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公开(公告)号：KR1020100066919A
公开(公告)日：2010-06-18
申请号：KR1020080125436
申请日：2008-12-10
Applicant: 한국전자통신연구원
CPC classification number: G06F17/30622 , G06F17/274 , G06F17/2755 , G06F17/277
Abstract: PURPOSE: A method for storing and searching information based on a web base, and a system for managing of the same are provided to store extracted tupe and triple information to inverse-index structure extracted through high-quality language analysis such as triple/recognizing individual name and relation extraction thereby shortening a search time. CONSTITUTION: A language analysis block(100) performs language analysis of structure/non-structure. An object name recognition block(110) recognizes object name in the document. A triple storage block(130) stores information of extracted tupler type and extracted triple type by expanding reverse index structure. A query analysis block(140) extracts pattern of search information of tuple or triple type search information, after analysis a user query. A triple search block(150) performs search from the inverse-index structure.
Abstract translation: 目的：提供一种基于网络基础的信息存储和搜索的方法及其管理系统，用于将提取的元组和三重信息存储到通过诸如三重/识别个人之类的高质量语言分析提取的反索引结构中 名称和关系提取，从而缩短搜索时间。 构成：语言分析块（100）执行结构/非结构的语言分析。 对象名称识别块（110）识别文档中的对象名称。 三存储块（130）通过扩展反向索引结构来存储提取的元组类型和提取的三重类型的信息。 在分析用户查询之后，查询分析块（140）提取元组或三重类型搜索信息的搜索信息的模式。 三重搜索块（150）从反索引结构执行搜索。
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公开(公告)号：KR100961444B1
公开(公告)日：2010-06-09
申请号：KR1020080035896
申请日：2008-04-18
Applicant: 한국전자통신연구원 , 건국대학교 산학협력단
IPC: G06F17/30
CPC classification number: G06F17/30781 , G06F17/30038 , G06F17/30265 , G06F17/30749 , G06F17/30755
Abstract: 본 발명은 MPEG-7로 표현된 멀티미디어 콘텐츠를 검색하기 위한 사용자 질의를 MPEG-7 질의 포맷으로 변환하여 멀티미디어 콘텐츠를 검색하는 방법 및 장치에 관한 것이다. 본 발명에 의한 멀티미디어 콘텐츠 검색 방법은 사용자의 질의를 MPEG-7 문서의 특정 영역을 지시하는 지시자와 상기 지시자를 참조하는 참조자를 이용하여 표현하는 단계와, 상기 지시자와 상기 참조자를 이용하여 표현된 상기 사용자의 질의의 의미를 해석하는 단계와, 상기 해석 결과에 따라 해당 멀티미디어 콘텐츠를 검색하는 단계를 포함한다. 이러한 본 발명에 의하면, MPEG-7 질의 포맷에서 2 이상의 검색 조건이 동일한 구조 내에서 모두 충족된다는 것이나, 또한 서로 다른 MPEG-7 문서를 참조하고 있다는 것을 명시적으로 표현할 수 있다. 또한, 검색 과정에서 사용자 질의의 의미가 정확하게 해석되므로 사용자 질의에 부합하는 멀티미디어 콘텐츠가 정확하게 검색될 수 있다.
MPEG-7, 질의 포맷, 지시자, 참조자, 멀티미디어 콘텐츠-
公开(公告)号：KR1020080052173A
公开(公告)日：2008-06-11
申请号：KR1020070041148
申请日：2007-04-27
Applicant: 한국전자통신연구원
IPC: G06F17/30
CPC classification number: G06F17/30038 , G06F17/2755 , G06F17/2765 , G06F17/30401 , G06F17/30525
Abstract: A method for searching for media information via natural language analysis is provided to offer a scheme for searching the media wanted by a user by making efficient analysis of a user's natural language query. A method for searching for media information via natural language analysis comprises the following several steps. If media information(101) is stored at a database, metadata is extracted from the inputted media information(103). The metadata matched with the media information is stored at a metadata index database(105). If natural language media search query information(111) is inputted, the inputted media search query is analyzed and a metadata analysis rule(113) is extracted. Then, the metadata analysis rule is stored at a metadata recognition rule database(115). If a user starts a media search operation(121), the natural language search query is recognized as metadata by using the metadata recognition rule database, and the media information matched with the recognized data is searched by using the metadata index database.
