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    Inverted table for storing and querying conceptual indices
    1.
    发明授权
    Inverted table for storing and querying conceptual indices 有权

    公开(公告)号：US09773054B2

    公开(公告)日：2017-09-26

    申请号：US14644771

    申请日：2015-03-11

    Applicant: International Business Machines Corporation

    Inventor： Michele M. Franceschini ,  Luis A. Lastras-Montano ,  Livio B. Soares ,  Mark N. Wegman

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30628 ,  G06F17/30687 ,  G06F17/30864 ,  G06F17/30958

    Abstract: According to an aspect, storing and querying conceptual indices (CIs) includes creating a conceptual inverted index (CII) from the CIs. The CII includes CII entries, each of which corresponds to a concept in a concept graph. Creating the CII includes populating each entry with pointers to documents selected from the CIs having likelihoods of being related to the concept that are greater than a threshold value, and the corresponding likelihoods. An aspect also includes receiving a query that includes a concept in the concept graph, and generating query results from a search that include the row at least a subset of the pointers to documents. Each of the CIs is associated with a corresponding document and includes a CI entry for each concept in the concept graph, and each of the CI entries specifies a value indicating a likelihood that the document is related to the concept in the concept graph.

    Concept Analysis Operations Utilizing Accelerators
    4.
    发明申请
    Concept Analysis Operations Utilizing Accelerators 审中-公开
    利用加速器的概念分析操作

    公开(公告)号：US20160299975A1

    公开(公告)日：2016-10-13

    申请号：US14682676

    申请日：2015-04-09

    Applicant: International Business Machines Corporation

    Inventor： Emrah Acar ,  Rajesh R. Bordawekar ,  Michele M. Franceschini ,  Luis A. Lastras-Montano ,  Ruchir Puri ,  Haifeng Qian ,  Livio B. Soares

    IPC: G06F17/30

    CPC classification number: G06N5/022 ,  G06F16/24569 ,  G06F16/36

    Abstract: Mechanisms, in a system comprising a host system and at least one accelerator device, for performing a concept analysis operation are provided. The host system extracts a set of one or more concepts from an information source and provides the set of one or more concepts to the accelerator device. The host system also provides at least one matrix representation data structure representing a graph of concepts and relationships between concepts in a corpus. The accelerator device executes the concept analysis operation internal to the accelerator device to generate an output vector identifying concepts in the corpus, identified in the at least one matrix representation data structure, related to the set of one or more concepts extracted from the information source. The accelerator device outputs the output vector to the host system which utilizes the output vector to respond to a request submitted to the host system associated with the information source.

    Abstract translation: 提供了一种用于执行概念分析操作的包括主机系统和至少一个加速器装置的系统中的机构。 主机系统从信息源中提取一组一个或多个概念，并将一组或多个概念提供给加速器设备。 主机系统还提供至少一个表示数据结构的矩阵表示数据结构，表示概念的图表和语料库中的概念之间的关系。 加速器装置执行加速器装置内部的概念分析操作，以生成与从信息源提取的一个或多个概念的集合相关的标识在该至少一个矩阵表示数据结构中识别的语料库中的概念的输出向量。 加速器装置将输出向量输出到主机系统，其利用输出向量来响应提交给与信息源相关联的主机系统的请求。

    SYSTEM FOR SEARCHING, RECOMMENDING, AND EXPLORING DOCUMENTS THROUGH CONCEPTUAL ASSOCIATIONS
    5.
    发明申请
    SYSTEM FOR SEARCHING, RECOMMENDING, AND EXPLORING DOCUMENTS THROUGH CONCEPTUAL ASSOCIATIONS 审中-公开
    通过概念协会搜索，推荐和探索文件的制度

    公开(公告)号：US20160012126A1

    公开(公告)日：2016-01-14

    申请号：US14657391

    申请日：2015-03-13

    Applicant: International Business Machines Corporation

    Inventor： Michele M. Franceschini ,  Luis A. Lastras-Montano ,  John T. Richards ,  Livio B. Soares ,  Mark N. Wegman

    IPC: G06F17/30

    CPC classification number: G06F16/325 ,  G06F16/3344 ,  G06F16/3346 ,  G06F16/951

    Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes a method for receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. The method also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. The method also includes outputting a list that is responsive to the one or more retrieved lists.

