Abstract: A method for rearranging a data segment. The method comprises providing a data segment containing digital content, generating a set of human dependent variables according to a plurality of human related activities, rearranging the data segment according to the set of human dependent variables, and updating a log according to the rearranging. The digital content may be retrieved from the rearranged data segment according to the log.

Abstract: A method and an apparatus for identifying synonym and utilizing such synonym to conduct search is disclosed. The disclosed method includes: obtaining arbitrary two words to be identified; determining whether a shortest edit distance between the two words less than or equal to an edit distance threshold; determining whether the two words to be identified exist in a preset knowledge database, and if an answer is yes then searching a smallest granularity type with highest weight value for each word in the knowledge database; and if the two word have the same smallest granularity type with highest weight value, then determining such two words are synonyms, or non-synonym otherwise. The disclosed techniques greatly improve accuracy of synonym identification and guarantee effect of synonym identification.

Abstract: A system and method for providing generating reference sets for use during document review is provided. A collection of unclassified documents is obtained. Selection criteria are applied to the document collection and those unclassified documents that satisfy the selection criteria are selected as reference set candidates. A classification code is assigned to each reference set candidate. A reference set is formed from the classified reference set candidates. The reference set is quality controlled and shared between one or more users.

Abstract: To reduce the trouble required for creating and editing configuration data composed of pairs of an element names and element values.

Abstract: One embodiment is a data processing apparatus that has a chunk store containing specimen data chunks, a manifest store containing a plurality of manifests, each of which represents at least a part of previously processed data and includes at least one reference to at least one of the specimen data chunks, and a sparse chunk index containing information on only some specimen data chunks. Input data is processed into a plurality of input data segments. Each manifest of the first set has at least one reference to one of said specimen data chunks that corresponds to one of the input data chunks of a first input data segment. Specimen data chunks corresponding to other input data chunks of the first input data segment are identified by using the identified first set of manifests and at least one manifest identified when processing previous data.

Abstract: A size of a posting list is determined as part of searching an inverted index. The posting list is segmented for reading into a plurality of segments based on the size. For example, the segmenting may be performed if the size is larger than a predetermined size. Finally, each of the plurality of segments is read into memory.

Abstract: The present invention relates in general to methods and systems for comparing and maximizing the optimal selection of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, methods and systems are provided that apply topic modeling and similarity metrics to determine the optimal selection. In one embodiment, methods and systems are provided to determine the appropriateness of a set of second data objects to satisfy the requirements of a first data object given interaction attributes. Embodiments may be used to compare mission requirements with potential team members to determine the appropriateness of team members and teams for a given mission based on interaction attributes of the team members and teams.

Abstract: A method and system for automatically ranking product reviews according to review helpfulness. Given a collection of reviews, the method employs an algorithm that identifies dominant terms and uses them to define a feature vector representation. Reviews are then converted to this representation and ranked according to their distance from a ‘locally optimal’ review vector. The algorithm is fully unsupervised and thus avoids costly and error-prone manual training annotations. In one embodiment a Multi Layer Lexical Model (MLLM) approach partitions the dominant lexical terms in a review into layers, creates a compact unified layers lexicon, and ranks the reviews according to their weight with respect to unified lexicon, all in a fully unsupervised manner. When used to rank book reviews, it was found that the invention significantly outperforms the user votes-based ranking employed by Amazon.

Abstract: Social media content items are mapped to relevant time-based media events. These mappings may be used as the basis for multiple applications, such as ranking of search results for time-based media, automatic recommendations for time-based media, prediction of audience interest for media purchasing/planning, and estimating social interest in the time-based media. Social interest in time-based media (e.g., video and audio streams and recordings) segments is estimated through a process of data ingestion and integration. The estimation process determines social interest in specific events represented as segments in time-based media, such as particular plays in a sporting event, scenes in a television show, or advertisements in an advertising block. The resulting estimates of social interest also can be graphically displayed.

Abstract: The present invention provides a method of minimizing accesses to secondary storage when searching an inverted index for a search term. The method comprises automatically obtaining a predetermined size of a posting list for the search term, the predetermined size based on document frequency for the search term, wherein the posting list is stored in secondary storage, and reading at least a portion of the posting list into memory based on the predetermined size. Corresponding computer system and program products are also provided.

