Difference between revisions of "Personal Knowledge Container"
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''' | [[PKC|'''Personal''' Knowledge Container]]([[wikidata:Q110762241|Q110762241]])/([[個人知識容器]]) is a way to help attain personalized [[data sovereignty]] through [[Personal Cloud]] technologies. It can also be used as [[Public Knowledge Container|'''Public''' Knowledge Container]] and/or [[Project Knowledge Container|'''Project''' Knowledge Container]].It is abbreviated as [[PKC]]<ref>PKC (Github Project, URL: https://github.com/xlp0/PKC</ref><ref>{{:Video/Yochai Benkler: Open-source economics}}</ref><ref>Encyclosphere. (2022, April 6). PKC Media Wiki, . Retrieved 03:24, April 26, 2022 from https://www.pkc.pub/index.php?title=Encyclosphere&oldid=29070.</ref>, is a [[PKC services|collection of micro services (computation and communication processes)]] that enables personalized [[data is the asset|ownership]] of [[Hyperlink-centric data asset]]<ref>https://www.bmc.com/blogs/microservices-architecture/</ref>. It is a tool designed to be operated by individuals or communities of varying sizes and can be deployed to [[network environments]] of your choice. After the [[PKC#Installation_Procedure.2FImplementation_Process|installation]], your local instance of [[PKC]] service on [[your own computer]] will work, even without access to the [[wikipedia:Internet|Internet]]. [[PKC]] allows for an integrative deployment of [[user-friendly knowledge presentation]], [[extensible functionalities]], and [[self-servicing data asset ownership]] in a single package. In other words, this technology platform is designed to lower the entry barrier for the ownership of [[self-sovereign data asset]]s. | ||
== | =The abstract specification of PKC= | ||
It will be helpful to read the [[Abstract Specification of PKC]] before continuing. | |||
{{LogicModel | |||
|name=PKC | |||
}} | |||
{{:PKC/Readme.md}} | |||
= | <noinclude> | ||
=Slide Show= | |||
For a slide show on [[PKC]], please see this following slide set: | |||
<nowiki>{{#widget:Google Presentation|docid= 18ZArxRn0FuQPLcAIkXeNxOsZFyrnLR1ncdkqTm6TqVk |size=medium}}</nowiki> | |||
{{#widget:Google Presentation|docid= 18ZArxRn0FuQPLcAIkXeNxOsZFyrnLR1ncdkqTm6TqVk |size=medium}} | |||
{{PagePostfix | |||
|category_csd=Personal Cloud,Personal Data Container,PKC,PKM, Data Science,Soulbound Token,Monoid | |||
|semantic_labels=[[Page created by date::Start datetime]]= [[Start datetime::{{CURRENTMONTH}} {{CURRENTDAY}}, {{CURRENTYEAR}}]] | |||
}} | |||
</noinclude> | |||
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Latest revision as of 10:33, 7 July 2023
Personal Knowledge Container(Q110762241)/(個人知識容器) is a way to help attain personalized data sovereignty through Personal Cloud technologies. It can also be used as Public Knowledge Container and/or Project Knowledge Container.It is abbreviated as PKC[1][2][3], is a collection of micro services (computation and communication processes) that enables personalized ownership of Hyperlink-centric data asset[4]. It is a tool designed to be operated by individuals or communities of varying sizes and can be deployed to network environments of your choice. After the installation, your local instance of PKC service on your own computer will work, even without access to the Internet. PKC allows for an integrative deployment of user-friendly knowledge presentation, extensible functionalities, and self-servicing data asset ownership in a single package. In other words, this technology platform is designed to lower the entry barrier for the ownership of self-sovereign data assets.
The abstract specification of PKC
It will be helpful to read the Abstract Specification of PKC before continuing.
Logic Model (PKC) Template:LogicModel 07 7, 2023 | ||||||
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Context
To help manage personalized and project-based data asset, PKC is designed to run in scalable configurations, starting from personalized computing resources, up to multi-server cloud environments. The overall approach of PKC is try to minimize the entry-barrier of automated workflow and create an inclusive field of growth driven by Moore's Law. The system design work of PKC will try to follow principles presented in the book: Specifying Systems[9].
Goal
Create a basic set of services, files, and page content to help individuals operate a MediaWiki website on any machine of their choosing. This will allow them to continuously work with their own data assets, independent of future changes.
Success Criteria
- Allow Individuals to install an instance of MediaWiki service by reading this PKC/Readme.md file.
- Make all textual content, executable software images, installation scripts in the public domain, so that everyone can share and use them at will.
- Provide instructions to learn about how to use PKC in the initial MediaWiki's database, so that people can start learning to use PKC through their own instance of MediaWiki.
Required Resources
- A computer[10] that you have access to its "root" or "administrator" previledge.
- Operatng Systems that support Docker: Windows 10, Mac OS X Big Sur 11.2.3 and Linux.
- Under Windows 10 Environment, some VPN software might interfere with Docker's Windows Subsystem for Linux, a.k.a. Windows Subsystem for Linux (WSL), you will need to remove VPN software before installing [Docker]. In case you don't want to remvoe your VPN software, or your Docker and Bash have compatibility issues, please try to [VirtualBox PKC] solution.
