knowledge-graph | Creates knowledge graph from information | Graph Database library

by MixedEmotions Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | knowledge-graph Summary

knowledge-graph is a Python library typically used in Database, Graph Database, Neo4j applications. knowledge-graph has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However knowledge-graph build file is not available. You can download it from GitHub.

Creates Knowledge Graph from information processed by "Entity Extraction and Linking", and "Emotion Recognition from Text" module. This MixedEmotions Knowledge Graph was developed by NUIG. Knowledge Graph provides insight into relations between recognized entities using semantic knowledge from DBpedia. KG module uses entities that are recognised by "Entity Extraction and Linking" module, and extracts relations between the entities from DBpedia. Once the relations are extracted and filtered, they are stored in Elasticsearch database, where using Kibi they are visualized.

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Security

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knowledge-graph has a highly active ecosystem.

It has 34 star(s) with 12 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 579 days. There are no pull requests.

It has a positive sentiment in the developer community.

The latest version of knowledge-graph is current.

Quality

knowledge-graph has 0 bugs and 0 code smells.

Security

knowledge-graph has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

knowledge-graph code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

knowledge-graph is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

knowledge-graph releases are not available. You will need to build from source code and install.

knowledge-graph has no build file. You will be need to create the build yourself to build the component from source.

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

knowledge-graph saves you 254 person hours of effort in developing the same functionality from scratch.

It has 618 lines of code, 22 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed knowledge-graph and discovered the below as its top functions. This is intended to give you an instant insight into knowledge-graph implemented functionality, and help decide if they suit your requirements.

Create indexes
This function runs the pre - setter
Writes relations to Elasticsearch
Creates visualizations
Add default indexes
Returns a list of Datasets
Write a dashboard to Elasticsearch
Creates indexes for the given entities
Write a search to Elasticsearch
Get kibi relation configuration
Filters the results based on a single type
Write data to Elasticsearch
Grep the contents of the database
Given a subgraph of a subgraph return a set of subject names
Delete index list
Create a repres file
Update a configuration file
Merge existing configuration
Start the thread
Set variables from a dictionary

Get all kandi verified functions for this library.

knowledge-graph Key Features

No Key Features are available at this moment for knowledge-graph.

knowledge-graph Examples and Code Snippets

No Code Snippets are available at this moment for knowledge-graph.

Community Discussions

Trending Discussions on knowledge-graph

Using Google Vision API to Predict Score of User-Specified Labels

How to change angle of nodes and links in d3-force?

Use tensorflow's .ckpt model

Module 'spacy.util' has no attribute 'filter_spans' in Jupyter Notebook

QUESTION

Using Google Vision API to Predict Score of User-Specified Labels

Asked 2021-Mar-03 at 08:22

Suppose I have an image of a rainbow and would like to use Google Vision API to predict the score for a set of user-specified labels, for example:

...

ANSWER

Answered 2021-Mar-01 at 06:38

To answer your questions:

Yes it is possible return more than 10 labels. Just adjust the max_results in the request to do that.
Yes, you can cross check the entered user-specific label on the response from the API.
No, the labels used by Google are in a repository that is continuously growing in numbers which is probably in millions.

I did a different approach on using Vision API wherein I used batch_annotate_images() and used a request to define the type of detection that will be used. With this approach I can easily control the features to be used to process the image.

Source https://stackoverflow.com/questions/66384920

QUESTION

How to change angle of nodes and links in d3-force?

Asked 2020-Nov-16 at 10:30

I am new to d3-force, I find that it is difficult to change the angle of lines and nodes,you can run my code here.

Anyway, my code is very easy:

...

ANSWER

Answered 2020-Nov-16 at 10:30

I wouldn't use d3-force, but just calculate the positions yourself, using some basic trigonometry:

Source https://stackoverflow.com/questions/64832301

QUESTION

Use tensorflow's .ckpt model

Asked 2020-Sep-10 at 11:03

I used this code for training a model. I now have 3 files:

model.ckpt-1.meta
model.ckpt-1.index
model.ckpt-1.data-00000-of-00001

How (with what methods) can I use these models now?

...

ANSWER

Answered 2020-Sep-10 at 11:03

I'm not exactly sure what you mean with

How (with what methods) can I use these models now?

The model is not saved in those files but i can be restored with them.

Those*.ckpt get saved during training but do not contain your model. If you want to "use" your model you need to restore those files to it. Take a look at Tensorflow's Checkpoint and CheckpointManager. This tutorial shows a simple snipped of how to restore .ckpt files to your model.

Source https://stackoverflow.com/questions/63823994

QUESTION

Module 'spacy.util' has no attribute 'filter_spans' in Jupyter Notebook

Asked 2020-Jun-13 at 11:54

I have spacy version 2.2.4 (also tried with 2.1.4).

...

ANSWER

Answered 2020-Jun-08 at 15:45

The next code snippet worked for me with spacy 2.2.4 version installed:

Source https://stackoverflow.com/questions/62259356

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

Vulnerabilities

No vulnerabilities reported

Install knowledge-graph

You can download it from GitHub.
You can use knowledge-graph like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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