Abstract: A clustering and recommendation machine determines that an item is included in a cluster of items. The machine accesses item data descriptive of the item. The machine accesses a vector that represents the cluster and calculates the likelihood that the item is included in the cluster, based on the item variable and the probability parameter. The machine determines that the item is included in the cluster, based on the likelihood. The machine also recommends an item to a potential buyer. The machine accesses behavior data that represents a first event type pertinent to a first cluster of items. The machine calculates a probability that a second event type pertaining to a second cluster of items will co-occur with the first event type. The machine identifies an item from the second cluster to be recommended and presents a recommendation of the item to the potential buyer.

Abstract: A system and for displaying relationships between concepts to provide classification suggestions via inclusion is provided. A set of reference concepts each associated with a classification code is designated. One or more of the reference concepts are combined with a set of uncoded concepts. Clusters of the uncoded concepts and the one or more reference concepts are generated. Relationships between the uncoded concepts and the one or more reference concepts in at least one cluster are visually depicted as suggestions for classifying the uncoded concepts in that cluster.

Abstract: A dispersed storage network includes a dispersed storage device to store data. The dispersed storage device includes a processing module operable to slice a data segment of a data object into data slices, in which the number of data slices corresponds to a number of pillars for storing the data object. The processing module further creates a slice name for each of the data slices. The slice name includes routing information containing a vault identifier that identifies at least one user of the data object and a slice index based on the vault identifier and a pillar identifier that identifies a pillar associated with the data slice. In addition, the slice name includes a source data name containing an identifier of the data object.

Abstract: A system and method for displaying relationships between concepts to provide classification suggestions via nearest neighbor is provided. Reference concepts previously classified and a set of uncoded concepts are provided. At least one uncoded concept is compared with the reference concepts. One or more of the reference concepts that are similar to the at least one uncoded concept are identified. Relationships between the at least one uncoded concept and the similar reference concept are depicted on a display for classifying the at least one uncoded concept.

Abstract: A system and method for displaying relationships between concepts to provide classification suggestions via injection is provided. A reference set of concepts each associated with a classification code is designated. Clusters of uncoded concepts are designated. One or more of the uncoded concepts from at least one cluster are compared to the reference set. At least one of the concepts in the reference set that is similar to the one or more uncoded concepts is identified. The similar concepts are injected into the at least one cluster. Relationships between the uncoded concepts and the similar concepts in the at least one cluster are visually depicted as suggestions for classifying the uncoded concepts.

Abstract: A system and for providing reference documents as a suggestion for classifying uncoded documents is provided. A set of reference electronically stored information items, each associated with a classification code, is designated. One or more of the reference electronically stored information items is combined with a set of uncoded electronically stored information items. Clusters of the uncoded electronically stored information items and the one or more reference electronically stored information items are generated. Relationships between the uncoded electronically stored information items and the one or more reference electronically stored information items in at least one cluster are visually depicted as suggestions for classifying the uncoded electronically stored information items in that cluster.

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: A method and/or system for analyzing data using population clustering through density based merging.

Abstract: A system and for providing reference documents as a suggestion for classifying uncoded documents is provided. Reference electronically stored information items and a set of uncoded electronically stored information items are designated. Each of the reference information items are previously classified. At least one uncoded electronically stored information item is compared with the reference electronically stored information items. One or more of the reference electronically stored information items similar to the at least one uncoded electronically stored information items are identified. Relationships are depicted between the at least one uncoded electronically stored information item and the similar reference electronically stored information items for classifying the at least one uncoded electronically stored information item.

Abstract: A system and method for providing a classification suggestion for concepts is provided. A corpus of concepts including reference concepts each associated with a classification and uncoded concepts are maintained. A cluster of uncoded concepts and reference concepts is provided. A neighborhood of reference concepts in the cluster is determined for at least one of the uncoded concepts. A classification of the neighborhood is determined using a classifier. The classification of the neighborhood is suggested as a classification for the at least one uncoded concept.

Abstract: Methods and structures having and/or implementing integrated steps for use in a planning phase of experimentation, which can allow the researcher to explore the experimental space while reducing the number experiments performed.

Abstract: The present invention relates to an aspect-level news browsing service system and method for mitigating effects of media bias, which group news articles having different aspects on the same event on the basis of aspects, and simultaneously provide grouped news articles to users. The aspect-level news browsing service system may include a user terminal for accessing a news service server over an Internet and receiving aspect-level news article information from the news service server. A news provision server may transmit news article information to the news service server over the Internet. The news service server may extract aspects from the received news article information, classify the news article information based on the extracted aspects, and may transmit the aspect-level news article information to the user terminal depending on the aspects to enable the news article information to be displayed. The Internet may be configured to connect the user terminal to the news service server.

