Redfine aims to extend OpenRefine to make use of the Redlink APIs for a more advance and performance solution for publishing Linked Data.
A proposal by Redlink GmbH to the Fusepool Open Call for Developers at the Data|Hack|Award 2014.
Gettext i18n system - internationalization for gettextLingoHub
Gettext is a popular internationalization and localization system. You'll find an official library for using gettext in your application in almost any programming language. So we've summarized all important aspects of the gettext i18n system.
Gettext i18n system - internationalization for gettextLingoHub
Gettext is a popular internationalization and localization system. You'll find an official library for using gettext in your application in almost any programming language. So we've summarized all important aspects of the gettext i18n system.
This slides I've used on talk about Semantic Web use-case. Not all know what exactly Semantic Web is about. So I've created set of slides showing this in a simple and correct way. Use-case slides are removed on this public available slides. Animated version here goo.gl/qKoF6k . Contact me for sources!
Evaluation of TPC-H on Spark and Spark SQL in ALOJADataWorks Summit
The Evaluation of TPC-H on Spark and Spark SQL in ALOJA was conducted at the Big Data Lab to obtain the master degree in Management Information Systems at the Johann-Wolfgang Goethe University in Frankfurt, Germany. Furthermore, the analysis was partially accomplished in collaboration and close coordination with the Barcelona Super Computer Center.
The intention of this research was the integration of a TPC-H on Spark Scala benchmark into ALOJA, an open-source and public platform for automated and cost-efficient benchmarks and to perform an evaluation on the runtime of Spark Scala with or without Hive Metastore compared to Spark SQL. Various alternate file formats with different applied compressions on underlying data and its impact are evaluated. The conducted performance evaluation exposed diverse and captivating outcomes for both benchmarks. Further investigations attempt to detect possible bottlenecks and other irregularities. The aim is to provide an explanation to enhance knowledge of Spark’s engine based on examining the physical plans. Our experiments show, inter alia, that: (1) Spark Scala performs better in case of heavy expression calculation, (2) Spark SQL is the better choice in case of strong data access locality in combination with heavyweight parallel execution. In conclusion, diverse results were observed with the consequence that each API has its advantages and disadvantages.
Surprisingly, our findings are well spread between Spark SQL and Spark Scala and contrary to our expectations Spark Scala did not outperform Spark SQL in all aspects but support the idea that applied optimizations appear to be implemented in a different way by Spark for its core and its extension Spark SQL. The API on top of Spark provides extra information about the underlying structured data, which is probably used to perform additional optimizations.
In conclusion, our research demonstrates that there are differences in the generation of query execution plans that goes hand-in-hand with similar discoveries leading to inefficient joins, and it underlines the importance of our benchmark to identify disparities and bottlenecks.
Speaker
Raphael Radowitz, Quality Specialist, SAP Labs Korea
Managing Multiple Open Toolkit Configurations Using git Lightning TalkContrext Solutions
Briefly presents my technique for using a git repository to manage dozens of different Open Toolkit configurations.
Presented at DITA Open Toolkit Day 2015 in Munich, Germany.
On-Demand RDF Graph Databases in the CloudMarin Dimitrov
slides from the S4 webinar "On-Demand RDF Graph Databases in the Cloud"
RDF database-as-a-service running on the Self-Service Semantic Suite (S4) platform: http://s4.ontotext.com
video recording of the talk is available at http://info.ontotext.com/on-demand-rdf-graph-database
Lynx Webinar #4: Lynx Services Platform (LySP) - Part 2 - The ServicesLynx Project
Free Webinar on the Lynx Services Platform LySP: Architecture and basic Services
The main objective of the Lynx research and innovation project is to create an ecosystem of smart cloud services to better manage compliance, based on a Legal Knowledge Graph (LKG) which integrates and links multilingual and heterogeneous compliance data sources including legislation, case law, standards, regulations and other private contracts, beside others.
This webinar will provide insights into all smart services of the Lynx Services Platform (LySP) including demos of these LySP services, as for instance: Named Entity Extraction (NER) by DFKI, Relation Extraction and Question-Answering by SWC, Machine Translation by Tilde or the Lexicala cross-lingual lexical data service by KDictionaries.
In this presentation, we describe the underlying principles of the Semantic Web along with the core concepts and technologies, how they fit in with the Grails Framework and any existing tools, API\'s and Implementations.
