Content extraction and data crawling provide important value to our customers. Our latest MESLIS Releases (DetectionService, MesService and Backend) and specially the brand new “Merge Locations Workflow” set a new standard for much higher quality of data on locations to our MESLIS users. The most important implementation and new features are highlighted in this summary.
Many of our customers sell volume licenses to their customers. These licenses cover a certain amount of music events per year at the particular location. Some licenses cover all type of music events some differ between licensed number of DJ events and licensed number of live music events and sometimes even a third number of background / mechanical music event. Collecting societies now use MESLIS to search and identify those locations which are under licensed. This is a very potential starting point for selling additional licenses. Find a brief description how easy this search works in MESLIS.
We celebrated 1st birthday, refreshed MESLIS start page and shipped two new MESLIS releases in February 2020. We now provide quite a few more important new features in MESLIS to our global customers. Our latest implementations in MESLIS focused on users productivity and searching, filtering and selecting the precise data for licensing. See the new look and read a list of major new features now available in MESLIS.
In December 2019 we startet our new research project – HUBBLE – HUman Behaviour-Based explainable machine LEarning. The target of this project is to research and implement new methods and technologies for machine learning based text EXTRACTION from digital sources (websites, social media etc.) and – based on this – a multilingual text CLASSIFICATION to categorize the extracted content. Both developments will be very important new features for MESLIS – our business application for global collecting societies.
MESLIS – Music-Event-System-Location-Ident-System – provided by deecoob – has been a huge success since we started this journey by the end of 2014. Three and a half years later, in 2018 we launched our international strategy to establish MESLIS as the #1 Data Hub for global Collecting Societies. During that year we presented MESLIS for the first time to a global audience at MIDEM 2018 – leading conference for the global music community, taking place in Cannes, France.
During the last 18 months we have been very successful providing a state of the art cloud solution and valuable licensing leads to global collecting societies. MESLIS already covers 14 different countries worldwide with more than 500 million inhabitants. Here are some remarkable statistics from MESLIS 2020.
The last Release in 2020 again marks a large footprint in the short history of MESLIS: We introduced a new customer self service in MESLIS. Users can now reset their password, they can use a “Change password” dialog to set their own password or just define a new one. If a user has forgotten his/her password, he/she can use the “Request a password reset” feature right at the starting page of MESLIS.
On November 1st 2019, Buma/Stemra and Sena started with MESLIS (Music-Event-System-Location-Ident-System) of deecoob Technology to maximize market coverage in the Dutch events sector. MESLIS is a cloud based IT-solution, an innovative self-learning system to automatically map events, locations, organizers, artists and setlists.
Setlists are very important for our customers business. Collecting societies need to have reliable information about the songs which were performed during a concert, the artists who played and who created these songs and so on. Therefore customers asked us again and again whether it is necessary to automatically crawl, extract and provide data on setlists within MESLIS. Today we are very proud to announce that we have made a first step to fulfill this strong requirement: We have just released the new Setlist Feature within MESLIS.
This week – from 20 to 25 October 2019 – Mandy Keck and Thomas Gründer from Technische Universität Dresden represent the VANDA team in Vancouver and participate at the international IEEE VIS conference, which is the worldwide largest and most important conference on Information Visualization, Visual Analytics and Scientific Visualization. The conference started on Sunday with many interesting and inspiring keynotes, talks and tutorials, such as Explainable AI, Visual Design and Analysis, and Visualizations for Machine Learning.
During the last weeks of MESLIS development we strongly focused on some minor new features, improving user experiences, users productivity and bugfixes. This period of consolidation was very good for the application and our development team after having released two major releases before: Release 2.x with Location Search and Release 3.x with Shared Leaflets. To learn more about these two features read the according blog posts. The new version of MESLIS today however comes with a new Export feature which is slightly different to the already existing Export Routine.
