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    • 1. 发明申请
    • METHOD AND APPARATUS FOR GENERATING INDEX AS WELL AS SEARCH METHOD AND SEARCH APPARATUS
    • 用于生成索引的方法和装置作为搜索方法和搜索装置
    • US20100121856A1
    • 2010-05-13
    • US12616551
    • 2009-11-11
    • Hao LEIYe TIANKe ZENGLiming WANGToshikazu FUKUSHIMA
    • Hao LEIYe TIANKe ZENGLiming WANGToshikazu FUKUSHIMA
    • G06F17/30H04L9/00
    • G06F17/30622G06F17/30091
    • The present invention provides a method and apparatus for generating index as well as a search method and a search apparatus. Index entry comprises at least a search item identifier corresponding to a search item, one or a plurality of index items generated from one or plural pieces of search information, and an accumulator for the search information. The accumulator is generated by accumulating the search information, or accumulating ciphertext of information containing the search information, or accumulating data mapped from information containing the search information. At the time of searching, the index items and the accumulator are provided to a searcher. The searcher extracts search information from the index items and checks whether the extracted search information is complete by using the accumulator. In one embodiment, the accumulator is incorporated in an encrypted inverted index.
    • 本发明提供了一种用于生成索引的方法和装置以及搜索方法和搜索装置。 索引条目至少包括与搜索项目相对应的搜索项标识符,从一个或多个搜索信息生成的一个或多个索引项,以及用于搜索信息的累加器。 通过累积搜索信息或累积包含搜索信息的信息的密文或累积从包含搜索信息的信息映射的数据来生成累加器。 在搜索时,将索引项和累加器提供给搜索者。 搜索者从索引项中提取搜索信息,并通过使用累加器来检查提取的搜索信息是否完成。 在一个实施例中,累加器并入加密的倒排索引中。
    • 2. 发明申请
    • METHOD AND SYSTEM FOR CALCULATING COMPETITIVENESS METRIC BETWEEN OBJECTS
    • 计算对象之间竞争力度量的方法和系统
    • US20090125549A1
    • 2009-05-14
    • US12268866
    • 2008-11-11
    • Jianqiang LIYu ZHAOToshikazu FUKUSHIMA
    • Jianqiang LIYu ZHAOToshikazu FUKUSHIMA
    • G06F17/30
    • G06Q30/02
    • Method and System for calculating competitiveness metric between objects are provided. The method comprises the steps of: obtaining a first object and a second object; selecting, from all the relation instances stored in a relation instance repository, associated relation instances related to the first and second objects; and calculating, based on the selected associated relation instances, an extensional competitiveness metric Sout between the first and second objects as the competitiveness metric between the first and second objects. In an embodiment, the frequency that the associated relation instances related to the first and second objects appear in all the information source documents can be used for characterizing the extensional competitiveness metric. Furthermore, the present invention also provides an integrated competitiveness metric calculation method and system for combining the intensional and extensional competitiveness analysis results.
    • 提供了用于计算对象之间的竞争力度量的方法和系统。 该方法包括以下步骤:获得第一对象和第二对象; 从存储在关系实例存储库中的所有关系实例中选择与第一和第二对象相关的关联关系实例; 以及基于所选择的关联关系实例,计算第一和第二对象之间的拉伸竞争力度量Sout作为第一和第二对象之间的竞争力度量。 在一个实施例中,出现在所有信息源文档中的与第一和第二对象有关的关联关系实例的频率可用于表征拉伸竞争力度量。 此外,本发明还提供了一种综合竞争力度量计算方法和系统,用于结合强度和拉伸竞争力分析结果。
    • 3. 发明申请
    • ENTITY RELATION MINING APPARATUS AND METHOD
    • 实体关系采矿设备和方法
    • US20090112825A1
    • 2009-04-30
    • US12261852
    • 2008-10-30
    • Liqin XUChangjian HUToshikazu FUKUSHIMA
    • Liqin XUChangjian HUToshikazu FUKUSHIMA
    • G06F7/06G06F17/30
    • G06F16/36
    • The present invention provides a relation mining apparatus and method for mining data for time-series relations and events among texts in various forms such as news, blogs, industrial reports and technical papers which may refer to various relations. According to the present invention, it is possible to automatically extract entity relation instances from a large amount of the texts as described above originating from the Internet or other mediums, mine for time-series entity relations, relation scores and entity importances in various categories based on the extracted instances, and finally extract important events therefrom. Also, according to the present invention, it is possible to perform calculating on the above extracted time-series relations for the corporation entities and business relations, so as to achieve an analysis on Five Forces. Further, it is also possible to present the result to final users by a visualizing module.