We describe the NIF approach towards representing annotations and focus on roundtripping: the conversion of existing digital content from formats like Word, HTML etc. into NIF and re-integration of annotations into the original file format. Such roundtripping is needed for many industry applications of linguistic linked data and natural language processing. Roundtripping is not always possible and constrained by 1) possibilities to store annotations in the original format, while preserving existing information (e.g. HTML inline tags) and 2) constraints of the annotation model, which is basicaly tree-structured for markup languages like generic XML or HTML. There is no general solution to this problem. Developers of roundtripping applications should use existing libraries as much as possible and leverage them to their needs.
Text Analytics & Linked Data Management As-a-ServiceMarin Dimitrov
slides from the talk on "Text Analytics & Linked Data Management As-a-Service with S4" from the ESWC'2015 workshop on Semantic Web Enterprise Adoption & Best Practices
full paper available at http://2015.wasabi-ws.org/papers/wasabi15_1.pdf
Free Webinar on the Lynx Services Platform LySP: Architecture and basic Services.
The main objective of the Lynx research and innovation project is to create an ecosystem of smart cloud services to better manage compliance, based on a Legal Knowledge Graph (LKG) which integrates and links multilingual and heterogeneous compliance data sources including legislation, case law, standards, regulations and other private contracts, beside others.
This webinar - with a focus on a technical audience - will provide insights into (i) the overall architecture of the Lynx Services Platform (LySP), (ii) and overview of LySP Services, and (iii) details and demos of the LySP basic services, like Document Manager, Workflow Manager, API Manager, and Authorization & Identity Management.
Analysts predict that the Hadoop market will reach $50.2 billion USD by 2020.1 Applications driving these large expenditures are some of the most important workloads for businesses today including:
• Analyzing clickstream data, including site-side clicks and web media tags. • Measuring sentiment by scanning product feedback, blog feeds, social media comments, and Twitter streams. • Analysis of behavior and risk by capturing vehicle telematics. • Optimizing product performance and utilization by gathering data from built-in sensors. • Tracking and analyzing people and material movement with location-aware systems. • Identifying system performance and intrusion attempts by analyzing server and network log. • Enabling automatic document and speech categorization. • Extracting learning from digitized images, voice, video, and other media types.
Predictive analytics on large data sets provides organizations with a key opportunity to improve a broad variety of business outcomes, and many have embraced Apache Hadoop as the platform of choice.
In the last few years, large businesses have adopted Apache Hadoop as a next-generation data platform, one capable of managing large data assets in a way that is flexible, scalable, and relatively low cost. However, to realize predictive benefits of big data, organizations must be able to develop or hire individuals with the requisite statistics skills, then provide them with a platform for analyzing massive data assets collected in Hadoop “data lakes.”
As users adopted Hadoop, many discovered performance and complexity limited Hadoop’s use for broad predictive analytics use. In response, the Hadoop community has focused on the Apache Spark platform to provide Hadoop with significant performance improvements. With Spark atop Hadoop, users can leverage Hadoop’s big-data management capabilities while achieving new performance levels by running analytics in Apache Spark.
What remains is a challenge—conquering the complexity of Hadoop when developing predictive analytics applications.
In this white paper, we’ll describe how Microsoft R Server helps data scientists, actuaries, risk analysts, quantitative analysts, product planners, and other R users to capture the benefits of Apache Spark on Hadoop by providing a straightforward platform that eliminates much of the complexity of using Spark and Hadoop to conduct analyses on large data assets.
This slides I've used on talk about Semantic Web use-case. Not all know what exactly Semantic Web is about. So I've created set of slides showing this in a simple and correct way. Use-case slides are removed on this public available slides. Animated version here goo.gl/qKoF6k . Contact me for sources!
Evaluation of TPC-H on Spark and Spark SQL in ALOJADataWorks Summit
The Evaluation of TPC-H on Spark and Spark SQL in ALOJA was conducted at the Big Data Lab to obtain the master degree in Management Information Systems at the Johann-Wolfgang Goethe University in Frankfurt, Germany. Furthermore, the analysis was partially accomplished in collaboration and close coordination with the Barcelona Super Computer Center.
The intention of this research was the integration of a TPC-H on Spark Scala benchmark into ALOJA, an open-source and public platform for automated and cost-efficient benchmarks and to perform an evaluation on the runtime of Spark Scala with or without Hive Metastore compared to Spark SQL. Various alternate file formats with different applied compressions on underlying data and its impact are evaluated. The conducted performance evaluation exposed diverse and captivating outcomes for both benchmarks. Further investigations attempt to detect possible bottlenecks and other irregularities. The aim is to provide an explanation to enhance knowledge of Spark’s engine based on examining the physical plans. Our experiments show, inter alia, that: (1) Spark Scala performs better in case of heavy expression calculation, (2) Spark SQL is the better choice in case of strong data access locality in combination with heavyweight parallel execution. In conclusion, diverse results were observed with the consequence that each API has its advantages and disadvantages.
