Abstract: A bingo gaming system, machine, and method include a main bingo game, a feature bingo game, a main reel game associated with the main bingo game, and a feature reel game associated with the feature bingo game. The main reel game simulates outcomes of the main bingo game. The feature reel game simulates outcomes of the feature bingo game. A feature bingo game may be triggered by a main bingo game outcome. Before the feature bingo game begins, a player may be given an opportunity to select a volatility option for the feature bingo game. The volatility selection may impact the probability of winning the feature bingo game (and/or feature reel game), as well as the reward(s) associated with winning the feature bingo game (and/or feature reel game).

Abstract: A bingo gaming system, machine, and method include a main bingo game, a feature bingo game, a main reel game associated with the main bingo game, and a feature reel game associated with the feature bingo game. The main reel game simulates outcomes of the main bingo game. The feature reel game simulates outcomes of the feature bingo game. A feature bingo game may be triggered by a main bingo game outcome. Before the feature bingo game begins, a player may be given an opportunity to select a volatility option for the feature bingo game. The volatility selection may impact the probability of winning the feature bingo game (and/or feature reel game), as well as the reward(s) associated with winning the feature bingo game (and/or feature reel game).

Abstract: A method is described for providing a named entity classification in a computing system having a processor, comprising the steps of the processor reading, from an LOD (Linking Opening Data) set, an LOD node corresponding to a to-be-classified named entity. The processor also determining a type attribute of the LOD node corresponding to the to-be-classified named entity as a tagged type of the to-be-classified named entity and further reading a candidate type. Finally, the processor computing, based on the tagged type, a possibility of the to-be-classified named entity belonging to the candidate type.

Abstract: A data analyzing method, apparatus, and a method for supporting data analysis includes creating or storing a semantic entity repository, wherein the semantic entity repository includes a structured entity set of entities and properties thereof, reference ranges describing the possible values of the properties, and the mappings between the entities and properties and a data structure of a data warehouse. When aggregating data, the entities, properties, and/or property values to be analyzed are selected from the semantic entity repository, and how to calculate at least one measure is defined. The data corresponding to the selected entities, properties, and property values are loaded from the data warehouse according to the mappings, and the at least one measure as defined is calculated.

Abstract: Example embodiments relate to a mechanism for linking objects to obtain an executable file. In particular, example embodiments include a mechanism that determines a linker order for a plurality of objects included in a version of an executable file and a mechanism that generates a scatter loading file for the version of the executable file, the scatter loading file ordering the plurality of objects using the linker order. Example embodiments also include a mechanism that links the plurality of objects using the scatter loading file to create the version of the executable file.

Abstract: A method and system for computer question-answering. The method includes: receiving a plurality of the questions to be trained, and obtaining a candidate answer set for each question; determining part of the questions to which the candidate answer sets include correct answers, and using first feature sets of the candidate; obtaining a first mathematical model, which is used to compute a first confidence degree that the candidate answer is a correct answer; computing first confidence degrees of the candidate answers of all the questions to be trained, and for each question, extracting a second feature set related to the first confidence degrees and the first feature set; and obtaining a second mathematic model, which is used to compute a second confidence degree that the candidate answer is a correct answer based on the second feature set.

Abstract: Example embodiments relate to a mechanism for linking objects to obtain an executable file. In particular, example embodiments include a mechanism that determines a linker order for a plurality of objects included in a version of an executable file and a mechanism that generates a scatter loading file for the version of the executable file, the scatter loading file ordering the plurality of objects using the linker order. Example embodiments also include a mechanism that links the plurality of objects using the scatter loading file to create the version of the executable file.

Abstract: A method and system for computer question-answering. The method includes: receiving a plurality of the questions to be trained, and obtaining a candidate answer set for each question; determining part of the questions to which the candidate answer sets include correct answers, and using first feature sets of the candidate; obtaining a first mathematical model, which is used to compute a first confidence degree that the candidate answer is a correct answer; computing first confidence degrees of the candidate answers of all the questions to be trained, and for each question, extracting a second feature set related to the first confidence degrees and the first feature set; and obtaining a second mathematic model, which is used to compute a second confidence degree that the candidate answer is a correct answer based on the second feature set.

Abstract: A method and an apparatus for selecting an answer to a natural language question. The method includes: detecting a named entity in the natural language question; extracting information related to an answer from the natural language question; searching in linked data according to the detected named entity; generating a candidate answer according to a search result; parsing the candidate answer according to the information related to the answer; and obtaining a value of a feature of the candidate answer; and evaluating each candidate answer by synthesizing the value of the feature of the candidate answer.

Abstract: A method is described for providing a named entity classification in a computing system having a processor, comprising the steps of the processor reading, from an LOD (Linking Opening Data) set, an LOD node corresponding to a to-be-classified named entity. The processor also determining a type attribute of the LOD node corresponding to the to-be-classified named entity as a tagged type of the to-be-classified named entity and further reading a candidate type. Finally, the processor computing, based on the tagged type, a possibility of the to-be-classified named entity belonging to the candidate type.

