database of philanthropic charities systematically to select a set of charities of interest, by interactively specifying in any order a succession of one or more (e.g., up to five) different criteria to narrow the selection from more general to more specific. A result of applying each of the criteria is displayed in real time to the user.

Abstract: Relay of information from technical documentation by contact center workers to assist clients is limited by industry standard storage formats and query mechanisms. A method is disclosed for processing technical documents and tagging them against a Telecom Hardware domain ontology. The method comprises classical ontological Natural Language Processing (NLP) approaches to extract information from both text segments and tables, identifying text segments, named entities and relations between named entities described by an existing T-Box. A method for scoring candidate object property assertions derived from text before populating the Telecom Hardware ontology is also disclosed.

Abstract: In one embodiment the present invention includes a computer implemented method of presenting relevant application components to a user of a computer system. The method includes capturing text displayed in open applications, determining key terms in the captured text based on a key terms catalog, and determining potentially relevant components by using the key terms to search a user interface dictionary. The user interface dictionary corresponds to a map between user interface strings and user interface components. The method further includes computing relevance scores for potentially relevant components, and presenting to the user the relevant components that correspond to relevant ones of the potentially relevant components, according to the relevance scores.

Abstract: A method is provided. The method comprises accessing (110) a target database (107) comprising at least one table associated with a first concept or property of a reference ontology (101), defining (120) a data source ontology (104) for a data source (102) comprising a dataset, said data source ontology (104) comprising a second concept or property, wherein said second concept or property is different from said first concept or property, and creating (140) a link between said second concept or property and said first concept or property, said link defining to which table of said target database data of said dataset, associated with said second concept or property, is related.

Abstract: Concept disambiguation is provided for search queries by analyzing search results in conjunction with an ontology of concepts. An ontology of concepts is identified, and at least one document is associated with each concept. The document associated with a concept is representative of the concept and used to generate a concept signature. When a search query is received, it is processed to obtain search results. The search results are used to generate a search results signature, which is compared to the concept signatures to identify one or more concepts that are relevant to the search query.

Abstract: Referring expressions are identified for concepts by analyzing search query and result selection information. An ontology of concepts is identified, and at least one document is associated with each concept. The document associated with a concept is representative of the concept. Search query information from a search engine is analyzed to identify search queries that resulted in user selections of documents associated with the concepts. Referring expressions that refer to the concepts are identified based on the search queries that resulted in user selections of documents corresponding with the concepts. After identifying referring expressions for concepts, search queries may be mapped to referring expressions to identify concepts to which the search queries pertain, and search result pages may be generated based on knowledge of the concepts.

Abstract: An apparatus for information privacy assurance includes a data processing engine to restrict access to data received from a plurality of data sources and to a predefined data relationship query. The data processing engine includes a data input component restricted to receive the data from the plurality of data sources, a data relationship component configured to generate data relationships associated with the data, a query input component restricted to receive the predefined data relationship query associated with the data relationships, a query execution component configured to execute the predefined data relationship query, and a data output component restricted to render a result including information associated with an execution of the predefined data relationship query.

Abstract: A system for harmonized commodity description and coding system (HS) code recommendation includes an ontology editor for creating an HS code ontology based on HS codes of export and import items, and a feature vector processor for extracting feature vectors of a product of a company requesting for an HS code of the product by with reference to the description of the product in response to the request. An HS code recommendation unit extracts one or more HS codes appropriate for the product by comparing the extracted feature vectors with feature vectors of the product searched from a feature vector database. The extracted HS codes are provided to the company requesting for an HS code of the product.

Abstract: The present invention is related to a method for modifying a mapping from at least one application path of a data system to a conceptual path of an ontology system, said application path addressing a part of the structure of the data system and said conceptual path addressing a part of the structure of the ontology system. The method comprises the steps of: detecting a change to a part of the structure of the ontology system one or more of the conceptual paths is addressing; updating the mappings to reflect the change to the part of the structure of the ontology system.

