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Designing better file organization around tags, not hierarchies
Excerpts from introduction:
"Computer users organize their files into folders because that is the primary tool offered by operating systems. But applying this standard hierarchical model to my own files, I began to notice shortcomings of this paradigm over the years. At the same time, I used some other information systems not based on hierarchical path names, and they turned out to solve a number of problems. I propose a new way of organizing files based on tagging, and describe the features and consequences of this method in detail.

Speaking personally, I’m fed up with HFSes, on Windows, Linux, and online storage alike. I struggled with file organization for just over a decade before finally writing this article to describe problems and solutions. Life would be easier if I could tolerate the limitations of hierarchical organization, or at least if the new proposal can fit on top of existing HFSes. But fundamentally, there is a mismatch between the narrowness of hierarchies and the rich structure of human knowledge, and the proposed system will not presuppose the features of HFSes.
existing alternative systems like Git and Danbooru bypass HFS problems to deliver a better user experience. Then I describe a step-by-step model, starting from basic primitives, of a proposed file organization system that includes a number of desirable features by design.
I care most about the data model and less about implementation details. For example in HFSes, I focus on the fact that the file system consists of a tree of labeled edges with file content at the leaves; I ignore details about inodes, journaling, defragmentation, permissions, etc."

Corresponding community discussion:

Startupinthecloud  File  Filesync  semanticweb  knowledgemanagement  Enterprise_Architecture  Data  Data_Warehouse  Tutorial  Documentation  Education  Report  Innovation  community  Database 
2 days ago by eocas
Discover insights faster and communicate more effectively with interactive notebooks for data analysis, visualization, and exploration
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Metro - Data Crowdsourcing for AI and Machine Learning >>> Generate and sell your own data
"Anybody can use our community-made plugins, "DataSources", to generate data and sell it in real-time to a Project. (free for now) A Project could be a groundbreaking new AI, a research study, or someone's curiosity project.
Artificial Intelligence is fueled by data, so innovation is monopolized by those who control data.
Our philosophy is "Empower, Don't Restrict". Let users control and monetize their data.
We want to create a transparent and fair system of sharing any kind of data where both the producer of data and the buyer of data have the power they deserve. Right now, the middle-man has all of the power and that is why the world is dominated by Google and Facebook. This is a fair and honest system which will be built without imposing unreasonable restrictions upon what can and cannot be done.
We are not a data collection company. We're a data energizing company.
We have created a Chrome/FF extension to which users can attach "DataSources" - simple community-made pieces of code which allow users to generate their own data. Our website hosts "Projects", which are pieces of work which want to crowdsource data from users using specific DataSources. DataSources are made and curated by the community, not by us, and they are open source so anybody can verify them. This gives the community direct access to raw data with its intrinsic innovative value for the coming AI revolution, while giving individual users direct access to the monetary value."

Startupinthecloud  Agrachina  AI  machine-learning  Data  Platform  open-data  opensource  Crowdfunding  Business_Advisory_relevant  Business_Model  Business  Project_Information_Platform  community  Marketing  UrB 
2 days ago by eocas

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