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.
Midem is the leading international event for the global music community. The conference is dedicated to helping the music industry and its partners develop business and creativity by bringing together the key players of the music ecosystem. Midem was launched in 1967 and takes place in June every year in Cannes, France. deecoob attended Midem for the first time in 2018. The conference was a huge success to the global promotion of our MESLIS Application.
The VANDA team seized the opportunity to present the current research of the project at the 20th installation of the Round Table of Visual Engineering (Runder Tisch der Technischen Visualistik). The event was entitled “Learning in a Sea of Data” and was opened by Prof. Rainer Groh, who looked back on the 19 prior events.
Together with our partner we have started working on the new research project “RECAM”. This project is a cooperation project between deecoob Technology GmbH and Forensic Sience Investigation Lab at the University of Applied Sciences Mittweida. The abbreviation “RECAM” stands for retrospektive event monitoring for computer forensic enlightenment of copyright misuse on the basis of publicly available digital media.
Last Thursday, we presented our current research results at OUTPUT.DD in the Faculty of Computer Science – Technische Universität Dresden. Interested visitors could test our glyphboard demonstrator and solve analysis tasks with different glyph visualizations.
Together with our partners, we started working on our new research project “VANDA Visual and Analytics Interfaces for Big Data Environments”. The goal is to develop big data driven interfaces, which allow efficient access to strongly growing and differently structured data sets. The research work does not only involve processing of large amounts of data (volume) but also entails challenges in quality and speed of data processing.