Abstract: In one embodiment, generating an ontology includes accessing an inverted index that comprises inverted index lists for words of a language. An inverted index list corresponding to a word indicates pages that include the word. A word pair comprises a first word and a second word. A first inverted index list and a second inverted index list are searched, where the first inverted index list corresponds to the first word and the second inverted index list corresponds to the second word. An affinity between the first word and the second word is calculated according to the first inverted index list and the second inverted index list. The affinity describes a quantitative relationship between the first word and the second word. The affinity is recorded in an affinity matrix, and the affinity matrix is reported.

Abstract: The present invention is related to a method for populating a data system, comprising the steps of: a. mapping at least one application path of the data system to at least one conceptual path of an ontology system, said application path addressing a parts of the structure of the data system and said conceptual path addressing a parts of the structure of the ontology system; and b. automatically populating the data system at a location addressed by the application path with data values contained in the conceptual path.

Abstract: An enterprise content management federation and integration system integrates a plurality of applications and federates information seamlessly by receiving, by a composite system, a request from a client system. The system then translates, by a manager system, the request from the client system. The manager system performs one or more high level validations and retrieves information from a mapping stored by an ontology modeling system, a plurality of content types, repositories, actions and object types based at least in part on a plurality of attributes including one or more metadata models or attribute models. The manager system then invokes one or more composites based at least in part on the request from the client system and some or all the information retrieved from the mapping.

Abstract: Embodiments of the present invention leverage information of the end-user and personal annotations/tags attached to resources and/or support related thereto (e.g., people, documents, etc.) to provide personalized support. Among other things, these embodiments allow for the mapping of expert “system”-based support to social technology to enable dynamic, localized support. In a typical embodiment, the system will analyze a profile of a user, as well as tags the user has attached to requested computer resources. Based on the profile and the tags, individualized support can be provided automatically.

Abstract: A method for real-time monitoring of changes in a sentiment respective of an input non-sentiment phrase. The method comprises receiving the input non-sentiment phrase and at least one tendency parameter respective of the input non-sentiment phrase; identifying in a data storage at least one of a term taxonomy that includes the input non-sentiment phrase, wherein the data storage contains a plurality of phrases including sentiment phrases, non-sentiment phrases, and a plurality of term taxonomies; computing a sentiment trend for the at least one term taxonomy; monitoring the sentiment trend to detect real-time changes in a direction of the sentiment trend with respect to the at least one tendency parameter; and generating at least a notification when a change in the direction of the sentiment trend with respect to the input tendency parameter has occurred.

Abstract: An apparatus and method for updating a named entity dictionary or a mining rule database using the named entity dictionary and a mining rule combined with an ontology schema is provided. The apparatus includes a named entity dictionary and mining rule database storage module storing the named entity dictionary and a mining rule database; a mining pattern generation module recognizing a terminology from a text and converting the terminology into the mining pattern; a named entity and mining rule search module searching for a corresponding named entity and a mining rule from the named entity dictionary and the mining rule database using the recognized terminology and the mining pattern; and a named entity dictionary update module estimating a named entity of the terminology using the mining rule and storing the estimated named entity of the terminology in the named entity dictionary depending on a user's selection.

Abstract: A system and method are provided for automatically generating systematic reviews of received information in a field of science and technology, such as scientific literature, where the systematic review includes a systematic review of a research field in the scientific literature.

Abstract: A catalog taxonomy organized in a tree-like configuration including at least one first tier product category having at least one first tier attribute associated with products in the first tier category, and a plurality of second tier product categories branching from the first tier product category and defining subcategories, at least one of the plurality of second tier product categories having a second tier attribute associated with products in a subcategory defined by the plurality of second tier product categories, wherein each of the second tier product categories inherits the first tier attribute of the first tier product category from which the plurality of second tier product categories branches. In addition, a system and method utilizing such catalog taxonomy.

