Abstract: Electronic documents are classified and compared according to their temporal qualities. The content of a document relating to an event is analyzed to identify temporal components. These components can be compared with corresponding counterparts in other documents to identify a relative temporal order. The invention can be used in environments such as automated news aggregators, search engines, and other electronic systems which compile information having temporal qualities.

Abstract: A method for filtering content of a social network comprising a plurality of users. The method includes the steps of: identifying one or more relationships among the plurality of users of the social network; determining a strength of each of the identified one or more relationships among the plurality of users of the social network; determining, based at least in part on a determined strength, a reputation value for one or more of the plurality of users of the social network; detecting manipulated social media content using at least one of the identified relationships, determined strengths, and reputation values; categorizing the detected manipulated social media content into one or more categories, wherein the categorization is based at least in part on a confidence level of the detected manipulation; and filtering, based at least in part on said categorization, the detected manipulated social media content.

Abstract: An analytical framework and modeling process for assessing salinity contamination of soil ecosystems in geographical areas related to oil and gas production sites combines detection and monitoring of unplanned saltwater releases from such production activities with soil impact prediction. The analytical framework and modeling process enables an assessment of risks associated with saltwater disposal from drilling operations to the surrounding environment and the impact on soils, aquifers, rangeland, cropland, and adjoining areas by monitoring water movement and other soil conditions, and generating predictive output data for landowners, farmers, oil and gas production site operators, governmental regulators, and other end users for contamination mitigation and agricultural activities.

Abstract: Systems and methods are provided for classifying a search query. A first group of query classifiers can be used to evaluate a query relative to various subject matter domains. The evaluation results from the first group of domain classifiers can then be used by a second group of meta-classifiers. The meta-classifiers are based on non-linear classification models. The meta-classifiers are associated with meta-classifier categories that may correspond to a domain or that may correspond to a plurality of domains. The assigned meta-classifier category for a query can be used in any convenient manner, such as by triggering additional uses of the search query to match images or other alternative types of documents, or such as by allowing a subject matter domain to be assigned to the query.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for finding person names in electronic resources. In one embodiment, a search query is received. Electronic resources are identified satisfying the search query. A plurality of person names is identified in the resources, wherein each person name is associated with at least one of the resources. A subset of person names is selected from the plurality of person names based on a predetermined metric configured to identify a relative importance of at least one of the person name or resource. A listing of the subset of person names adapted for presentation on a user interface is generated. In certain aspects, multiple person identities can be identified as being associated with person names in the listing. The listing can include resources associated with one of the person identities corresponding to a particular person name in the listing.

Abstract: One or more techniques and/or systems are provided for mapping content to a carousel interface in a manner that allows a user to more intuitively navigate through and/or interact with such content. The carousel interface may be associated with a domain (e.g., a map directions domain, a news domain, etc.). One or more categories associated with the domain may be identified (e.g., a sports news category, a health news category, etc.). In one example, entities (e.g., a Professional Sports Team and/or other proper nouns) and/or topics (e.g., 2012 Olympics) may be identified for respective categories. In this way, content associated with the one or more categories, entities, and/or topics may be retrieved and/or populated within one or more carousels of the carousel interface in an intuitive manner (e.g., sports articles may be populated within a sports carousel, health articles may be populated within a health carousel, etc.).

Abstract: A system and for providing reference documents as a suggestion for classifying uncoded documents is provided. A reference set of electronically stored information items, each associated with a classification code, is designated. Clusters of uncoded electronically stored information items are designated. One or more of the uncoded electronically stored information items from at least one cluster is compared to the reference set. At least one of the electronically stored information items in the reference set is identified as similar to the one or more uncoded electronically stored information items. The similar electronically stored information items are injected into the at least one cluster. Relationships are visually depicted between the uncoded electronically stored information items and the similar electronically stored information items in the at least one cluster as suggestions for classifying the uncoded electronically stored information items.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a search query; generating search results based on the search query; determining that a number of the search results is greater than a threshold; determining a category for each of the search results from among a plurality of categories; and transmitting the search results with instructions to display each of the search results based on its determined category.

