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==Semantic Search== | ==Semantic Search== | ||
The following list shows all [https://www.semantic-mediawiki.org/wiki/Help:Properties_and_types Semantic Properties] labeled as [[ | The following list shows all [https://www.semantic-mediawiki.org/wiki/Help:Properties_and_types Semantic Properties] labeled as [[Category:Technical Term]]: | ||
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Revision as of 17:54, 31 August 2021
Main Page | |
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Context | Inadequate ICT Awareness causes Digital divide. |
Goal | Spread awareness of essential ICT tools |
Criteria | Observable utilization of linked digital content |
Outputs | A continuously evolving Data Workflow |
Process | Relate data assets using Hyperlinks |
Inputs | Active Participants and Semantic MediaWiki |
Boundaries | Lack of access to networked Modern Browsers |
Welcome to the landing page of XLP microservice. The XLP microservice is a scalable ICT platform aims at helping our participants to publish their learning experience for individuals as well as the community connected through the Internet. An operational goal is to maximize community collaboration by sharing community-relevant data in a singular digital location often referred to as a single source of truth (SSOT).
To accommodate the plurality of data tools on the Internet, this website will serve as a unifying data container of participants' collective data linkages, enabling participant to weave a web of interconnected digital content that combines resources stored on all other data service providers. For starters, content displayed on published Google documents, and authentication service on Github, is integrated with XLP microservice.
ICT Tools for Distributed Learning
Given the distributed nature of our online learning program, there are many ICT tools that help develop one's digital native skills[1]. Knowing that there will be many different skill levels in our highly diverse cohort, we have created a multi-tiered approach to engage your participation.
- Non-Digital Native: All participants will frequently use popular web-apps and smartphone apps during the program.
- Content Creator: All participants will have read/write access to the dedicated instances of Semantic MediaWiki. Since all content are automatically version controlled, we will allow dedicated content-organizers/librarians in your own teams to maintain data integrity.
- Self-Service Agent: All participants will be given instruction material to learn to operate their own Semantic MediaWiki instance for personal knowledge management. However, installation and operation of this personal data instrument is not required for all participants.
Universal Data Abstraction
In the era of Big Data, the required skill set can be summarized in one term:Universal Data Abstraction. Knowing the potentials and boundaries of Universal Data Abstraction is to acquire the skill to use available resources to capture data of any sort, and use them under various contexts, including working with many people.
MediaWiki and Universal Data Abstraction
Semantic MediaWiki is one of the more functional, and Open Source technology in helping students practice their skills on Universal Data Abstraction. We prepared PKC to help you experience the universality of data abstraction by running a public instance of MediaWiki for your team work. We also prepared this installation instruction to help you operate PKC on your own. PKC stands for Personal Knowledge Container. It is a customized version of MediaWiki designed to be operated by organization of varying sizes[2], so that data ownership can be universal. There are many MediaWiki related resources for knowledge management, you can find them in references grouped as footnotes.[footnotes 1]
Personal Knowledge Container (PKC)
The main ideas behind PKC are Semantic MediaWiki, and data orchestration in a data publishing workflow that subscribes to the ideas of Universal Data Abstraction. Since it can be run on a broad range of personally owned devices, so that it is named Personal Knowledge Container. If you want to have a privately operated knowledge container, please follow the installation procedure to own one for yourself.
Signed Pages
No pages meet these criteria.
Semantic Search
The following list shows all Semantic Properties labeled as:
Artificial Intelligence, Cognitive Science, Computing Science, Machine Learning, Mathematical logic, Mathematics, Reinforcement learning, Supervised learning, Universality, Unsupervised learning
Footnotes
- ↑ , http://edutechwiki.unige.ch/en/Main_Page last accessed: April 26, 2021,
References
- ↑ Huang, Ronghuai; Kinshuk, Price; Jon, K. (2016). ICT in Education in Global Context:Comparative Reports of Innovations in K-12 Education. Springer.
- ↑ Meyerson, Michael (2002). Political numeracy : mathematical perspectives on our chaotic constitution. local page: Norton Publisher. ISBN 0393323722.