Surprisingly, our findings are well spread between Spark SQL and Spark Scala and contrary to our expectations Spark Scala did not outperform Spark SQL in all aspects but support the idea that applied optimizations appear to be implemented in a different way by Spark for its core and its extension Spark SQL. The API on top of Spark provides extra information about the underlying structured data, which is probably used to perform additional optimizations.
In conclusion, our research demonstrates that there are differences in the generation of query execution plans that goes hand-in-hand with similar discoveries leading to inefficient joins, and it underlines the importance of our benchmark to identify disparities and bottlenecks.
Speaker
Raphael Radowitz, Quality Specialist, SAP Labs Korea
Managing Multiple Open Toolkit Configurations Using git Lightning TalkContrext Solutions
Briefly presents my technique for using a git repository to manage dozens of different Open Toolkit configurations.
Presented at DITA Open Toolkit Day 2015 in Munich, Germany.
On-Demand RDF Graph Databases in the CloudMarin Dimitrov
slides from the S4 webinar "On-Demand RDF Graph Databases in the Cloud"
RDF database-as-a-service running on the Self-Service Semantic Suite (S4) platform: http://s4.ontotext.com
video recording of the talk is available at http://info.ontotext.com/on-demand-rdf-graph-database
Lynx Webinar #4: Lynx Services Platform (LySP) - Part 2 - The ServicesLynx Project
Free Webinar on the Lynx Services Platform LySP: Architecture and basic Services
The main objective of the Lynx research and innovation project is to create an ecosystem of smart cloud services to better manage compliance, based on a Legal Knowledge Graph (LKG) which integrates and links multilingual and heterogeneous compliance data sources including legislation, case law, standards, regulations and other private contracts, beside others.
This webinar will provide insights into all smart services of the Lynx Services Platform (LySP) including demos of these LySP services, as for instance: Named Entity Extraction (NER) by DFKI, Relation Extraction and Question-Answering by SWC, Machine Translation by Tilde or the Lexicala cross-lingual lexical data service by KDictionaries.
In this presentation, we describe the underlying principles of the Semantic Web along with the core concepts and technologies, how they fit in with the Grails Framework and any existing tools, API\'s and Implementations.
We describe the NIF approach towards representing annotations and focus on roundtripping: the conversion of existing digital content from formats like Word, HTML etc. into NIF and re-integration of annotations into the original file format. Such roundtripping is needed for many industry applications of linguistic linked data and natural language processing. Roundtripping is not always possible and constrained by 1) possibilities to store annotations in the original format, while preserving existing information (e.g. HTML inline tags) and 2) constraints of the annotation model, which is basicaly tree-structured for markup languages like generic XML or HTML. There is no general solution to this problem. Developers of roundtripping applications should use existing libraries as much as possible and leverage them to their needs.
Text Analytics & Linked Data Management As-a-ServiceMarin Dimitrov
slides from the talk on "Text Analytics & Linked Data Management As-a-Service with S4" from the ESWC'2015 workshop on Semantic Web Enterprise Adoption & Best Practices
full paper available at http://2015.wasabi-ws.org/papers/wasabi15_1.pdf
Free Webinar on the Lynx Services Platform LySP: Architecture and basic Services.
The main objective of the Lynx research and innovation project is to create an ecosystem of smart cloud services to better manage compliance, based on a Legal Knowledge Graph (LKG) which integrates and links multilingual and heterogeneous compliance data sources including legislation, case law, standards, regulations and other private contracts, beside others.
This webinar - with a focus on a technical audience - will provide insights into (i) the overall architecture of the Lynx Services Platform (LySP), (ii) and overview of LySP Services, and (iii) details and demos of the LySP basic services, like Document Manager, Workflow Manager, API Manager, and Authorization & Identity Management.
Analysts predict that the Hadoop market will reach $50.2 billion USD by 2020.1 Applications driving these large expenditures are some of the most important workloads for businesses today including:
• Analyzing clickstream data, including site-side clicks and web media tags. • Measuring sentiment by scanning product feedback, blog feeds, social media comments, and Twitter streams. • Analysis of behavior and risk by capturing vehicle telematics. • Optimizing product performance and utilization by gathering data from built-in sensors. • Tracking and analyzing people and material movement with location-aware systems. • Identifying system performance and intrusion attempts by analyzing server and network log. • Enabling automatic document and speech categorization. • Extracting learning from digitized images, voice, video, and other media types.