Abstract: A method and system for detecting an event from a social stream. The method includes the steps of: receiving a social stream from a social network, where the social stream includes at least one object and the object includes a text, sender information of the text, and recipient information of the text; assigning said object to a cluster based on a similarity value between the object and the clusters; monitoring changes in at least one of the clusters; and triggering an alarm when the changes in at least one of the clusters exceed a first threshold value, where at least one of the steps is carried out using a computer device.

Abstract: Embodiments include a computer-implemented method that includes identifying a candidate parent entity having one or more characteristics indicative of the entity having a parent hierarchical relationship to another entity of an entity set, identifying a candidate child entity set including entities of the entity set that each have one or more characteristics indicative of the entity having a child hierarchical relationship to the candidate parent entity, comparing characteristics of the candidate parent entity to characteristics of an entity of the candidate child entity set to determine whether a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, determining that a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, and updating a hierarchical index to reflect the hierarchical relationship between the candidate parent entity and the entity of the candidate child entity set.

Abstract: A hybrid context information matching approach may produce a customized product catalogue based on the user's context and the mobile device the user is using. A Knowledge Base (KB) and a KB manager, along with various processes perform specific collaborative tasks in order to achieve the overall goal of producing a customized product catalogue. In addition, the effort builds and/or updates the KB. Various contextual inputs are provided from both the user environment and data repositories. Hybrid matching is performed in order to determine optimal search results based on the contextual input provided.

Abstract: A system generates medical knowledge base information by searching at least one repository of medical information to identify sentences including a received medical term. A data processor searches the identified sentences to identify sentences including a medical term different to the received term in response to a predetermined repository of medical terms and excludes sentences without a term different to the received term, to provide remaining multiple term sentences. The data processor groups different terms of individual sentences of the multiple term sentences to provide grouped terms, determines whether a medically valid relationship occurs between different terms of an individual group of terms of the grouped terms by using predetermined sentence structure and syntax rules and outputs data representing grouped terms having a medically valid relationship.

Abstract: A shape classification method based on the topological perceptual organization (TPO) theory, comprising steps of: extracting boundary points of shapes (S1); constructing topological space and computing the representation of extracted boundary points (S2); extracting global features of shapes from the representation of boundary points in topological space (S3); extracting local features of shapes from the representation of boundary points in Euclidean space (S4); combining global features and local features through adjusting the weight of local features according to the performance of global features (S5); classifying shapes using the combination of global features and local features (S6). The invention is applicable for intelligent video surveillance, e.g., objects classification and scene understanding. The invention can also be used for the automatic driving system wherein robust recognition of traffic signs plays an important role in enhancing the intelligence of the system.

Abstract: A system and method of selectively consolidating applications on a machine comprises retrieving resource utilization data for a plurality of applications over a plurality of cycles for designated resource dimensions. A representative utilization profile is calculated on each application for each resource dimension. Load mean and variance values of the applications are calculated for each resource dimension. Each application is assigned to a class based the mean and variance values. A consolidation algorithm is computed on each application for each resource dimension to determine if resource consumption of the consolidated applications potentially exceed an available capacity in a machine.

Abstract: Certain example embodiments relate to techniques for analyzing documents. A plurality of documents/document portions are imported into a database, with at least some of the documents/document portions being structured and at least some being unstructured. The imported documents/document portions are organized into one or more collections. A selection of at least one of the one or more collections is made. An index of words and/or groups of words is built (and optionally refined in accordance with one or more predefined rules) based on each of the document or document portion in each selection. A document-word matrix is built (and optionally weighted using a semantic approach), with the matrix including a value indicative of a number of times each word and/or group of words in the index appears in each document/document portion. One or more clusters of documents are generated using the document-word matrix.

Abstract: Provided is a related document search system which can provide supplementary information showing a related content together with a related document related to a predetermined document.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: A computer readable storage medium includes executable instructions to retrieve a dataset from a data source, where the dataset includes a first set of categories. A data structure that represents the dataset is built. A first set of merit values for the first set of categories is calculated. The first set of categories is ordered based on a criterion. The first set of categories is returned.

