从多种各样的源数据中提取元网络数据可能是难题的
，但是使用NetMapper提取和分析这数据很便捷。NetMapper能够直接输出到ORA Pro进行分析和可视化
，使您的工作比以往更便捷。NetMapper是一种支持从文本中提取网络
，并在高低文档次上分配感情的工具。每个文本被单独处置
，并导出该文本的网络暗示大局。NetMapper与ORA是可互操作的
，给定文本
，NetMapper能够提取概想和概想之间的链接
，能够急剧定造NetMapper来支持提取感兴致的术语。

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NetMapper的输出是CSV体式的
，并且是ORA读取的xml体式。NetMapper是基于词典和一个宽泛的集词库
，翻译文件和删除列表40种说话。此表
，它还支持使用用户天生的域同义词库和删除列表。因而
，在特定领域或特定主题上工作的用户能够使用域文件微调提取的概想。

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NetMapper网络守护治理者设计的一款多职能网络测试仪表。它能够急剧简直认线缆的问题
，并且能够显示出整个网络的有效资讯
，以供守护人员做急剧的维建判断。NETmapper不只能够做离线的线缆检测及在线的线缆检测以及在线的网路资讯采集
，同时也能够侦测电话线的电压
，并且也具备有类比声频信号产生仪
，能够提供寻线职能。此表
，它也具备Prot-finder职能
Ｄ芄槐媸吨斩嘶喽杂Φ耐缦谓。

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NetMapper是一种文本挖掘工具
，可从文本中提取语义网络和元网络。它合用于PC（仅64位）和Mac
Ｄ芄挥隣RA-PRO互操作
，如下图所示
，该图是使用NetMapper从文本中提取并使用ORA-PRO显示的。

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产品职能：

• 线上测试：可采集网络上活动设备的名称
  ，IP地址及MAC地址
  ，并辨识前途由器、印表机及PC机等设备

• 离线测试：显示出线缆接线线序
  ，线缆绞线情况、测试线缆长度
  ，音频发射和定位hub/switch埠所对应的相对埠的职能

• 可侦测线缆短路、短路、错线
  ，绞线对谬误及地线的通断

• 在接线图测试中
  ，使用编号远端
  ，可急剧方便的定位网络中段杜工作站的地位

• Pin-to-pin的显示网线测试了局

• 测试线缆的长度不必要衔接副机端即可测试得到长度了局

• 在长度测试中
  ，对特殊非尺度线材可通过自界说方式获得的丈量了局

• 能够切换公造和英造单元

• Prot- finder职能
  ，能够分辨出于本终端机相对应的网络衔接端口

• 产生1kHz的频率在每个pin上发送4个分歧的音调

• 大屏幕显示

• 电池电源
  ，低电量显示

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【英文介绍】

NetMapper is a tool that suports extracting networks from texts and assigning sentiment at the context level. Each text is processed separately and a network representation of that text is exported.

NetMapper is interoperable with ORA. Given a text, NetMapper extracts both concepts and links among them. NetMapper can be rapidly customized to support extraction of just terms of interst.

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The output from NetMapper is in CSV and in the xml format read by ORA. NetMapper is lexicon based and an extensive set of thesauri, translation files and delete lists in over 40 languages. In addition, it also supports the use of user-generated domain thesauri and delete lists. Hence, users who are working in a specialized area or on a specialized topic can fine tune what concepts are extracted using the domain files.

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Input: Types of Texts

Currently, to use NetMapper the user must put each text to be processed into a txt file.Generally, images should be removed. Examples of types of texts include:

● News documents

● Journal articles

● Blog posts

● tweets

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NetMapper can accept data in multiple formats:

● US-ASCII

● UTF-8

● UTF-16

● UTF-32

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Types of Networks Supported

Two types of networks ca be extracted:semantic networks and meta-networks.The semantic networks are concept to concept networks. From an ORA perspective, all concepts are treated as being of type knowledge.

The meta-networks are concept to concept except.

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NetMapper creates networks through link generation. After the thesauri and delete lists are applied then NetMapper extracts the networks by identifying links among concepts. A link is placed between two concepts when they are within the window of operation. The window of operation is defined by either or both number of concepts and syntactic structure (e.g.number of clauses, sentences, or paragraphs). The exist default choices which have been found empirically to lead to the best results for the type of texts being examined. However, the user can choose to change the defaults by sepcifying:

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● Window size based on number of words

● Window size based on number of syntactic units

● Whether or not deleted terms are "counted" in defining the size of the window

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Finally, NetMapper auto detects language and moves correctly either from left to right up to down, or the reverse. The user may define the languages in the input file(s). This is on a per file basis, however the UI allows for languages selected for a given file to easily be selected for all other files. There is also the option to have languages detection on or off. If off and no languages are selected for a given file, the default is English. If there are languages defined and language detection is enabled, NM will search the file for additional languages and add any to the list of languages to be used that score above a certain threshold.

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