Predictive analytics on large data sets provides organizations with a key opportunity to improve a broad variety of business outcomes, and many have embraced Apache Hadoop as the platform of choice.
In the last few years, large businesses have adopted Apache Hadoop as a next-generation data platform, one capable of managing large data assets in a way that is flexible, scalable, and relatively low cost. However, to realize predictive benefits of big data, organizations must be able to develop or hire individuals with the requisite statistics skills, then provide them with a platform for analyzing massive data assets collected in Hadoop “data lakes.”
As users adopted Hadoop, many discovered performance and complexity limited Hadoop’s use for broad predictive analytics use. In response, the Hadoop community has focused on the Apache Spark platform to provide Hadoop with significant performance improvements. With Spark atop Hadoop, users can leverage Hadoop’s big-data management capabilities while achieving new performance levels by running analytics in Apache Spark.
What remains is a challenge—conquering the complexity of Hadoop when developing predictive analytics applications.
In this white paper, we’ll describe how Microsoft R Server helps data scientists, actuaries, risk analysts, quantitative analysts, product planners, and other R users to capture the benefits of Apache Spark on Hadoop by providing a straightforward platform that eliminates much of the complexity of using Spark and Hadoop to conduct analyses on large data assets.
IBM InfoSphere BigInsights for Hadoop: 10 Reasons to Love ItIBM Analytics
Originally Published on Oct 15, 2014
IBM InfoSphere BigInsights is an industry-standard Hadoop offering that combines the best of open-source software with enterprise-grade features.
- #1 InfoSphere BigInsights is 100% standard, open-source Hadoop
- #2 Big SQL - Lightning fast, ANSI-compliant, native Hadoop formats
- #3 BigSheets - Spreadsheet-like data access for business users
- #4 Big Text - Simplify text analytics and natural language
- #5 Adaptive MapReduce - Fully compatible, four times faster
- #6 In-Hadoop Analytics - Deploy the analytics to the data
- #7 HDFS and POSIX - a more capable enterprise file system
- #8 Big R - Deep R Language integration in Hadoop
- #9 IBM Watson Explorer - Search, explore and visualize all your data
- #10 Accelerators - Get to market faster leveraging pre-written code
To learn more about IBM InfoSphere BigInsights, download the free InfoSphere BigInsights QuickStart Edition from http://ibm.com/hadoop.
Furniture showroom management system project.pdfKamal Acharya
The Project deals with the development of the computerized system for maintaining the regular records and services that are undertaken in the furniture business. This project titled "Web Based Integrated Furniture Showroom Management System" has been aimed to design and computerized system that can handle various activities are been carried out at the Furniture Showroom. This application has been developed using PHP Programming Language as its front end and the back end is MYSQL Server In the existing system all the activities and record maintenance of the furniture showroom are done manually by the manager. The Project deals with the development of the computerized system for maintaining the regular records and services that are undertaken in this most important and large business oriented furniture business. This Project also enables the users to perform all the day to day business operations in the furniture showroom business most efficiently.
6 Best OpenAPI Documentation Tools that You must KnowMars Devs
Unless you re alone utilizing the API, you should thoroughly document it But manually would be tedious. But which is the best? To solve your dilemma, MarsDevs will highlight some of the best API documentation tools available to make documentation simpler! Let’s start with the basics.
Click here to know more: https://www.marsdevs.com/blogs/6-best-openapi-documentation-tools
Data Analysis and Visualization: R WorkflowOlga Scrivner
The lecture introduces to R project set-up, planning and deploying as well as to the concept of tidy data (Wickham and Grolemund, 2017).
Visual Insights Talks 2018 at
http://ivmooc.cns.iu.edu/
http://cns.iu.edu/
Watch this exciting panel discussion on SAP DevOps with Helen (Senior Director, Partner go-to-market) and Jayanth Bagare ( Director, SAP Academy)
and Niranjan Gattupalli ( Founder CEO, ReleaseOwl)
The Video will also showcase, ReleaseOwl ONE Native DevOps Platform for both SAP On-Prem and Cloud Applications.
Experience seamless change and release management for your SAP On-Prem Transports, ABAP Cloud (Steampunk) , CPI, and applications built on SAP Business Technology Platform with ReleaseOwl.
Present and future of unified, portable, and efficient data processing with A...DataWorks Summit
The world of big data involves an ever-changing field of players. Much as SQL stands as a lingua franca for declarative data analysis, Apache Beam aims to provide a portable standard for expressing robust, out-of-order data processing pipelines in a variety of languages across a variety of platforms. In a way, Apache Beam is a glue that can connect the big data ecosystem together; it enables users to "run any data processing pipeline anywhere."
