plokamos | RDF-based annotations for Perseids | Data Labeling library

by perseids-project JavaScript Version: 0.0.8-fixed License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | plokamos Summary

plokamos is a JavaScript library typically used in Artificial Intelligence, Data Labeling applications. plokamos has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Plokamos is a web-client for creating, editing and viewing annotations in controlled vocabularies. Plokamos is meant to be applied onto web-content using the Open Annotation address and selector scheme to anchor annotations in their target data. Currently it is restricted to text-based annotation with the OA:TextQuoteSelector but extending it to further types of selectors that can annotate other kinds of data sources is planned for the near future. The annotation body is expressed as linked data using controlled vocabularies and ontologies that Plokamos retrieves from a remote triple store. The data architecture allows for segmenting and merging the individual annotations according to a range of parameters, enabling collaboration between users and across single documents or entire collections/corpora.

Support

Quality

Security

License

Reuse

Support

plokamos has a low active ecosystem.

It has 6 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 27 open issues and 82 have been closed. On average issues are closed in 46 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of plokamos is 0.0.8-fixed

Quality

plokamos has no bugs reported.

Security

plokamos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

plokamos is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

plokamos releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

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plokamos Key Features

No Key Features are available at this moment for plokamos.

plokamos Examples and Code Snippets

No Code Snippets are available at this moment for plokamos.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

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ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install plokamos

Plokamos uses Rollup.js as its build system. After installing its dependencies with bower install & npm install, the command to compile the source into a monolithic JS file is simply rollup -c. Currently rdfstore-js is not being compiled and needs to be provided manually. Likewise, styling from the annotator.css file needs to be available for the UI to display correctly. Currently, Plokamos is meant to be used as a plugin to the Nemo/Capitains CTS web interface. The plugin provides configuration of the document ID and the address of a remote triple store via HTML data attributes.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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