    • 本发明提供了一种挖掘装置和方法,用于挖掘各种形式的文本之间的时间序列关系和事件的数据,例如可以参考各种关系的新闻,博客,工业报告和技术论文。 根据本发明,可以从源自互联网或其他媒体的大量文本自动提取实体关系实例,我们的时间序列实体关系,关系分数和各种类别的实体重要性 在提取的实例上,最后从中提取重要事件。 此外,根据本发明,可以对上述提取的公司实体和业务关系的时间序列关系进行计算,从而对五个部门进行分析。 此外,还可以通过可视化模块将结果呈现给最终用户。
    • 4. 发明申请
    • APPARATUS AND METHOD FOR ADAPTIVELY RECOMMENDING SERVICE, SYSTEM AND METHOD FOR ADAPTIVELY RECOMMENDING SERVICE, APPARATUS AND METHOD FOR RECOMMENDING SERVICE BASED ON USER'S FAVORITE BASE
    • 适应性推荐服务的装置和方法,适应性建议服务的系统和方法,基于用户最喜爱的基础的建议服务的装置和方法
    • US20090271350A1
    • 2009-10-29
    • US12252198
    • 2008-10-15
    • Qiangze FENGToshikazu FUKUSHIMA
    • Qiangze FENGToshikazu FUKUSHIMA
    • G06F17/30G06N5/02
    • G06F16/3322
    • The present invention relates to an apparatus and method for adaptively recommending service, the apparatus comprises: a semantic analyzing device which analyzes the query from a user semantically; a service selecting device which selects a service which corresponds to the semantically-analyzed query, and updates a service association database according to the selected service; and a service recommending device which searches the service association database according to the selected service to recommend a related service to the user. The present invention also relates to a system and method for adaptively recommending service as well as an apparatus and method for recommending service based on user's favorite base. With the present invention, the data in the service association database can be acquired and adjusted automatically based on the user's service selection history base, thereby enabling provision of associated services for the user. Further, the present invention can recommend service providers to the user based on the user's favorite base and thus provide services with greater flexibility.
    • 本发明涉及一种用于自适应推荐服务的装置和方法,该装置包括:语义分析装置,用于从用户语义分析查询; 服务选择装置,其选择与所述语义分析查询对应的服务,并根据所选择的服务更新服务关联数据库; 以及根据所选择的服务搜索服务关联数据库以向用户推荐相关服务的服务推荐设备。 本发明还涉及一种用于自适应地推荐服务的系统和方法以及基于用户喜爱的基础推荐服务的装置和方法。 利用本发明,可以基于用户的服务选择历史库自动地获取和调整服务关联数据库中的数据,从而能够为用户提供相关联的服务。 此外,本发明可以基于用户喜爱的基础向用户推荐服务提供商,从而提供更大灵活性的服务。
    • 5. 发明申请
    • APPARATUS AND METHOD FOR CATEGORIZING ENTITIES BASED ON TIME-SERIES RELATION GRAPHS
    • 基于时间序列关系图分类实体的装置和方法
    • US20090119336A1
    • 2009-05-07
    • US12261820
    • 2008-10-30
    • Liqin XUChangjian HUToshikazu FUKUSHIMA
    • Liqin XUChangjian HUToshikazu FUKUSHIMA
    • G06F17/30
    • G06Q10/10
    • The present invention provides an apparatus and a method for categorizing entities based on time-series relation graphs. In each of the time-series relation graphs within a prescribed time period, nodes represent entities, and links between the nodes represent entity relations in a corresponding time unit. The inventive apparatus for categorizing entities based on time-series relation graphs comprises: a time-series relation graph categorizing means for categorizing the nodes in each of the time-series relation graphs to generate a node category result for the corresponding time unit in time sequence; and a category result post-processing means for post-processing all the node category results for the corresponding time units in time sequence generated by the time-series relation graph categorizing means to generate finally categorized nodes.