Abstract: Methods and systems are disclosed for tracking quality measures in abstracted documents. Embodiments include, determining, based on the abstracted content, a quality measure category, obtaining a quality measure definition corresponding to a quality measure included in the determined quality measure category, determining, based on keywords corresponding to the criterion, whether a portion of the abstracted content satisfies a criterion, recording, in association with the criterion, a reference to the portion of the abstracted content that satisfies the criterion; and selectively generating, a report including the query corresponding to the criterion, a query response, and the portion of the abstracted content satisfying the criterion.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The present disclosure describes a method and system called “Universal Learner (UL),” which provides a unified framework to understand multimedia signals. The UL utilizes the loosely annotated multimedia data on the Web, analyses it in various signal domains, such as text, image, audio and combinations thereof, and builds an association graph called the “Multimedia Brain,” which basically comprises visual signals, audio signals, text phrases and the like that capture a multitude of objects, experiences and their attributes and the links among them that capture similar intent or functional and contextual relationships.

Abstract: Systems and associated methods for clustering a plurality of nodes based on connectivity among the plurality of nodes, determining relevant content of the clusters, and applying knowledge regarding the relevant content are described. The nodes can include for example web-based documents such as web pages. The clusters can include for example groups of web pages that are linked together, as via hyperlinks. The relevant content can include one or more topics associated with the web page, as for example determined via text mining. Applying the knowledge regarding the relevant content can include for example using the one or more topics associated with the web pages to augment search results and/or conduct contextual advertising.

Abstract: Systems and methods for data classification and novel data class detection are provided. In one illustrative embodiment, a system or method for detecting a novel class includes receiving a data stream comprising a plurality of data points, and identifying a set of filtered outliers, in the plurality of data points, that are outside of a decision boundary. A cohesion and a separation for the set of filtered outliers may be determined. A novel class may be detected using the cohesion and the separation of the set of filtered outliers, and the novel class may include the set of filtered outliers.

Abstract: Apparatus, systems, and methods may operate to access individual lines of information included in a file stored in an electronic storage medium, to detect the existence of data clusters in the file based on neighboring cell content in a horizontal direction (corresponding to the individual lines), and in a vertical direction (orthogonal to the horizontal direction), to identify at least some of the data clusters as being associated with predefined table types (comprising vertical tables, horizontal tables, or cross tables), to merge some of the data clusters into section tables having common properties, and to transform the tables resulting from the merging activity, as well as remaining un-merged data clusters, into a single flat table. The stored file may comprise a spreadsheet file. Additional apparatus, systems, and methods are disclosed.

Abstract: A method and system for generating a taxonomy for documents from tag data are provided. The method includes obtaining tag data in the form of tags on documents with tag weightings for a document and clustering the tags using the tag weightings for documents, wherein each cluster is an identified subject. The documents are associated with each identified subject and the subjects are compared to identifying relationships between subjects to build a taxonomy of subjects. A tag weighting for a document is the number of times the tag is applied to the document with a user rating of the relevance of the tag to the document. The steps are carried out automatically without user intervention.

Abstract: In a data storage and retrieval system wherein data arranged in nodes is stored and retrieved in pages, each page comprising a cluster of nodes, a method comprising: monitoring ongoing data retrieval to find retrieval patterns of nodes which are retrieved together and to identify changes in said retrieval patterns over time; and periodically reclustering the data nodes among said pages dynamically during usage of the data to reflect said changes, so that nodes more often retrieved together are migrated to cluster together and nodes more often required separately are migrated to cluster separately, thereby to keep small an overall number of page accesses of said data storage and retrieval system during data retrieval despite dynamic changes in patterns of data retrieval.

Abstract: The invention provides a method and system for hierarchical search retrieval. The method includes performing a text search on a hierarchy data structure of information. Forming a limited size hierarchy data structure using the search results. Assigning a location number for each search result in the hierarchy data structure. Sorting the hierarchy data structure. Clustering the sorted hierarchy data structure by categorizing the search results in the hierarchy data structure into groups that are related based on proximity. Limiting a hierarchical depth for each group in the clustered hierarchy data structure based on a configurable depth value to reduce hierarchical results for presentation. Providing the clustered hierarchical data structure as a list of search results as output.

Abstract: This invention relates to a method and device for computer system performance analysis. All instructions are split into clusters based on significant offset gaps in top-down processing steps. Comments on instruction clusters can be generated automatically or can be edited manually. The comments can be shared among users for the achievement of portability. Significant clusters can be recognized as hotspots based on predetermined metrics.