From 2017 until end of August 2019 deecoob was successfully working on the research project “RECAM”. This was a cooperation project between deecoob Technology GmbH and the Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida (HSMW). The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media. The goal was to develop a technology for automated, computer-forensic investigation of use and misuse of copyrights at music events. The application uses web crawlers and full-text indexers and provides interfaces with Facebook, Instagram, Twitter, epaper, and Web pages. The purpose is to analyze, process, and qualify textual data from publicly available sources.
The industrial partners Mercateo AG, chemmedia AG and deecoob Technology GmbH, together with the Technische Universität Dresden (TUD), worked on the joint R&D project “Visual Analytics Interfaces for Big Data Environments – VANDA” in the period 2016 to 2019. The aim of this project was to address the so-called four “V´s” – Volume, Velocity, Variety and Veracity – as the challenge of Big Data driven interfaces and applications. The research work was carried out both in the backend area, i.e. the efficient processing of Big Data, and in the frontend, i.e. the intuitive visualization of Big Data. In the course of the project, best practice solutions for visualization and backend processes were researched, developed and implemented in the form of demonstrators.
Today the next big development step of MESLIS has been finished and released: We introduce our new Collaborative Customer Leaflets also called Shared Leaflets. This provides an absolutely new dimension to our customers: Users can now work with MESLIS in close cooperation in teams. They can create their own leaflets, share them with their team members and select jointly their leads onto these shared leaflets for later processing and exporting.
The big jump from Release 1.x to Release 2.x symbolizes an important development and great new feature in MESLIS. We are happy to announce the brand new “Location Search” in our Music-Event-System-Location-Ident-System. From today on it is possible to search either for specific Events but also and separately for specific locations within MESLIS. These are two major search approaches of our customers – Event Search / Location Search. A third approach – searching for specific organizers – will in 2020 be implemented in MESLIS.
In June 2019 we presented our research results at OUTPUT.DD and the 50 Years of university computer science education in Dresden celebration. OUTPUT.DD is the project presentation of the Faculty of Computer Science of the Technische Universität Dresden where research results are presented to the general public once a year.
MESLIS Release 1.6 brings a significant relief to all network administrators working for our customers: MESLIS is now able to use any default https port so there is no longer any need to configure specific ports, change network or security configuration or even to install anything on the customer side. MESLIS comes as a pure Software-as-Service (SaaS) or Cloud-Application to all users on the customer side. The users receive the URL, their user name and password and start working with MESLIS immediately.
In our continuous development of MESLIS WebApp during the last couple of weeks we set a strong focus on artist detection, event tags, data matching and key performance indicators.
MESLIS clients, collecting societies worldwide often need to know what artists performed on particular events to define the right license and correct amount of invoice for licensing those events. Some collecting societies even provide scores to individual artists to rank them. The web content extraction feature of MESLIS from now on automatically identifies and extracts all artist names from any digital, text based event description. These artist names are listed for sorting, searching, filtering and processing within a certain column and field in MESLIS WebApp. All users can search and filter for those artists and even select from an individually defined range of artist scores.
After launching our new MESLIS WebApp in February, the first release in March brought some minor bug fixes and a list of new features to our customers. Those features pretty much focused on improving the table view and event search in MESLIS. With the second release in March we introduced additional filtering opportunities, a re-design of the detail view of events and we improved the performance of loading pages within MESLIS WebApp.
On February 11th 2019 deecoob has launched release 1.0.0 of the brand new MESLIS WebApp. MESLIS – Music-Event-System-Location-Ident-System (www.meslis.com) is a search engine and web monitoring solution tailored for global Collecting Societies. From today on all international customers can use MESLIS as Cloud based Software Application. There is no need for any local installation on the customer side. Just use a browser, login at https://app.meslis.com and start increasing your licensing business.
Together with our partner we are currently working on the research project “RECAM”. This is a cooperation project between deecoob Technology GmbH and the Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida, Germany. The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media. Our university partner has recently published a paper for the SEMAPRO 2018 conference: The Twelfth International Conference on Advances in Semantic Processing. The paper highlights some important results from the research project.