Abstract: A fault-tolerant approach for updating a compressed read-only file system in embedded devices using a two-step approach. In the first phase an update package creates an intermediate memory image where the data blocks are independently compressed so that, if needed, the data therein can be decompressed and read without access to any other surrounding data blocks. Then in the second phase the intermediate memory image is decompressed in a buffer so that it can be reimaged into its final form and order before being recompressed and written back to non-volatile memory over-writing the intermediate memory image.

Abstract: A system maps a multidimensional model to data warehouse schema. The system includes a multidimensional model editor for defining a multidimensional model based on a conceptual model; a mapping reasoner for generating more simple mappings from basic mappings by reasoning on the conceptual model so as to provide mappings for concerning elements in an ontology path in the multidimensional model; a data warehouse schema analyzer for generating a data structure capable of indicating information of the data warehouse schema by making an analysis on the information of the data warehouse schema; and a mapping composition engine for generating result mappings according to mappings for the concerning elements of the ontology path in the multidimensional model and by searching in the data structure paths corresponding to the concerning elements of the ontology path in the multidimensional model. A method and computer program product are also disclosed.

Abstract: Provided is a digital image stabilization method. The method includes: extracting characterizing points from a current frame; matching the characterizing points of the current frame with characterizing points of a previous frame; detecting an outlier from the matched characterizing points and removing the outlier; calculating homography using the characterizing points from which the outlier has been removed; and correcting the current frame using the homography.

Abstract: A fault-tolerant approach for updating a compressed read-only file system in embedded devices using a two-step approach. In the first phase an update package creates an intermediate memory image where the data blocks are independently compressed so that, if needed, the data therein can be decompressed and read without access to any other surrounding data blocks. Then in the second phase the intermediate memory image is decompressed in a buffer so that it can be reimaged into its final form and order before being recompressed and written back to non-volatile memory over-writing the intermediate memory image.

Abstract: A method and an apparatus for selecting an answer to a natural language question. The method includes: detecting a named entity in the natural language question; extracting information related to an answer from the natural language question; searching in linked data according to the detected named entity; generating a candidate answer according to a search result; parsing the candidate answer according to the information related to the answer; and obtaining a value of a feature of the candidate answer; and evaluating each candidate answer by synthesizing the value of the feature of the candidate answer.

Abstract: A system and method for expanding new sample seeds to automatically expand corpora, in which sample seeds are used to collect corpus is provided. The new sample seeds are generated based on the already existed sample seeds and collected corpora; The corpus expansion strategy is determined based on all the sample seeds having been used and new sample seeds: The new sample seeds are refined based on the corpus expansion strategy, and the refined new sample seeds are used to further collect corpus. The above steps are repeatedly executed until predefined condition is satisfied. According to the invention, corpus may be automatically expanded from the web or other resources with low cost and in convenient way to improve the coverage of corpora.

Abstract: The present invention provides a method and apparatus for helping a user form a structured diagram from an unstructured information source. Starting with one or more key information elements such as some special words, the requests of a customer contained in the information source can be obtained by performing interactive and iterative searching in the unstructured information source such as text, audio, video and etc., the artifacts representing them are drawn in the diagram, and linkages are established between the artifacts and the corresponding contents in the information source. The present invention also proposes that the distribution of established linkages can be used to check whether all the requests in the information source have been extracted in the diagram. Further, various levels of warnings can be shown according to the density of linkage distribution. Therefore the user can draw a structured diagram more conveniently and quickly, and can perform checking and reusing more easily.

Abstract: A system and a method for automatically generating new concepts based on existing ontologies are provided. The system creates new concepts in existing ontologies based on new concept descriptions expressed in a natural language format, and comprises: a normalizer for receiving and parsing the new concept descriptions so as to transform them into normalized one and output them, wherein said normalized concept description includes one or more description part(s) having kernel concepts, said description parts can only contain the terms which can be identified in said existing ontologies, and each of said kernel concept contains a headword and zero or more property(s); and a new concept factory for, based on the normalized description of the new concept, identifying the kernel concepts in each normalized concept description part, and extracting the identified kernel concepts, related properties, and the relations among the kernel concepts for a user to create new concepts according to existing ontologies.

Abstract: A system for automatically monitoring provisioning in a DSL network is disclosed. The system is operable to query network elements in the DSL network for information related to the provisioning of DSL services. Thereafter, the system analyzes the information to identify points of delay and/or failure in the provisioning process. If a delay exceeds a threshold value, an administrator is notified.

Abstract: A system and a method for automatically generating new concepts based on existing ontologies are provided. The system creates new concepts in existing ontologies based on new concept descriptions expressed in a natural language format, and comprises: a normalizer for receiving and parsing the new concept descriptions so as to transform them into normalized one and output them, wherein said normalized concept description includes one or more description part(s) having kernel concepts, said description parts can only contain the terms which can be identified in said existing ontologies, and each of said kernel concept contains a headword and zero or more property(s); and a new concept factory for, based on the normalized description of the new concept, identifying the kernel concepts in each normalized concept description part, and extracting the identified kernel concepts, related properties, and the relations among the kernel concepts for a user to create new concepts according to existing ontologies.