International Business Machines Corporation

Zhao Ming Qiu

Guo Tong Xie

Yue Pan

Lei Zhang

Li Li Ma

Gang Hu

Li Ni Zhang

David Angelo Ferrucci

Chen Wang

Yang Yang

Li Qin Shen

Li Ping Yang

Dong Hui Liu

Jian Min Jiang

Zhuo Zhang

Yuan Ni

Donald T Tang

Shixia Liu

Hong Lei Guo

Christopher A Welty

Sheng Liu

Zhi Li Guo

Yang Y Yang

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.

Data analyzing method, apparatus and a method for supporting data analysis

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.

Method and system for computer question-answering

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.

Method for processing natural language questions and apparatus thereof

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.

Method and system for mapping multi-dimensional model to data warehouse schema

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.

Corpus expansion system and method thereof

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.

Method and apparatus for helping user form structured diagram from unstructured information source

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. Therefore, ontologies will be easier to be managed, reused and expanded, while keeping smaller size and less complexity of the ontologies.

System and method for generating new concepts based on existing ontologies

This invention discloses a computer translation method and system for resoving word ambiguity. During translating a text in a first language, checking whether or not the word to be translated or the sentence containing the word has additional related text that is associated by a linkage. When the meaning of the word can not be uniquely determined in a second language by analyzing the context than the related text is obtained according to the linkage and the word is translated using both the immediate text and the related text. The linkage mechanism is described as a hyperlink in a HTML document.

Method, system and program product for resolving word ambiguity in text language translation

Growing community of inventors

Beijing, China

Zhao Ming Qiu