A named entity marking apparatus, a named entity marking method, and a computer program product thereof are provided. The named entity marking apparatus comprises a processor and a storage unit, wherein the processor is electrically connected to the storage unit. The storage unit is stored with an electronic document and a named entity database. The processor marks the electronic document into a first marked document by a first set of the named entity database. The processor decides a second set of the named entity database according to the first marked document. The processor re-marks the electronic document into a second marked document by the second set of the named entity database.
A named entity marking apparatus, a named entity marking method, and a computer program product thereof are provided. The named entity marking apparatus comprises a processor and a storage unit, wherein the processor is electrically connected to the storage unit. The storage unit is stored with an electronic document and a named entity database. The processor marks the electronic document into a first marked document by a first set of the named entity database. The processor decides a second set of the named entity database according to the first marked document. The processor re-marks the electronic document into a second marked document by the second set of the named entity database.
The added value of e-books is enhanced to create a new experience different from traditional reading. Users can use features like knowledge tags, associated knowledge construction and graphic search on e-books.
技術現況敘述-英文: The added value of e-books is enhanced to create a new experience different from traditional reading. Users can use features like knowledge tags, associated knowledge construction and graphic search on e-books.
It allows teachers to design teaching activities that can be connected to a variety of teaching equipment in the classroom for collaborative learning, so that interactive effects of real-time data exchange and synchronization can be achieved.
Server: IBM System x3400 M CPU: Intel? Xeon? E5640 (兩顆) RAM: 16GB OS: Windows Server 2007以上版本 DB: MySQL 5.0 需安裝 JAVA JDK, flex, android模擬開發環境, apache 2.2以上, php 5.0 以上完整套件 需具備網路連線功能（建議採用固定IP網路系統）
技術現況敘述-英文: It allows teachers to design teaching activities that can be connected to a variety of teaching equipment in the classroom for collaborative learning, so that interactive effects of real-time data exchange and synchronization can be achieved.
It provides a set of interfaces of interactive queries on the mobile device, so that learners can break through the limitations on existing digital content where cross-text search is not yet available, expand learning methods, find support for the common standards for EPUB, and conduct semantic analysis based on the content features in certain domains.
技術規格
1. 支援三種文字格式語意分析(txt, html, xml) 2. 支援三種圖片之特徵擷取技術(bmp, jpg, png) 3. 開放Web Service API 4. 支援至少2種平台(Android, iOS)
技術現況敘述-英文: It provides a set of interfaces of interactive queries on the mobile device, so that learners can break through the limitations on existing digital content where cross-text search is not yet available, expand learning methods, find support for the common standards for EPUB, and conduct semantic analysis based on the content features in certain domains.
技術規格: 1. 支援三種文字格式語意分析(txt, html, xml) 2. 支援三種圖片之特徵擷取技術(bmp, jpg, png) 3. 開放Web Service API 4. 支援至少2種平台(Android, iOS)
This technology is the big data capture technology for social networks such as Facebook. It can capture information from other relevant components for analysis and related uses. And the analysis results can further be provided for other components fir further analysis and uses. At the same time, users of social networks can conduct a global analysis, and use the analysis results to find the target audience. A comprehensive analysis can be conducted on various forms of data in social networks. And the analytical results can be used to give users recommendations on business matters and help users develop sales strategies and gain other support The UI / UX design and the front-end technology allow perfect presentations of results from big data analysis.
技術現況敘述-英文: This technology is the big data capture technology for social networks such as Facebook. It can capture information from other relevant components for analysis and related uses. And the analysis results can further be provided for other components fir further analysis and uses. At the same time, users of social networks can conduct a global analysis, and use the analysis results to find the target audience. A comprehensive analysis can be conducted on various forms of data in social networks. And the analytical results can be used to give users recommendations on business matters and help users develop sales strategies and gain other support The UI / UX design and the front-end technology allow perfect presentations of results from big data analysis.
A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.
技術摘要-英文: A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.
A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.
技術摘要-英文: A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.
A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.
技術摘要-英文: A text conversion method and a text conversion system are provided. A term mapping table recording a term mapping relationship between a source language and a target language is provided. A tokenization process is performed on a paragraph in the source language to obtain tokenization results. The tokenization results are compared with the term mapping table to determine each source language term in the paragraph is belonging to a first type or a second type. The source language terms belonging to the first type are converted into corresponding target language terms according to the term mapping table. Regarding each source language term of the second type, one of multiple corresponding candidate target language terms is selected as the target language term according to a co-occurrence relevance of relevant terms, wherein each relevant term is constituted by one candidate target language term and words before and after that in the paragraph.
A method for searching target clients, applied to a mobile device coupled to a network, is provided. A target position and a target time are generated by a positioning unit and a time generating unit of the mobile device, respectively. A target clients search message is generated according to keywords input into the mobile device, the target position and the target time and then transmitted to a server coupled to the network through the network. Then a search result transmitted by the server through the network is received. The search result comprises at least one of a target clients amount, a target clients density and a target clients occurrence probability, which are retrieved from at least one social networks data and corresponding to the keywords, the target location and the target time. A map combined with the search result is displayed.
技術摘要-英文: A method for searching target clients, applied to a mobile device coupled to a network, is provided. A target position and a target time are generated by a positioning unit and a time generating unit of the mobile device, respectively. A target clients search message is generated according to keywords input into the mobile device, the target position and the target time and then transmitted to a server coupled to the network through the network. Then a search result transmitted by the server through the network is received. The search result comprises at least one of a target clients amount, a target clients density and a target clients occurrence probability, which are retrieved from at least one social networks data and corresponding to the keywords, the target location and the target time. A map combined with the search result is displayed.