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1. 发明专利

JP2012099138A Generation of structured information 有权
标题翻译：结构化信息的生成
公开(公告)号：JP2012099138A
公开(公告)日：2012-05-24
申请号：JP2012004466
申请日：2012-01-12
申请人： Google Inc , グーグルインコーポレイテッドGoogle Inc.
发明人： EGON PASTEUR , EGNOR DANIEL
IPC分类号： G06F17/30
CPC分类号： G06Q10/00 , G06F17/2705 , G06F17/3089
摘要： PROBLEM TO BE SOLVED: To provide a method of establishing information gathering for structured or partially structured directories.SOLUTION: Structured data or unstructured data associated with an enterprise is acquired from one or more information sources such as commercial data providers, enterprise websites or directory website. A character string extracted from the unstructured data includes a plurality of pairs of keys and values describing facts associated with the enterprise. The extracted character string has its sentence structure interpreted so as to standardize and replace the keys and values with structured expressions comprehensible to machines. Some of the keys or values cannot be standardized. The fact is (clustered) in one together with the enterprise that they belong to. Standardized facts from different information sources are compared, and reliability levels or weights are allocated to the facts. Those reliability levels and weights are used to select facts displayed in a page for enterprise in directories.
摘要翻译：要解决的问题：提供一种为结构化或部分结构化目录建立信息收集的方法。解决方案：从一个或多个信息来源（如商业数据提供商，企业网站或目录网站）获取与企业相关的结构化数据或非结构化数据。从非结构化数据提取的字符串包括描述与企业相关联的事实的多对键和值。提取的字符串的句子结构被解释为标准化和替换具有可理解到机器的结构化表达式的键和值。某些键或值无法标准化。事实是（聚集）在一起与他们所属的企业。比较来自不同信息源的标准化事实，将可靠性等级或权重分配给事实。这些可靠性级别和权重用于选择在目录中的企业页面中显示的事实。版权所有（C）2012，JPO＆INPIT

2. 发明专利

CA2845194C CLASSIFICATION OF AMBIGUOUS GEOGRAPHIC REFERENCES 未知
公开(公告)号：CA2845194C
公开(公告)日：2016-08-30
申请号：CA2845194
申请日：2005-12-30
申请人： GOOGLE INC
发明人： EGNOR DANIEL
IPC分类号： G06F17/00 , G06F17/27 , G06F17/30
摘要： A location classifier generates location information based on textual strings in input text. The location information defines potential geographical relevance of the input text. In determining the location information, the location classifier may receive at least one geo- relevance profile associated with at least one string in the input text, obtain a combined geo- relevance profile for the document from the at least one geo-relevance profile, and determine geographical relevance of the input text based on the combined geo-relevance profile.

3. 发明专利

CA2610319C SCORING LOCAL SEARCH RESULTS BASED ON LOCATION PROMINENCE 未知
公开(公告)号：CA2610319C
公开(公告)日：2014-11-18
申请号：CA2610319
申请日：2006-05-26
申请人： GOOGLE INC
发明人： O'CLAIR BRIAN , EGNOR DANIEL , GREENFIELD LAWRENCE ELIAS
IPC分类号： G06F17/30 , G06F40/00
摘要： A system may identify a first document associated with a geographic location within a geographical area and identify a second document associated with a geographic location outside the geographical area. The system may also assign a first score to the first document based on a first scoring function and assign a second score to the second document based on a second scoring function.

4. 发明专利

CA2600685A1 GENERATING STRUCTURED INFORMATION 未知
公开(公告)号：CA2600685A1
公开(公告)日：2006-09-08
申请号：CA2600685
申请日：2006-03-02
申请人： GOOGLE INC
发明人： EGNOR DANIEL , PASZTOR EGON
IPC分类号： G06F7/00
摘要： Structured and/or unstructured data about enterprises are acquired from one or more sources such as commercial data providers, enterprise web sites, and/or directory web sites. Strings are extracted from the unstructured data. The strings contain key, value pairs describing facts about the enterprises. The extracted strings are parsed to normalize the keys and values and place them in a machine-understandable structured representation. Some keys and/or values cannot be normalized. The facts are clustered with the enterprise to which they pertain. Normalized facts from different sources are compared and confidence levels and/or weights are assigned to the facts. These confidence levels and weights are used to select the facts that are displayed on a page for the enterprise in a directory.