Abstract translation: 提供了一种通过自然语言分析搜索媒体信息的方法，提供了一种通过对用户的自然语言查询进行有效分析来搜索用户想要的媒体的方案。 通过自然语言分析搜索媒体信息的方法包括以下几个步骤。 如果媒体信息（101）存储在数据库中，则从所输入的媒体信息（103）中提取元数据。 与媒体信息匹配的元数据被存储在元数据索引数据库（105）中。 如果输入自然语言媒体搜索查询信息（111），则分析输入的媒体搜索查询，并提取元数据分析规则（113）。 然后，元数据分析规则被存储在元数据识别规则数据库（115）。 如果用户开始媒体搜索操作（121），则通过使用元数据识别规则数据库将自然语言搜索查询识别为元数据，并且通过使用元数据索引数据库来搜索与识别的数据匹配的媒体信息。
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公开(公告)号：KR1020080021486A
公开(公告)日：2008-03-07
申请号：KR1020070066452
申请日：2007-07-03
Applicant: 한국전자통신연구원
Abstract: An apparatus and a method for generating a response sentence are provided to perform exact meaning analysis of a voice-recognized sentence by performing second point of sentence/substitutes extraction and second meaning analysis with respect to the voice-recognized sentence. A response sentence generating method comprises the following steps of: performing morpheme analysis of a voice-recognized sentence(200,210); extracting a first point of sentence from the sentence(220); performing first meaning analysis of the sentence based on the extracted first point of sentence(230); extracting a second point of sentence including the first point of sentence from the sentence based on the first meaning analysis result in order to further extract point of sentence which are not extracted in the above second step(240); generating a meaning analysis result of the voice-recognized sentence by performing second meaning analysis of the sentence based on the extracted second point of sentence(250); and generating a response sentence to the voice-recognized sentence based on the generated meaning analysis result(260).
Abstract translation: 提供了一种用于产生响应语句的装置和方法，以通过执行语音识别句子的句子/替换提取和第二含义分析的第二点来执行语音识别句子的精确含义分析。 响应语句生成方法包括以下步骤：对语音识别句子进行语素分析（200,210）; 从句子中提取第一句话（220）; 基于提取的第一句话（230），对句子进行第一意义分析; 为了进一步提取在上述第二步骤（240）中未被提取的句子，提取基于第一意义分析结果从句子中提取包括第一句子的句子的第二句子; 通过基于提取的第二句子点（250）对句子进行第二含义分析，从而产生语音识别句子的意义分析结果; 以及基于所生成的含义分析结果（260）生成对所述语音识别句子的响应句子。
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公开(公告)号：KR1020070113098A
公开(公告)日：2007-11-28
申请号：KR1020070014774
申请日：2007-02-13
Applicant: 한국전자통신연구원
IPC: G06F17/30
CPC classification number: G06F17/30707 , G06F17/30719
Abstract: A method and an apparatus for displaying information based on hierarchical classification are provided to supply a user visually with a variety of classification information configured in a hierarchical form as a basic structure and statistical information about mass media indexed under lately-issued ontology based semantic web environment, and browse the media information. A first classification reference corresponding to at least two pre-decided ontology semantic structure classes is selected(201). Information corresponding to each selected first classification reference is searched. The searched information is classified in correspondence with a second classification reference as an ontology semantic structure class lower than the first classification reference. A matrix where the at least two first classification references are respectively an axis and the second classification reference is a component of the axis is generated(207).
