Precision through semantic publishing
The system’s goal is enabling the publishing of content from multiple channels – from websites, mobile apps, to automatic services of intersystem integration. Such an approach allows for the complete control of publishing without the need to involve redundant subsystems dedicated to specific media types.
Semantic content management technologies allow for significant enhancements in terms of automation processes, e.g. in the workings of search engines, which may greatly improve content visibility.
Web full of meaning
MAGI’s main functionality consists in building content based on precise and unambiguous descriptions. These descriptions, apart from providing relevant information about the content, allow for its subsequent analysis through the use of various types of software. Since MAGI is based on standards defined by the W3C in the field of Semantic Web, it is possible to express data in a unified manner, making it readable for both external and internal software. This is a result of analysing not only keywords, but also the rich relations between components of a given piece of content. Thanks to MAGI, tracking such relations is now even easier!
MAGI’s innovative architecture allows for the system to be adjusted to the needs of the potential customer. From a simple structure based on a single server, to complex clusters provided with data from one centralised system- the possibilities are endless.
Apart from its scalability, our solution allows for the relative easy of expansion through the addition of new functions. One such solution is the CQRS architecture, which allows user to apply new features and capabilities of the system to already existing data.
Image 1. CQRS architecture
MAGI has been designed so that, apart from its expandability it allows for the easy configuration and replacement of individual components. For example, the user interface available in the administrative section – although being entirely compliant with the latest trends, including Responsive Web Design (RWD) – can be replaced altogether with a different solution adjusted to a client’s needs, e.g. for use with an iPad.
This degree of flexibility also pertains to other components, such as the database or the data structures describing content.
Image 2. An example of a user panel smartphone view
One source – multiple target channels
The system is constructed in such a way so that users may publish content in forms that are optimal for different channels of communication. This applies to both websites realised using modern technologies, search engine bots and machine learning software complaint with Semantic Web standards, as well as other channels for content publishing and processing.
MakoLab USA Inc.
2153 S.E. Hawthorne Road, Suite 205
Gainesville, Florida 32641
Call us: +1 (774) 326-0850
E-mail us: info-us[at]makolab.com