    • 本发明提供一种基于时间序列关系图对实体进行分类的装置和方法。 在规定时间段内的每个时间序列关系图中,节点表示实体,并且节点之间的链接表示相应时间单位中的实体关系。 用于基于时间序列关系图对实体进行分类的本发明的装置包括:时间序列关系图分类装置,用于对每个时间序列关系图中的节点进行分类,以按时间顺序生成对应的时间单位的节点类别结果 ; 以及类别结果后处理装置,用于对由时间序列关系图分类装置产生的时间序列中的对应时间单位的所有节点类别结果进行后处理,以生成最终分类的节点。
    • 6. 发明申请
    • TRAFFIC INFORMATION PROCESSING APPARATUS AND METHOD, TRAFFIC INFORMATION INTEGRATING DEVICE AND METHOD
    • 交通信息处理装置和方法,交通信息集成装置和方法
    • US20090037087A1
    • 2009-02-05
    • US12146991
    • 2008-06-26
    • Hongwei QIQiangze FENGYuguang LIUToshikazu FUKUSHIMABangyong LIANGXin MENG
    • Hongwei QIQiangze FENGYuguang LIUToshikazu FUKUSHIMABangyong LIANGXin MENG
    • G08G1/00
    • G08G1/092
    • The present invention provides a traffic information processing apparatus and method, the apparatus comprises a format unifying device which unifies input traffic information with different formats to traffic information with unified format; and a traffic information integrating device which corrects and/or complements the traffic information with unified format based on a knowledge base to obtain traffic information which is consistent with each other, so as to integrate the traffic information, wherein the knowledge base is external to the apparatus or internal to the apparatus. The traffic information processing apparatus and method according to the present invention can process traffic information with spatial inconsistence, temporal inconsistence and semantic inconsistence so as to integrate effectively the traffic information from a variety of heterogeneous information sources and ensure the accuracy, completeness and reliability of traffic data.
    • 本发明提供了一种交通信息处理装置和方法,该装置包括以统一格式将具有不同格式的输入交通信息统一到交通信息的格式统一装置; 以及交通信息整合装置,其基于知识库以统一的格式校正和/或补充交通信息,以获得彼此一致的交通信息,从而将所述交通信息整合到所述交通信息的外部 装置或设备内部。 根据本发明的交通信息处理装置和方法可以处理具有空间不一致性,时间不一致性和语义不一致性的交通信息,从而有效地整合来自各种异构信息源的交通信息,并确保交通的准确性,完整性和可靠性 数据。
    • 7. 发明申请
    • NATURAL LANGUAGE BASED LOCATION QUERY SYSTEM, KEYWORD BASED LOCATION QUERY SYSTEM AND A NATURAL LANGUAGE AND KEYWORD BASED LOCATION QUERY SYSTEM
    • 基于自然语言的位置查询系统,基于键盘的位置查询系统和自然语言和基于键盘的位置查询系统
    • US20080010259A1
    • 2008-01-10
    • US11775052
    • 2007-07-09
    • Qiangze FENGHongwei QIYuguang LIUHuifeng LIUYabo WANGXiaowei LIUToshikazu FUKUSHIMA
    • Qiangze FENGHongwei QIYuguang LIUHuifeng LIUYabo WANGXiaowei LIUToshikazu FUKUSHIMA
    • G06F17/30
    • G06F17/3087
    • A natural language based location query system and a method thereof. The system comprises a receiving device which receives a request for natural language query from a user terminal; an access device which accesses a location ontology base and a location query language base that are external to the system or internal in the system, wherein the location ontology base comprising knowledge descriptions about the field of a location service, and the location query language base comprising a language model for the location service query; a natural language query processing device which performs at least one of a fuzzy processing and an indirection processing on the received request for natural language query by searching the location ontology base and the location query language base with the access device, retrieves location information corresponding to the request from a location database; and a sending device which sends the location information to the user terminal. This invention also provides a keyword based location query system and a method thereof, and a natural language based and keyword based location query system and a method thereof. This invention not only process user fuzzy query and indirect query, but also process compound sentence query and query having semantic error. Therefore, the degree of freedom of user query is enhanced and the location query is more flexible and accurate.