Abstract translation: 提供了一种基于层次分类显示信息的方法和装置，用于向用户提供以分层形式配置的各种分类信息作为基本结构，以及关于在最近发布的基于本体的语义网环境下索引的大众媒体的统计信息 ，并浏览媒体信息。 选择对应于至少两个预定义本体语义结构类的第一分类引用（201）。 搜索与每个所选择的第一分类参考相对应的信息。 搜索到的信息被分类为与第二分类参考相对应，作为比第一分类参考低的本体语义结构类。 产生其中至少两个第一分类参考分别是轴并且第二分类参考是轴的分量的矩阵（207）。
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Patent Agency Ranking
公开(公告)号：KR100490748B1
公开(公告)日：2005-05-24
申请号：KR1020020019647
申请日：2002-04-11
Applicant: 한국전자통신연구원
IPC: G06F17/30
CPC classification number: G06F17/30864
Abstract: 본 발명은 URL 포함 관계에 기반한 유사도 재계산을 통한 효과적인 홈페이지 검색방법에 관한 것이다. 본 발명은 같은 홈페이지에 속하는 웹 문서들의 URL들 간의 포함 관계를 이용하여 웹 문서들 중에서 그 홈페이지의 엔트리 포인트를 찾아내는 기술이다. 본 발명의 핵심은 어떤 문서의 URL이 다른 문서의 URL의 부분열(substring)이면 전자가 후자보다 홈페이지 즉 엔트리 포인트가 될 가능성이 높다는 성질을 이용한 것이다. 즉, 본 발명은 웹 검색에 있어서 종래 정보 검색 기법을 개선하여 홈페이지의 엔트리 포인트가 되는 페이지를 다른 문서들 보다 우선하여 검색되도록 함으로써, 사용자들이 검색된 웹 문서의 URL을 일일이 방문하지 않고도 검색된 웹 문서가 홈페이지인지 여부를 쉽게 알 수 있게 되는 이점이 있으며, 또한 사용자가 입력한 검색 질의가 포함하는 단어를 가지는 웹 문서들의 사이트 정보 즉 홈페이지를 우선적으로 검색하여 줌으로써 홈페이지를 통해서 더욱 많은 정보를 얻을 수 있게 되어 검색이 보다 편리해지는 이점이 있다.
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公开(公告)号：KR1020050032937A
公开(公告)日：2005-04-08
申请号：KR1020030068931
申请日：2003-10-02
Applicant: 한국전자통신연구원
IPC: G06F17/27
Abstract: A method and system for automatically indexing questions/answers based on the analysis of a language is provided to sort vocabularies and phrases through analyzing the language of various documents, automatically generate a corresponding natural language question, and store the question and corresponding answer in order to present good candidate of the answer corresponding to the question. A question/answer system includes an indexing engine(100) and a user question/answer engine(200). The indexing engine(100) includes a language analyzing unit(10), a candidate sentence selecting unit(20), a natural language question generating unit(30), and a question/answer indexing unit(40). The indexing engine(100) also includes an index database(42) and a question/answer database(44). The user question/answer engine(200) searches the indexed question/answer and answers the inquiry of the user. The user question/answer engine(200) includes a language analyzing unit(10), a question analyzing unit(50), a question detecting unit(60), and an outputting unit(70). The language analyzing unit(10) analyzes the language structure of the inputted various documents.
Abstract translation: 提供了一种基于语言分析自动索引问题/答案的方法和系统，通过分析各种文档的语言来自动生成相应的自然语言问题，并存储问题和相应的答案，以便对词汇和短语进行排序，以便 提出与问题对应的答案的好候选人。 问答系统包括索引引擎（100）和用户问答引擎（200）。 索引引擎（100）包括语言分析单元（10），候选语句选择单元（20），自然语言问题生成单元（30）和问题/答题分度单元（40）。 索引引擎（100）还包括索引数据库（42）和问答数据库（44）。 用户问题/答案引擎（200）搜索索引的问题/答案并回答用户的查询。 用户问题/答案引擎（200）包括语言分析单元（10），问题分析单元（50），问题检测单元（60）和输出单元（70）。 语言分析单元（10）分析输入的各种文档的语言结构。
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公开(公告)号：KR1020050032759A
公开(公告)日：2005-04-08
申请号：KR1020030068711
申请日：2003-10-02
Applicant: 한국전자통신연구원
IPC: G06F17/20
Abstract: A method and device for automatically declaring pronunciation foreign language is provided to form a phoneme changing rule according to characteristic of the pronunciation of the Korean language, and declare the pronunciation of the foreign language using the phoneme changing rule. A phoneme changing rule is generated by analyzing statics data of the foreign language and a phoneme changing rule DB is constructed(S201). A weight of the phoneme changing rule is calculated and stored in the phoneme changing rule DB(S202). An inputted foreign language is divided into the phoneme(S203). A plurality of phoneme candidates are generated by referring the phoneme changing rule DB and applying phoneme changing rule into the phoneme rule(S204). The weight values corresponding to the phoneme candidates are calculated according to the phoneme changing rule(S205).