5. 发明专利

CA2845194A1 CLASSIFICATION OF AMBIGUOUS GEOGRAPHIC REFERENCES 未知
公开(公告)号：CA2845194A1
公开(公告)日：2006-07-13
申请号：CA2845194
申请日：2005-12-30
申请人： GOOGLE INC
发明人： EGNOR DANIEL
IPC分类号： G06F17/00 , G06F17/27 , G06F17/30
摘要： A location classifier generates location information based on textual strings in input text. The location information defines potential geographical relevance of the input text. In determining the location information, the location classifier may receive at least one geo-relevance profile associated with at least one string in the input text, obtain a combined geo-relevance profile for the document from the at least one geo-relevance profile, and determine geographical relevance of the input text based on the combined geo-relevance profile.

6. 发明专利

CA2600685C GENERATING STRUCTURED INFORMATION 未知
公开(公告)号：CA2600685C
公开(公告)日：2015-08-11
申请号：CA2600685
申请日：2006-03-02
申请人： GOOGLE INC
发明人： PASZTOR EGON , EGNOR DANIEL
IPC分类号： G06F7/00
摘要： Structured and/or unstructured data about enterprises are acquired from one or more sources such as commercial data providers, enterprise web sites, and/or directory web sites. Strings are extracted from the unstructured data. The strings contain key, value pairs describing facts about the enterprises. The extracted strings are parsed to normalize the keys and values and place them in a machine-understandable structured representation. Some keys and/or values cannot be normalized. The facts are clustered with the enterprise to which they pertain. Normalized facts from different sources are compared and confidence levels and/or weights are assigned to the facts. These confidence levels and weights are used to select the facts that are displayed on a page for the enterprise in a directory.

7. 发明专利

CA2593377C CLASSIFICATION OF AMBIGUOUS GEOGRAPHIC REFERENCES 未知
公开(公告)号：CA2593377C
公开(公告)日：2014-05-27
申请号：CA2593377
申请日：2005-12-30
申请人： GOOGLE INC
发明人： EGNOR DANIEL
IPC分类号： G06F17/30
摘要： A location classifier generates location information based on textual strings in input text. The location information defines potential geographical relevance of the input text. In determining the location information, the location classifier may receive at least one geo-relevance profile associated with at least one string in the input text, obtain a combined geo-relevance profile for the document from the at least one geo-relevance profile, and determine geographical relevance of the input text based on the combined geo-relevance profile.

8. 发明专利

CA2647864C PROPAGATING USEFUL INFORMATION AMONG RELATED WEB PAGES, SUCH AS WEB PAGES OF A WEBSITE 未知
公开(公告)号：CA2647864C
公开(公告)日：2013-06-25
申请号：CA2647864
申请日：2007-03-19
申请人： GOOGLE INC
发明人： EGNOR DANIEL , HAAHR PAUL , LACKER KEVIN , LAMPING JOHN , SINGHAL AMITABH K , YANG KE
IPC分类号： G06F7/00
摘要： Web pages of a Website may be processed to improve search results. For example, information likely to pertain to more than just the Web page it is directly associated with may be identified. One or more other, related, Web pages that such information is likely to pertain to is also identified. The identified information is associated with the identified other Web page(s) and this association is saved in a way to affect a search result score of the Web page(s).

9. 发明专利

CA2610319A1 SCORING LOCAL SEARCH RESULTS BASED ON LOCATION PROMINENCE 未知
公开(公告)号：CA2610319A1
公开(公告)日：2006-12-07
申请号：CA2610319
申请日：2006-05-26
申请人： GOOGLE INC
发明人： EGNOR DANIEL , GREENFIELD LAWRENCE ELIAS , O'CLAIR BRIAN
IPC分类号： G06F17/30 , G06F40/00
摘要： A system may identify a first document associated with a geographic location within a geographical area and identify a second document associated with a geographic location outside the geographical area. The system may also assign a first score to the first document based on a first scoring function and assign a second score to the second document based on a second scoring function.

10. 发明专利

CA2593420A1 INDEXING DOCUMENTS ACCORDING TO GEOGRAPHICAL RELEVANCE 未知
公开(公告)号：CA2593420A1
公开(公告)日：2006-07-13
申请号：CA2593420
申请日：2005-12-30
申请人： GOOGLE INC
发明人： EGNOR DANIEL
IPC分类号： G06F17/30
摘要： A local search engine efficiently indexes documents relevant to a geographical area by indexing, for each document, multiple location identifiers that collectively define an aggregate geographic region. When creating the index, the search engine may determine a set of geographical areas surrounding a geographical area relevant to a document and associate references to the set of geographical areas with the document index.

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