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Patent Agency Ranking
公开(公告)号：KR100849497B1
公开(公告)日：2008-07-31
申请号：KR1020060095817
申请日：2006-09-29
Applicant: 한국전자통신연구원
CPC classification number: G06F17/30616 , G06F17/30734
Abstract: 본 발명은 단백질 이름 정규화 방법에 관한 것으로, 보다 상세하게는 온톨로지 매핑을 이용한 단백질 이름 정규화 방법 및 장치에 관한 것이다.
본 발명은 생물학 문헌을 입력받아 단백질 개체명을 추출하는 단계; 상기 추출된 단백질 개체명과 온톨로지를 통해서 구축된 동의어 사전과의 유사도를 계산하여 단백질 코드를 분석하는 단계; 소정 종분류 학습모델을 이용하여 상기 생물학 문헌에 포함된 단백질의 종 정보를 분류하는 단계; 및 상기 분석된 단백질 코드 및 상기 분류된 종 정보를 통합하여 온톨로지 ID를 할당하는 단계를 포함하는 온톨로지 매핑을 이용한 단백질 이름 정규화 방법을 개시한다.
단백질 이름 정규화, 온톨로지, 생물학 문헌-
公开(公告)号：KR1020080051436A
公开(公告)日：2008-06-11
申请号：KR1020060122478
申请日：2006-12-05
Applicant: 한국전자통신연구원
CPC classification number: G06F17/30867 , G06Q50/32
Abstract: A method for reporting new documents relevant to a user profile based on a protein-protein interaction network is provided to prevent excessive information and obtain new information quickly by enabling a user to make the profile based on the protein-protein interaction network, monitoring the new document in an Internet database, and reporting the new document relevant to the user profile in an email. A user makes a user profile by using a protein-protein interaction network and inputting a keyword, an issuance year, an author, an institute, and a journal name to filter documents. A profile processor generates a query by converting a protein ID expressed in the protein-protein interaction network into a protein name and adding the additional filtering information, requests search to a document database, and transfers the query to a document processor when the new document is found in the document database. The document processor extracts protein-protein interaction, checks whether the protein included in the protein-protein interaction network is relevant to the protein ID, makes a summary by highlighting a document number and a part commenting the protein-protein interaction in the document, and reports the summary to the user by using an email.
Abstract translation: 提供了一种基于蛋白质 - 蛋白质相互作用网络报告与用户简档相关的新文档的方法，以通过使用户能够基于蛋白质 - 蛋白质相互作用网络来形成简档，从而快速获取新信息并监测新的信息 在Internet数据库中记录文档，并在电子邮件中报告与用户个人资料相关的新文档。 用户通过使用蛋白质 - 蛋白质相互作用网络输入用户简档，输入关键字，发行年份，作者，研究所和日记帐名称来过滤文档。 配置文件处理器通过将蛋白质 - 蛋白质相互作用网络中表达的蛋白质ID转化为蛋白质名称并添加附加过滤信息，将搜索请求到文档数据库来生成查询，并且当新文档是文档处理器时将查询传送到文档处理器 在文档数据库中找到。 文件处理器提取蛋白质 - 蛋白质相互作用，检查蛋白质 - 蛋白质相互作用网络中包含的蛋白质是否与蛋白质ID相关，通过突出显示文档中的蛋白质 - 蛋白质相互作用的文档编号和部分进行总结，以及 使用电子邮件向用户报告摘要。
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公开(公告)号：KR1020080030138A
公开(公告)日：2008-04-04
申请号：KR1020060095817
申请日：2006-09-29
Applicant: 한국전자통신연구원
CPC classification number: G06F17/30616 , G06F17/30734
Abstract: A method and an apparatus of protein name normalization using ontology mapping are provided to recognize accurately the protein written on the literatures by mapping the protein name recognized in the biological literatures into a normalized protein ontology. A literature recognition part(110) extracts a protein name and species data by accepting biological literatures input. An abbreviated word dictionary DB(130) is composed of pairs of an abbreviated protein names and an original protein names. An abbreviated protein name restoration part(120) restores the abbreviated protein name into the original protein name. A synonym dictionary DB(150) is constructed through the ontology. An inverted index structure DB(160) of the synonym dictionary has an inverted index structure of the synonym dictionary. A protein code analysis part(140) analyzes the protein code by calculating similarity of the protein code by comparing the extracted protein name and the inverted index structure DB of the synonym dictionary. An ontology ID allocating part(190) allocates final ontology IDs by protein name based on the protein code and kind.
Abstract translation: 提供使用本体映射的蛋白质名称归一化的方法和装置，通过将生物学文献中识别的蛋白质名称映射成归一化的蛋白质本体来准确地识别文献中写的蛋白质。 文献识别部分（110）通过接受输入的生物文献来提取蛋白质名称和物种数据。 缩写词典DB（130）由缩写蛋白质名称和原始蛋白质名称的对组成。 缩写蛋白质名称恢复部分（120）将缩写蛋白质名称恢复为原始蛋白质名称。 同义词字典DB（150）是通过本体构建的。 同义字典的反向索引结构DB（160）具有同义字典的反向索引结构。 蛋白质代码分析部分（140）通过比较提取的蛋白质名称和同义词典的反向索引结构DB来计算蛋白质代码的相似性来分析蛋白质代码。 本体ID分配部分（190）基于蛋白质代码和种类，通过蛋白质名称分配最终本体ID。
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公开(公告)号：KR1020070060993A
公开(公告)日：2007-06-13
申请号：KR1020060024786
申请日：2006-03-17
Applicant: 한국전자통신연구원
Abstract: A method and a system for verifying protein-protein interaction with text mining are provided to avoid a duplicated experiment by utilizing knowledge proved through documents before the estimated protein-protein interaction is experimentally proved and generate a measure for estimating performance of an estimation system by verifying a result of the estimation system. An ontology database(160) stores protein-protein interaction and hierarchical structure information among proteins. A text mining part(120) extracts the protein-protein interaction from protein-related documents by using a text mining method. An ontology mapper(130) maps the extracted protein-protein interaction to an ontology ID by using the ontology database. An information filter(140) filters the information having high weight based on a frequency of the information and an effect factor of the protein-related documents among the mapped protein-protein interaction information. An information indexer indexes protein-related document/sentence, ontology ID, protein-protein interaction, and precision information.
Abstract translation: 提供了一种用于验证与文本挖掘的蛋白质 - 蛋白质相互作用的方法和系统，以在通过实验证明估计的蛋白质 - 蛋白质相互作用之前利用通过文献证明的知识来避免重复的实验，并通过验证来生成估计估计系统的性能的度量 是估算系统的结果。 本体数据库（160）在蛋白质之间存储蛋白质 - 蛋白质相互作用和层次结构信息。 文本挖掘部分（120）通过使用文本挖掘方法从蛋白质相关文档中提取蛋白质 - 蛋白质相互作用。 本体映射器（130）通过使用本体数据库将提取的蛋白质 - 蛋白质相互作用映射到本体ID。 信息过滤器（140）基于所述信息的频率和所映射的蛋白质 - 蛋白质相互作用信息之间的蛋白质相关文档的影响因子来过滤具有高权重的信息。 信息索引器索引蛋白质相关文档/句子，本体ID，蛋白质 - 蛋白质相互作用和精确度信息。
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