Abstract: A method and a system for navigating data and a storage medium using the method are provided. In the method, a search condition is received to search data conforming to the search condition from a database. If the number of the data conforming to the search condition is greater than a threshold, the data are grouped into a plurality of groups according to a grouping rule. A grouping result is displayed, so as to display a name of each of the groups and a specific number of the data in the each of the groups and not display the other data in the each of the groups.

Abstract: Music content are reproduced in the order of the newest time information that has been registered. A music content database 7 has stored a plurality of music content. Each music content has been stored in the music content database 7 along with a time stamp that is time information that represents a time at which the music content was registered in the music content database 7. A CPU 3 creates play lists corresponding to, for example, tempos. The created play lists are stored in a play list database 8. The CPU 3 selects a play list corresponding to a moving tempo obtained from a tempo detection section 9 and selects music content in the order of the newest time information registered from the music content corresponding to the selected play list. The selected music content are supplied to a decoder and amplification section 12 and reproduced by a head phone 14.

Abstract: Generating a document index comprises: obtaining a document to be indexed; performing a monadic partition operation on the document to obtain a plurality of monadic partitions; and for each monadic partition in the plurality of monadic partitions: determining whether said each monadic partition is a filter character; in the event said each monadic partition is a filter character, forming a polynary partition by combining the monadic partition with at least one other monadic partition adjacent to the monadic partition, and indexing the polynary partition; and in the event that the monadic partition is not a filter character, indexing the monadic partition.

Abstract: A method, system and device for variable or dynamic classification of users, devices, computers, systems, or information are provided, including at least one of means for sensing one or more inputs, including at least one of an event, a parameter, and time; and means for generating a classification or policy for allowing access to information based on one or more of the sensed inputs.

Abstract: An improved system and method for query processing in a distributed column chunk data store is provided. A distributed column chunk data store may be provided by multiple storage servers operably coupled to a network. A storage server provided may include a database engine for partitioning a data table into the column chunks for distributing across multiple storage servers, a storage shared memory for storing the column chunks during processing of semantic operations performed on the column chunks, and a storage services manager for striping column chunks of a partitioned data table across multiple storage servers. Query processing may be performed by storage servers or query processing servers operably coupled by a network to storage servers in the column chunk data store. To do so, a hierarchy of servers may be dynamically determined to process execution steps of a query transformed for distributed processing.

Abstract: A query-centric system and process for distributing reverse indices for a distributed content system. Relevance ranking techniques in organizing distributed system indices. Query-centric configuration subprocesses (1) analyze query data, partitioning terms for reverse index server(s) (RIS), (2) distribute each partitioned data set by generally localizing search terms for the RIS that have some query-centric correlation, and (3) generate and maintain a map for the partitioned reverse index system terms by mapping the terms for the reverse index to a plurality of different index server nodes. Indexing subprocess element builds distributed reverse indices from content host indices. Routines of the query execution use the map derived in the configuration to more efficiently return more relevant search results to the searcher.

Abstract: Provided are systems and methods to create patient log entries using open-ended electronic messaging (e.g. email, text messaging, IM). The systems and methods allow users to update a patient log using widely available communication devices (e.g. cell phones or internet) without the devices needing to have web access and/or to use tailor-made applications. The invention also allows users to update the patient log with limited or no upfront training and describes methods to share the patient data among users using various interfaces. Main system components are: input/output communication interfaces, servers, database, and logic (software) to operate the methods tailored to specific user needs.

Abstract: Disclosed is a method and system for user-centered information search. The user-centered information search may include generating an object as a classification unit of an information search structure and a property of the object, generating a class and determining a property of the class using the object; and detecting a search result corresponding to an information request from a user using at least one of the object, property, and class.

Abstract: A method of displaying an adaptive album art for a portable terminal is provided, which includes confirming whether the album art exists by reading meta data frame that corresponds to at least one sound source data, classifying and storing the sound data by meta data items commonly included in the corresponding meta data information if the album art exists, extracting an image file from the album art of the sound source data classified by meta data items, and matching the extracted image file to a changeable disc album art preset by meta data items to display the matched image.

