learning-layers/SocialSemanticServerClientSide

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Created over 10 years ago
Updated about 9 years ago

learning-layers/SocialSemanticServerClientSide

learning-layers

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TagRec

Towards A Standardized Tag Recommender Benchmarking Framework

android-openid-connect

A sample Android app that communicates with a non-Google OpenID Connect provider.

openid-connect-button

An OpenID Connect Button allowing arbitrary browser-based Web applications to authenticate and get access to user information using an external OpenID Connect Provider. The application itself must be registered as client at the OpenID Connect provider.

AchSo

Android video recording and annotation app for construction.

SocialSemanticServer

Cloud-Video-Transcoder

The Tethys Video Transcoder v2.0 project

LayersBox

A command line script to setup and configure a Layers Box.

SocRec

SocRec - Towards a Scalable Social Recommender Engine

BitsAndPieces

sardroid

Social augmented reality app (SoAR)

LAPPS

LivingDocumentsServer

LayersAdapter

openldap-Dockerfiles

LD-Meteor

Living Documents implemented in Meteor (web framework)

Layers-Dockerfiles

This repo contains all the basic Dockfiles used in the Layers Box.

Expert-Identification-Service

This services finds experts in Question-Answer forum like data structures. Experts are people with high level of knowledge which can contribute to novices. In Learning Layers project, social semantic server would require such a service for discovering the people with higher level of expertise.

BBApp

A central place to access workplace learning tools and apps

KnowBrain

reflect-server-side

Reflect serverside install repo

eis-Dockerfiles

Expert Identification Service

reflect-app

Reflect mobile application Phonegap repo

LivingDocumentsClient

sevianno

Role Widget for video annotations

layers-icons

Some SVG-based icons for Layers, to be used by Web Components.

OCD-Services

Here in this repository code and implementation regarding overlapping community detection (OCD) algorithms are brought. OCD services are useful finding communities of learners and overlapping learners among such communities. This service would contribute to scaling up information across communities of learners