Name: Samir SELLAMI
Type: User
Bio: Samir Sellami is an Associate Teacher in the Department of Mathematics and Computer Science at the High School of Technological Teaching ENSET-Skikda, Algeria.
Twitter: Samorcool
Location: Skikda
covid-19_algeria-dashboard
Algeria Coronavirus COVID-19 Dashboard
k-means_clustering
This is an unsupervised cluster analysis for identifying groups of approaches most similar in functionality to MidSemI. We evaluated the integration systems in related works section against the assessment presented in Table 3. The results are summarized in Table 4. In order to achieve this purpose, we transformed Table 4 into a matrix with numerical values that denote normalized distances (in the range [0-1]) among features, values close to 1 indicate proximity to the best implementation of this feature or dimension. We calculated distances related to dimensions by summing distances of all the features belongs to given dimension divided by their number. Figure 14 (a) reports the distances values for both features and dimensions. We employed *Weka* [https://www.cs.waikato.ac.nz/ml/weka/] which is a well-known machine learning analysis tool to perform the clustering. We applied the K-Means clustering algorithm with K=4. By clustering ten systems to four clusters, we aim at identifying a medium groups of systems which share similar function and to reveal dependencies encoded in the vector representation. Figure 14 (b) depicts the clustering results. The first cluster includes MidSemI along with FuhSen and LDIF systems. The second cluster contains OD CleanStore and LSM tools. The Third cluster holds MOMIS and SWIS systems. The rest of systems Mastro, KRAFT and OBSERVER form the last cluster. We generated the positions of clusters randomly, and the radius of each bubble is proportional to the sum of features distances for each system. Figure 15 (a) and (b) plots comparison of features and dimensions coverage respectively concerning only the first cluster that holds systems closest to our MidSemI approach (FuhSen and LDIF).
karaamozi
This is an internship portal where you can post and apply for internships
keyfs
KeyFS: Keyword-based Faceted Search over integrated data. The engine in KeyFS is based on our MidSemI middleware and our KGMap semantic mapping approach. KeyFS is equipped with a reactive faceted browsing interface designed to facilitate the exploration of integrated data behind the knowledge graph.
kgmap
KGMap: Knowledge Graph Mapping Model is a Middelware for leveraging knowledge graphs by bridge between heterogeneous relational, social and linked data. It consists of three sub-models: the knowledge graph representation model, the sources metadata de-scription model, and the mapping model. KGMap maintains these models and defines different mapping cases. The main goal is to assist an expert identifying mapping candidates relying on an algorithm which calculate a similarity measure to determine relatedness between the sources metadata elements and knowledge graph schema elements. The implementation of the KGMap is a service-oriented middleware that relates entities about persons, organizations, and products from private enterprise CRM relational database with semi-structured Facebook social data and DBpedia dataset.
midsemi
MidSemI is a mediator-based integration system that integrate information and searches for entities about persons, organizations, and products in internal enterprise CRM relational database and link it with semi-structured Facebook social network data and structured DBPedia linked data.
odoo_dev
My custom Odoo modules repository
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