Abstract: A system and computer-implemented method for grouping medical records implements a multi-level analysis of the records. The level of analysis for each record is determined based upon the time proximity of each record to the defining medical procedure or service (anchor procedure) to be analyzed. Once an anchor procedure is identified, claim records are processed to determine whether any of the records should be grouped with the anchor procedure into a procedure episode group (PEG). First, the date of service for each claim record is identified to determine whether the claim record falls within time window. The claim records falling within the window then are assessed to determine whether each claim record is sufficiently related to the anchor procedure (for example, by determining whether the diagnostic, procedure, or episode treatment group coding of each claim record is associated with the anchor procedure).

Abstract: Method and apparatus for storing data in a reduced redundancy form. Binary Large Objects (BLOBs) are partitioned into subblocks according to a partitioning method, and the subblocks are stored in subblock clusters. Each BLOB is represented as a list of spans of subblocks which identifies a contiguous sequence of subblocks within a cluster. Storage redundancy can be reduced because the spans of two different BLOBs can refer to the same subblocks. An index may be used to map subblock hashes to subblock cluster numbers.

Abstract: Method and apparatus for predicting properties of a target object, in particular, one of an origin and a source, comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.

Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.

Abstract: A computer-based method and apparatus for identifying hazardous materials based on observable physical properties and signs and systems of exposure to the hazardous materials. The observable physical properties are obtained by preprocessing plain language data to obtain normalized descriptors and modifiers pertaining to a plurality of properties and signs and symptoms. The normalized descriptors and signs and symptoms are presented to a user in lists for comparison with a sample in the field. Once a material is identified, information can be obtained from the apparatus which is necessary for response to an incident involving the hazardous material. The preferred embodiments of the invention are particularly useful to responders to a hazardous waste incident.

Abstract: A computer-implemented method and apparatus defines a keyword class vector. A set of seed keywords is determined from a set of keywords and first and second most similar keywords from the set of seed keywords are then determined. A class vector is determined from first and second keyword vectors associated with the first and second most similar keywords. The method and apparatus also classifies a keyword in a keyword class. A similarity for a keyword vector associated with the keyword is determined with reference to a plurality of class vectors, each class vector having an associated class and determines a most similar class vector of the plurality of class vectors from the similarity determination. The keyword is then classified in a most similar class associated with the most similar class vector.

Abstract: A method is disclosed for acting on a plurality of electronic messages. The method includes the step of receiving the plurality of electronic messages. Each of the plurality of electronic messages is then portioned into a plurality of message components. Each of the plurality of message components is then grouped into common-themed sets. Once grouped, the method allows the viewing of one of the common-themed sets to determine an appropriate response to each of the plurality of messages having one of the plurality of message components grouped in the common-themed set.

Abstract: A method of selecting and presenting content based on context-sensitive learned user preferences is provided. The method includes providing a set of content items having descriptive terms. The method includes receiving user input for identifying items and, in response thereto, presenting a subset of items. The method includes receiving user selections of said items and analyzing the descriptive terms of those items to learn the user's content preferences. The method includes determining the context in which the user performed the selections and associating those contexts with the user content preferences learned from the corresponding user selections. The method includes, in response to subsequent user input, determining a context of said subsequent input and selecting and ordering a collection of items based on comparing those items' descriptive terms with the user's learned content preferences associated with the determined context in which the user entered the subsequent input.

Abstract: According to one aspect of the invention, there is provided a method to facilitate generating listing recommendations to a user of a network-based commerce system. In one embodiment, the method includes identifying a term associated with a user interaction in a network-based commerce system. The method further includes generating a recommendation query including the identified term. In addition, the method includes running the recommendation query against a plurality of listings hosted by the network-based commerce system to identify a recommendation. Moreover, the method includes presenting the recommendation to a user of the network-based commerce system.

Abstract: A system comprises a processor-implemented collection module configured to request rating information from a first user relating to a transaction involving the first user and second user in an online transaction processing environment. The requested rating information relates to performance of the second user with respect to the transaction in a plurality of performance categories. A score generator is configured to generate a performance score relating to the second user using the rating information. A communication module is configured to communicate the performance score.