Abstract: A dialogue control system that uses an ontology that systematically expresses domain knowledge representing concepts and relationships between concepts to determine questions for a user and implements the questions, and implements a dialogue in accordance with received user answers. One or more dimension-classified ontologies and a basic ontology are stored, a concept from a user response is specified as a condition, and one or a plural number of the dimension-classified ontologies that meet the specified condition are fetched. The content of the fetched dimension-classified ontology/ies is overwritten on the basic ontology, in order according to dimension priorities from the dimension-classified ontology with the lowest dimension priority, and a multidimensional ontology is generated. The dialogue control system uses this multidimensional ontology to control the dialogue.

Abstract: An apparatus and method search for data in a mobile terminal by using an ontology database. A function and data of the mobile terminal are managed in an ontology database. A keyword is received through a search function. Using the ontology database, one or more data related to the inputted keyword is searched. And the searched data is displayed.

Abstract: A semantic search system using a semantic ranking scheme including: an ontology analyzer analyzing ontology data related to a search target to determine a weight value of each property according to a weighing method for property; a semantic path extractor extracting all the semantic paths between resources and query keywords and determining a weight value of each extracted semantic path according to the semantic path weight value determination scheme by using the weight value of each property; a relevant resource searcher traversing an instance graph of ontology based on a semantic path having a pre-set length and weight value of more than an expectation level to search resources that have a semantic relationship with the query keywords and are declared as a type presented in the query; and a semantic relevance ranker selecting a top-k results having the highest rank from among the candidate results extracted by the relevant resource researcher by using a relevance scoring function.

Abstract: Provided are an apparatus for providing a social network service using the relationship of ontology and a method thereof. The apparatus includes: an ontology storage unit storing social ontology defining relationship information between a user and a social network subscriber, service ontology defining position and relationship information of services, and tag ontology defining tag information related to information included in the social ontology and the service ontology; when a service request is inputted from the user, an ontology analysis unit retrieving a tag corresponding to the user's current position and the service request factor by using the relationship of the ontologies stored in the ontology storage unit; a service processing unit extracting the corresponding service on the basis of the retrieved tag information; and a service providing unit providing the user with the extracted service.

Abstract: A method for providing contextual support for a publish-subscribe system includes the steps of receiving a user-defined objective of subscription relating to a topic provided from a subscriber to the publish-subscribe system, and determining one or more topics related to the subscriber provided objective of subscription. The method also includes the steps of filtering through a plurality of feeds related to the subscriber provided objective of subscription fed to the publish-subscribe system from one or more feed sources to provide a filtered list of feeds, aggregating through the filtered list of feeds to provide an aggregated list of feeds, and inferencing through the aggregated list of feeds to determine one or more of the plurality feeds that are relevant to the subscriber provided objective of subscription.

Abstract: A method for stabilizing a knowledge graph includes: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; and selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity. The method further includes computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph.

Abstract: The present invention discloses methods, systems, and tools for evaluating a number of value significance measures of ontological subjects of compositions or networks. The method breaks a composition into its constituent ontological subjects of different orders and builds a participation matrix indicating the participation of ontological subjects of the composition in other ontological subjects, i.e. the partitions, of the composition. Using the participation information of the OSs into each other, an association strength matrix is built from which the value significance measures of the partitions of the composition are calculated. The methods systematically calculate the value significances of the ontological subjects of different orders of the composition. Various systems for implementing the methods and some exemplary applications and services are disclosed.

Abstract: A method transforms unstructured text into structured data in a domain-specific ontology. The method includes recording an input block of text using an information extraction module (IEM), accessing a domain-specific ontology and supplemental data in a knowledge source(s) via the IEM, processing the input text block, and using the IEM to generate a plurality of nodes in the domain-specific ontology. Each node classifies the unstructured text to corresponding objects of interest, thereby transforming the unstructured text into the structured data. An IEM is also provided having a computer device and an algorithm executable thereby to transform unstructured text into structured data in a domain-specific ontology. The IEM is adapted for recording a text phrase using the computer device, accessing and retrieving the domain-specific ontology and supplemental data from a knowledge source(s), and processing the text block using the computer device to generate a plurality of nodes in the domain-specific ontology.