- Access to the Internet during intallation time. Please try to perform the installation on a network with 10Mbps+ to the Internet. After installation, this system can operated without access to the Internet.
- Relevant software implementation examples and architectural patterns in the field of Knowledge Management
Installation Procedure/Implementation Process
- Installation must be conducted by a person who possess the root password of the target machine. When it starts installing, root password needs to be provided in a command line interface (CLI).
- You will need Git, the software installed on your machine. You may follow the instructions on Git Software Installation and Download.
- Install Docker, the Installation instructions and downloadable files can be found here: https://docs.docker.com/get-started/
- After the success of Docker installation, launch a terminal application, or often called command line interface (CLI)interface, move your working directory using the command
cd
", meaning change your working directory, to a directory in your file system. For Mac OS X and Linux operating systems, Terminal applications are bundled during installation. For Windows 10 PKC Installation, please refer to this page.
Assume the directory you keep your working files is called: Workspace
, your terminal application/command line interface (CLI) should present a prompt, similar to the following format: (your environment might also display machine name and user name along with the working directory name)
~/userName/Workspace$
Download the entire package using git
. You may copy the instruction as follows:
~/userName/Workspace$ git clone https://github.com/xlp0/PKC.git
- After the
git clone
instruction copied relevant data to your working directory, using the commandcd
to the PKC directory that contains the scriptup.sh
, and type:./up.sh
to execute the script.(If you are running Windows machine, just type:.\up.bat
or justup
.)
~/userName/Workspace$ cd PKC ~/userName/Workspace/PKC$ ./up.sh
- After you submitted the
./up.sh
in your command line interface, you will be asked for a password, type in the root password for the machine you are trying to install. - Depends on your network connection, this process will download around 5GB of data, so that it will take a while.
- Open a browser: type the following URL to the browser's URL field: http://localhost:9352.
- In case you need to have administrator access, use
Admin
as user name, andmetalanguage
as password. - If you plan to set up https for your PKC, please refer to the page:Nginx as Reverse Proxy.
Expected Outcome
- Every 30 minutes, all the changes you made to your local instance of MediaWiki will be automatically backed up to the directory's "backup/" sub-directory.
- The textual content stored in MediaWiki's database can will be stored in an XML file: XLPLATEST.xml
- All the uploaded files, assuming the file names are accepted by the host operating system, will be dumped to the "backup/MediaFile/" sub-directory.
- New applications and data processing patterns can be defined by PageFlow
Boundary Conditions
- We can not warrant any reliability, completeness, and accuracy of this installation procedure. Any action you take upon this information and execute this script is at your own risk, We will not be liable for any losses and damages in connection to the use of the actions and software prescribed here.
- We have only tested on a small number of machines and configurations, your mileage may vary.
- Do not remove any of the files in the directory with
backup/
, such asdocker-compose.yml
and theLocalSettings.php
. These files are the configuration files for Docker and MediaWiki respectively. Missing them, this system will cease to work. - Many pre-defined parameters can be replaced in the .env file stored in the PKC directory. It allows flexible configuration of your system. For more information, please read Configure your own PKC instance.
- For the sake of reducing typos, the project has moved from https://github.com/xlp0/PersonalKnowledgeContainer to https://github.com/xlp0/PKC. For the current implementation of Github, these two git repository names point to the same source. When GitHub change this practice, it will change. We recommend you to use the shorter version.
Slide Show
For a slide show on PKC, please see this following slide set:
{{#widget:Google Presentation|docid= 18ZArxRn0FuQPLcAIkXeNxOsZFyrnLR1ncdkqTm6TqVk |size=medium}}
References
- ↑ PKC (Github Project, URL: https://github.com/xlp0/PKC
- ↑ Benkler, Yochai (Apr 22, 2008). Yochai Benkler: Open-source economics. local page: TED.
- ↑ Encyclosphere. (2022, April 6). PKC Media Wiki, . Retrieved 03:24, April 26, 2022 from https://www.pkc.pub/index.php?title=Encyclosphere&oldid=29070.
- ↑ https://www.bmc.com/blogs/microservices-architecture/
- ↑ Skaf-Molli, Hala; Canals, G ́erˆome; Molli, Pascal (2010). DSMW: Distributed Semantic MediaWiki (PDF). Part II. Berlin Heidelberg: Springer-Verlag. p. 26–430.
- ↑ Koren, Yaron (2020). Working with MediaWiki (2nd ed.). local page: WikiWorks Press. ISBN 978-1540761149.
- ↑ https://www.mediawiki.org/wiki/Meza
- ↑ MediaWiki Manual:Installation Guide. local page: WikiMedia. Jan 8, 2022.
- ↑ Lamport, Leslie (2020). Specifying Systems: The TLA+ Language and Tools for Hardware and Software Engineers. local page: Addison Wesley. ISBN 0-321-14306-X.
- ↑ Delaney, Jeff (Jan 15, 2021). Raspberry Pi versus AWS // How to host your website on the RPi4. local page: Fireship.
Related Pages
Start datetime= 11 25, 2024