    • 一种基于自然语言的位置查询系统及其方法。 该系统包括从用户终端接收对自然语言查询的请求的接收装置; 访问设备,其访问位于系统外部或内部的位置本体库和位置查询语言库,其中所述位置本体库包括关于位置服务的字段的知识描述,以及所述位置查询语言库包括 位置服务查询的语言模型; 一种自然语言查询处理装置,其通过使用所述访问装置搜索所述位置本体库和所述位置查询语言库来对所接收的对所述自然语言查询请求执行模糊处理和间接处理中的至少一个,检索与所述访问设备相对应的位置信息 来自位置数据库的请求; 以及将位置信息发送到用户终端的发送装置。 本发明还提供了一种基于关键字的位置查询系统及其方法,以及基于自然语言和基于关键字的位置查询系统及其方法。 本发明不仅处理用户模糊查询和间接查询,而且处理具有语义错误的复合句查询和查询。 因此,用户查询的自由度得到提高,位置查询更灵活准确。
    • 8. 发明申请
    • METHOD, DEVICE AND SYSTEM FOR CALIBRATING POSITIONING DEVICE
    • 用于校准定位装置的方法,装置和系统
    • US20120290256A1
    • 2012-11-15
    • US13557754
    • 2012-07-25
    • Yongcai WANGJunhui ZHAOToshikazu FUKUSHIMA
    • Yongcai WANGJunhui ZHAOToshikazu FUKUSHIMA
    • G01C3/00G01B21/20G06F15/00
    • G01S5/021
    • Embodiments of the present invention provide not only a technical solution for calibrating a positioning device but also a technical solution for characterizing an area of interest in a space. Specifically, there is provided a system, which may comprise: a tag capable of emitting ranging signals, placed at location points which are selected as space feature points in the space; a positioning device in said space, configured to obtain relative coordinates of said space feature points in relation to the positioning device based on the ranging signals from the tag; and a server, configured to determine location parameters of said positioning device in said space based on said relative coordinates, so as to calibrate said positioning device. The positioning device can be calibrated automatically, fast and accurately using the system.
    • 本发明的实施例不仅提供了用于校准定位装置的技术方案,而且提供了用于表征空间中的感兴趣区域的技术方案。 具体地,提供一种系统,其可以包括:能够发射测距信号的标签,放置在被选择为空间中的空间特征点的位置点处; 所述空间中的定位装置被配置为基于来自所述标签的所述测距信号来获得所述空间特征点相对于所述定位装置的相对坐标; 以及服务器,被配置为基于所述相对坐标确定所述空间中的所述定位装置的位置参数,以便校准所述定位装置。 可以使用系统自动,快速,准确地校准定位装置。
    • 10. 发明申请
    • METHOD AND SYSTEM FOR CALCULATING COMPETITIVENESS METRIC BETWEEN OBJECTS
    • 计算对象之间竞争力度量的方法和系统
    • US20090077126A1
    • 2009-03-19
    • US12233335
    • 2008-09-18
    • Jianqiang LIYu ZHAOToshikazu FUKUSHIMA
    • Jianqiang LIYu ZHAOToshikazu FUKUSHIMA
    • G06F17/30
    • G06Q30/02
    • Method and System for calculating competitiveness metric between objects are provided. The method comprises the steps of: obtaining a first object and a second object, the first and second objects having a first profile and a second profile, each composed of a plurality of attributes, respectively; normalizing the first profile and the second profile with reference to ontology information; and calculating, based on the normalized first and second profiles, a competitiveness metric between the first and second objects. In one embodiment, the ontology information is a common attribute name vocabulary, and the step of normalizing is configured for adjusting the structures of the first and second profiles to a unified profile structure, computing the sub-metrics between the corresponding attributes in the unified profile, and computing the weighed sum of the sub-metrics as the final competitiveness metric of the first and second objects. In another embodiment, the ontology information is an object category tree, and the step of normalizing is configured for mapping the first and second profiles to one or more nodes in the object category tree, computing the probabilities of mapping the profiles to different nodes, and then, based on the obtained semantic distances between the nodes, computing the final competitiveness metric according the probabilities and the semantic distances.
    • 提供了用于计算对象之间的竞争力度量的方法和系统。 该方法包括以下步骤:获得第一对象和第二对象,所述第一和第二对象分别具有由多个属性组成的第一轮廓和第二轮廓; 参考本体信息对第一轮廓和第二轮廓进行归一化; 以及基于所述归一化的第一和第二简档来计算所述第一和第二对象之间的竞争力度量。 在一个实施例中,本体信息是公共属性名称词汇表,并且归一化的步骤被配置用于将第一和第二简档的结构调整为统一简档结构,计算统一简档中相应属性之间的子度量 并且将所述子度量的加权和计算为所述第一和第二对象的最终竞争力度量。 在另一个实施例中,本体信息是对象类别树,并且归一化步骤被配置用于将第一和第二简档映射到对象类别树中的一个或多个节点,计算将简档映射到不同节点的概率,以及 然后,基于获得的节点之间的语义距离,根据概率和语义距离计算最终竞争力度量。