Abstract: An information processing apparatus includes a first position acquiring unit adapted to acquire a position metadata piece from a target data piece, the position metadata piece indicating a position, a second position acquiring unit adapted to acquire position metadata pieces from a plurality of other data pieces different from the target data piece, a target acquiring unit adapted to acquire target metadata pieces other than the position metadata pieces from the other data pieces, an analysis unit adapted to analyze a distribution of the target metadata pieces based on positions indicated by the position metadata pieces acquired from the other data pieces, and an assignment unit adapted to assign to the target data piece a target metadata piece that has a value related to the target data piece, the target metadata piece being selected from among the analyzed target metadata pieces, based on the distribution and the position indicated by the position metadata piece acquired from the target data piece.

Abstract: Methods, systems and software are described for analyzing micro-blog messages to detect abnormal activity of interest. The system includes a clusterer for clustering micro-blog messages received over a first period of time, a classifier for scoring the clustered messages; a knowledge base, a rule generator for generating classification rules from the knowledge base; and a matcher for matching the scored messages to information requests. Methods for operating the system and its components are described.

Abstract: A computer data processing system including a central processing unit configured with a novel integrated computer control software system for the management of data objects including dynamic and automatic organization, linking, finding, cross-referencing, viewing and retrieval of multiple objects regardless of nature or source. The inventive system provides underlying component architecture having an object-oriented database structure and a metadata database structure which is unique in storing only one instance of each object while linking the object to multiple collections and domains by unique metadata links for the grouping into and retrieval from any of the collections. The system employs configurable, extensible attribute/properties of data objects in metadata format, and a truly user-friendly configurable interface that facilitates faster, more unified, comprehensive, useful and meaningful information management.

Abstract: Rights management information is used at least in part in a matching, narrowcasting, classifying and/or selecting process. A matching and classification utility system comprising a kind of Commerce Utility System is used to perform the matching, narrowcasting, classifying and/or selecting. The matching and classification utility system may match, narrowcast, classify and/or select people and/or things, non-limiting examples of which include software objects. The Matching and Classification Utility system may use any pre-existing classification schemes, including at least some rights management information and/or other qualitative and/or parameter data indicating and/or defining classes, classification systems, class hierarchies, category schemes, class assignments, category assignments, and/or class membership.

Abstract: An online reservation system including a fare search engine is described. The system includes a database of published fares, a database of rules attached to the published fares and a fare family solver to categorize the published fares into sets of predefined generic fare families on the basis of the rules attached to the published fares. The fare family solver further includes a generic partitioning fare family database holding the attributes of each predefined generic fare family allowing to determine to which fare family the published fares belong to. The attributes of each predefined generic fare family are first set up by a fare family composer operated by an administrator of the system. The online reservation system allows returning to the end-users of online travel service providers travel solutions categorized in families of fares having various ranges of prices and levels of restrictions attached thereto.

Abstract: A query phrase may be automatically classified to one or more topics of interest (e.g., categories) to assist in routing the query phrase to one or more appropriate backend databases. A selectional preference query classification technique may be used to classify the query phrase based on a comparison between the query phrase and patterns of query phrases. Additionally, or alternatively, a combination of query classification techniques may be used to classify the query phrase. Topical classification of a query phrase also may be used to assist a search system in delivering auxiliary information to a user who entered the query phrase. Advertisements, for instance, may be tailored based on classification rather than query keywords.

Abstract: Systems and methods for generating and using geographic data are disclosed. For example, one method comprises generating and/or identifying an open area map. A route is generated using the open area map. A path segment record and/or a node record is created based on the generated route. The path segment record and/or the node record may be stored in a geographic database.

Abstract: Provided is a database processing system including: a computer for outputting data in response to a received query request; and a storage system including a storage device for storing the data, in which: the storage device stores a plurality of partial indices indicating a storage location of the data; the data stored in the storage device is grouped; and the computer is configured to: receive the query request for the data; acquire one of the plurality of partial indices; specify, based on the query request for the data and the acquired one of the plurality of partial indices, a location at which the requested data is stored; and send a request to acquire the data stored at the specified location to the storage system. Accordingly, in the database processing system, a time period necessary to input and output the data is shortened.

Abstract: The present invention discloses methods, systems, and tools for unified semantic ranking of compositions of ontological subjects. The method breaks a composition to a plurality of partitions as well as 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 a similarity matrix is built from which the semantic importance ranks of the partitions of the composition are calculated. The method systematically enables the calculation the semantic ranks of ontological subjects of different orders of the composition. Various systems for implementing the method and numerous applications and services are disclosed.