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: A method of selecting candidates for data cluster duplication that can be used as an alternative or as an addition to existing duplication techniques. The method determines a read temperature of a data cluster. If the read temperature of the data cluster exceeds a threshold value, a write temperature of the data cluster is determined. If the write temperature of the data cluster is below a threshold value the cluster is selected for duplication.

Abstract: Methods and systems are described for a geographically defined platform. In one embodiment, a block is divided into one or more partitioned blocks comprising geographically proximate street addresses. Residents whose street addresses are located within the same partitioned block may contribute and view resident-generated content through a spatial platform. Further, contiguous blocks may elect to combine with each other and a partitioned block may elect to separate from the larger block that comprises it.

Abstract: Embodiments of the invention provide systems and methods for analyzing sequential data. Analyzing the sequential data can include grouping or clustering data that are similar in some way, e.g., similar ranges of quantities, similar categories, etc. More specifically, a method for hierarchical clustering of sequential data can comprise creating a dotplot of the sequential data. The dotplot can represent a plurality of sequences within the sequential data. A number of clusters represented by the plurality of sequences can be initialized, e.g., one cluster per sequence. A pair of sequences of the plurality of sequences having a longest sequential match can be identified, e.g., based on a line fitting technique, and merged into a single cluster. Identifying a pair of sequences of the plurality of sequences having a longest sequential match and merging the identified pair of sequences into a single cluster can be repeated until a single cluster remains.

Abstract: Methods and apparatus teach a digital spectrum of a data file. The digital spectrum is used to map a file's position in multi-dimensional space. This position relative to another file's position reveals closest neighbors. Certain of the closest neighbors are grouped together to define a set. Overlapping members in the groups may be further differentiated from one another by partitioning. An optimized partition of set S of N overlapping groups yields a maximum strength for groups and members in that partition. Among other things, the optimized partition includes relative strengths of every individual member in every possible partition and weighting functions applied to the relative strengths and to subgroups of files within the partitions.

Abstract: The present invention provides a method, system and apparatus for categorizing information in a user-defined hierarchical category structure. Association of the information with a category additionally results in categorization of the information in all superior parental categories that are linked to the category. The present invention is also capable of generating metrics reports using the categorized information.

Abstract: Newly created personal classes can be incorporated into classification of a content item, step 201. A first set of content item are manually classified, step 203 to define the newly created personal class such that the class can be incorporated for automatically classifying further content items.

Abstract: Systems and methods are presented for retrieving records from a database and presenting them to a user through a timely and efficient query restricting process. The query request is then modified through the use of a determined partitioning field and a modified query which partitions the field relative to a partitioning value. Records are retrieved from the database. A small set of records is presented to the user, as is a prompt to retrieve more records. An application which receives query requests determines: restricting fields, partition size and whether or not the partition is within a predetermined range. The application returns a data set and receives requests for more records. These systems and methods provide a storage efficient solution that is particularly useful for maintaining a time efficient user response for a dynamic database.

Abstract: A computerized method of representing a dataset with a taxonomy includes obtaining a dataset containing a plurality of records; initializing a folder-set containing a plurality of folders; assigning labels to folders within the folder set; and classifying the plurality of records into the plurality of folders according to a predetermined entropic similarity condition.

Abstract: Classification of objects using the best boolean expression that represents the most optimal combination of the underlying features is disclosed.

Abstract: A method for analyzing predefined subject matter in a patent database being for use with a set of target patents, each target patent related to the predefined subject matter, the method comprising: creating a feature space based on frequently occurring terms found in the set of target patents; creating a partition taxonomy based on a clustered configuration of the feature space; editing the partition taxonomy using domain expertise to produce an edited partition taxonomy; creating a classification taxonomy based on structured features present in the edited partition taxonomy; creating a contingency table by comparing the edited partition taxonomy and the classification taxonomy to provide entries in the contingency table; and identifying all significant relationships in the contingency table to help determine the presence of any white space.

Abstract: A system and method for clustering unstructured documents is provided. Documents having terms with frequencies of occurrence that satisfy upper and lower edge conditions are selected. Concepts are generated for the selected documents. The selected documents are grouped into clusters of the documents. A weight for each of the clusters is evaluated. A similarity value is determined from the frequencies of occurrence for at least one of the terms from the concepts and the cluster weights for each selected document. Each selected document is assigned into one such cluster based on the similarity value of the selected document.