Abstract translation: 提供一种自动声明发音外语的方法和装置，以根据韩语发音的特点形成音素变化规则，并使用音素变化规则声明外语的发音。 通过分析外语的静态数据并构建音素改变规则DB来生成音素改变规则（S201）。 计算音素变化规则的权重并存储在音素改变规则DB中（S202）。 输入的外语被分为音素（S203）。 通过参考音素改变规则DB并将音素变化规则应用到音素规则中来生成多个音素候选（S204）。 根据音素变化规则计算与音素候选对应的权重值（S205）。
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公开(公告)号：KR1020040065523A
公开(公告)日：2004-07-22
申请号：KR1020030095247
申请日：2003-12-23
Applicant: 한국전자통신연구원
CPC classification number: G06F17/30784 , G06F17/30858 , H04N21/23109 , H04N21/84
Abstract: PURPOSE: A nonlinear quantization and similarity matching method for retrieving a video sequence having plural image frames is provided to configure a bit expression of an edge histogram descriptor having reduced bits for a video sequence including plural image sets, and to retrieve the video sequence with extracted information from the coded expression, thereby reducing the number of bits. CONSTITUTION: A system selects one image frame of a video sequence as a target image frame(S110), and divides the selected frame into sub images(S111). The system extracts edge histograms from the sub images(S112), and decides whether the edge histograms are generated for all the sub images(S113). If so, the system increases a constant by 1 to select a next image frame of the video sequence(S115). The system decides whether all image frames are selected from the video sequence(S116). If so, the system generates a representative edge histogram bin as the first image descriptor(S117), and creates a quantization index value group(S118).
Abstract translation: 目的：提供一种用于检索具有多个图像帧的视频序列的非线性量化和相似性匹配方法，以配置包括多个图像集的视频序列的具有缩减比特的边缘直方图描述符的比特表达式，并且提取出视频序列 来自编码表达式的信息，从而减少位数。 构成：系统选择视频序列的一个图像帧作为目标图像帧（S110），并将所选择的帧划分为子图像（S111）。 该系统从子图像中提取边缘直方图（S112），并判定是否为所有子图像生成边缘直方图（S113）。 如果是这样，系统将常数增加1以选择视频序列的下一个图像帧（S115）。 系统决定是否从视频序列中选择所有图像帧（S116）。 如果是，则系统生成代表性边缘直方图单元作为第一图像描述符（S117），并创建量化索引值组（S118）。
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公开(公告)号：KR1020040028658A
公开(公告)日：2004-04-03
申请号：KR1020037005476
申请日：2001-10-18
Applicant: 한국전자통신연구원
IPC: G06F17/30 , H04N21/232 , G06T5/40 , G06T1/00
CPC classification number: G06F17/30259 , H04N19/98
Abstract: PURPOSE: A non-linear quantization and similarity matching methods for retrieving image data is provided to construct a database to store image information representing a plurality of images with fewer bits, and to retrieve corresponding images in response to a query image based on a database with a high retrieval speed and accuracy. CONSTITUTION: L.times.5 number of normalized edge histogram bins are calculated to generate L number of edge histograms of a target image, wherein L is a positive integer and each edge histogram has five normalized edge histogram bins and represents a spatial distribution of five reference edges in a sub-image, wherein the reference edges include four directional edges and a non-directional edge(S101). The L.times.5 number of normalized edge histogram bins are non-linearly quantized to generate L.times.5 number of quantization index values for the target image(S103). The L.times.5 number of quantization index values are stored in the database(S105). And the steps S101 to S105 are repeated until all of the stored images are processed to construct the database having the image information(S107).
Abstract translation: 目的：提供用于检索图像数据的非线性量化和相似性匹配方法，以构建数据库以存储表示具有较少位的多个图像的图像信息，并且基于具有 检索速度快，准确度高。 规定：数量5的归一化边缘直方图区块被计算以生成目标图像的L个边缘直方图，其中L是正整数，并且每个边缘直方图具有五个标准化的边缘直方图区段，并且表示五个空间分布 参考边缘在子图像中，其中参考边缘包括四个方向边缘和非方向边缘（S101）。 第5次归一化边缘直方图区间被非线性量化，以产生目标图像的数量5个量化索引值（S103）。 将数量为5的量化索引值存储在数据库中（S105）。 并且重复步骤S101至S105，直到所有存储的图像被处理以构成具有图像信息的数据库（S107）。
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