This talk will briefly cover the capabilities of the Beam model for data processing and discuss its architecture, including the portability model. We’ll focus on the present state of the community and the current status of the Beam ecosystem. We’ll cover the state of the art in data processing and discuss where Beam is going next, including completion of the portability framework and the Streaming SQL. Finally, we’ll discuss areas of improvement and how anybody can join us on the path of creating the glue that interconnects the big data ecosystem.
Speaker
Davor Bonaci, Apache Software Foundation; Simbly, V.P. of Apache Beam; Founder/CEO at Operiant
INTERFACE, by apidays - Lessons learned from implementing our custom ‘Big Da...apidays
INTERFACE, by apidays 2021 - It’s APIs all the way down
June 30, July 1 & 2, 2021
Lessons learned from implementing our custom ‘Big Data’ API DSL
David Wobrock, Senior Lead API Engineer at Botify
Securing Red Hat OpenShift Containerized Applications At Enterprise ScaleDevOps.com
Improve and simplify securing Red Hat OpenShift containerized environments by leveraging CyberArk’s secrets management solutions and out-of-the-box certified integrations. This demo heavy technical session expands on the prior webinar and uses demos and examples to give practical guidance on how to improve securing your organization’s containerized applications. All while avoiding impacting developer velocity.
This session will provide:
A clear understanding of the challenges and requirements for securing Kubernetes and Red Hat OpenShift containerized environments at enterprise scale
The benefits of enhancing the native secrets management and security capabilities of OpenShift with CyberArk’s certified integrations
Guidance to address common security challenges, including achieving enterprise scale and availability, minimizing the time spent on audit and compliance requests, avoiding problems with developer adoption
Practical steps to get started using Conjur Open Source and next steps
CyberArk, the global leader in privileged access management, offers the industry’s most complete solution for securing both the credentials and secrets used by applications, Playbooks, scripts and other non-human identities, as well as human users. CyberArk solutions are deployed at many of the world’s largest enterprises including over half the Fortune 500.
Open Source Compliance at Orange, OW2online, June 2020OW2
Presentation by Nicolas Toussaint, Software Architect, Orange.
Abstract: Orange and Orange Business Services have turned to full open source solutions to tackle the complex problem of respecting the open source legal compliance constraints.
This talk presents the journey undertaken the past few years to build and improve the existing tooling and processes to make compliance validation possible, as well as allow overseeing progresses.
Trends in software architecture: a professional (des)orientationSergio Fernández
Invited talk to the Software Architecture course at the Bachelor Degree in Computer Science of the University of Oviedo. Further details at https://ingenieriainformatica.uniovi.es/actualidad/eventos/-/asset_publisher/uS6D/content/deteccion-de-sesgo-algoritmico-1
Development Infrastructure for MICO, Media in Context FP7 Project, presented in the project kick-off meeting, Salzburg , Nov 14, 2013.
Further details at http://www.mico-project.eu
Barra libre en proyectos de software... pero sólo hasta media noche Sergio Fernández
Ponencia invitada para la asigantura de Dirección y gestión de proyectos web de 2º del Máster en Ingeniería Web de la Universidad de Oviedo.
Oviedo, 26 de octubre de 2011.
TRIOO, Keeping the Semantics of Data Safe and Sound into Object-Oriented Soft...Sergio Fernández
Talk of the paper with the same title at the 5th International Conference on Software and Data Technologies (ICSOFT 2010), Athens, Greece, July 22-24, 2010.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
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2. @RedlinkGmbH
linkedin.com/company/redlink-gmbh
redlink.co
Who Are We
RedLink GmbH is an Austrian startup that provides
cloud services for Content Analysis, Linked Data
Publishing and Semantic Search.
The team behind Redlink counts in the founders of
projects like Apache Marmotta or Apache Stanbol, who
also contribute to other relevant open source projects,
such as OpenRefine.
Redlink GmbH
3. Redfine
1
Refine structured data into Linked Data with Redlink
2
3
clean and transform your data
reconciliation based on custom vocabularies
Linked Data publication with lowest effort
using Redlink Data API
using Redlink Analysis API
using OpenRefine and the RDF extension
Further details about the Redlink APIs at dev.redlink.io/api
4. Deliverables
According to the proposal described, the
project will deliver the results in two ways:
● Extension for OpenRefine 2.6.x, bundling
together the implemented features
[Product, Open Source, APL 2.0]
● Screencast introducing the tool
developed and performing a practical
demonstration [Report, Public, CC 4.0]