    Abstract translation: 根据一个方面，通过概念关联搜索，推荐和探索文档包括用于从每个文档中接收多个文档并提取概念的方法。 计算知识库中每个文档和概念之间的关系程度。 响应于接收到查询，该方法还包括从查询确定一个或多个概念。 对于每个概念，检索与该概念具有最高程度关系的文档的列表。 该方法还包括输出响应于一个或多个检索到的列表的列表。

    USER INTERFACE FOR SUMMARIZING THE RELEVANCE OF A DOCUMENT TO A QUERY
    6.
    发明申请
    USER INTERFACE FOR SUMMARIZING THE RELEVANCE OF A DOCUMENT TO A QUERY 有权
    用于概述文档对查询的相关性的用户界面

    公开(公告)号：US20160012045A1

    公开(公告)日：2016-01-14

    申请号：US14330461

    申请日：2014-07-14

    Applicant: International Business Machines Corporation

    Inventor： Michele M. Franceschini ,  Luis A. Lastras-Montano ,  Livio B. Soares ,  Mark N. Wegman

    IPC: G06F17/30 ,  G06F3/0482

    CPC classification number: G06F17/30424 ,  G06F17/30684

    Abstract: According to an aspect, summarizing relevance of a document to a conceptual query includes receiving the conceptual query, accessing concepts extracted from the document, and computing a degree to which the conceptual query is related to each of the extracted concepts. The computing is responsive to a metric that measures a relevance between the concepts in the conceptual query and the extracted concepts. An aspect also includes creating a summary by selecting a threshold number of the concepts having a greatest degree of relation to the conceptual query, and outputting the summary including the selected threshold number of concepts.

    Abstract translation: 根据一个方面，总结文档与概念查询的相关性包括接收概念查询，访问从文档中提取的概念，以及计算概念查询与每个提取的概念相关的程度。 计算响应于衡量概念查询中的概念与提取的概念之间的相关性的度量。 一个方面还包括通过选择具有与概念查询最大程度关系的概念的阈值数量来创建摘要，并且输出包括所选阈值概念数量的摘要。

    Concept analysis operations utilizing accelerators
    7.
    发明授权
    Concept analysis operations utilizing accelerators 有权

    公开(公告)号：US10963794B2

    公开(公告)日：2021-03-30

    申请号：US16530206

    申请日：2019-08-02

    Applicant: International Business Machines Corporation

    Inventor： Emrah Acar ,  Rajesh R. Bordawekar ,  Michele M. Franceschini ,  Luis A. Lastras-Montano ,  Ruchir Puri ,  Haifeng Qian ,  Livio B. Soares

    IPC: G06N5/00 ,  G06N5/02 ,  G06F16/36 ,  G06F16/245

    Abstract: Mechanisms, in a system comprising a host system and at least one accelerator device, for performing a concept analysis operation are provided. The host system extracts a set of one or more concepts from an information source and provides the set of one or more concepts to the accelerator device. The host system also provides at least one matrix representation data structure representing a graph of concepts and relationships between concepts in a corpus. The accelerator device executes the concept analysis operation internal to the accelerator device to generate an output vector identifying concepts in the corpus, identified in the at least one matrix representation data structure, related to the set of one or more concepts extracted from the information source. The accelerator device outputs the output vector to the host system which utilizes the output vector to respond to a request submitted to the host system associated with the information source.

    AUTOMATICALLY LINKING TEXT TO CONCEPTS IN A KNOWLEDGE BASE
    8.
    发明申请
    AUTOMATICALLY LINKING TEXT TO CONCEPTS IN A KNOWLEDGE BASE 审中-公开

    公开(公告)号：US20190073414A1

    公开(公告)日：2019-03-07

    申请号：US16183877

    申请日：2018-11-08

    Applicant: International Business Machines Corporation

    Inventor： Michele M. Franceschini ,  Luis A. Lastras-Montano ,  Livio B. Soares ,  Mark N. Wegman

    IPC: G06F17/30 ,  G06N5/02 ,  G06N5/00 ,  G06F17/22

    Abstract: According to an aspect, automatically linking text to concepts in a knowledge base using differential analysis includes receiving a text string and selecting, based on contents of the text string, a plurality of data sources that correspond to concepts in the knowledge base. In a further aspect, automatically linking the text to the concepts includes calculating, for each of the selected data sources, a probability that the text string is output by a language model built using the selected data source, calculating a probability that the text string is output by a generic language model, calculating link confidence scores for each concept based on a differential analysis of the probabilities, and creating a link from the text string to one of the concepts in the knowledge base. The creating is based on a link confidence score of the concept being more than a threshold value away from a prescribed threshold.

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