MOMA Semantic Framework
Making the management of information assets more effective and efficient is today's main challenge for businesses defined as "Knowledge Intensive Organisation", whatever their field of interest and market sector (telecommunications, energy, publishing and media, manufacturing, retail, finance, public administration, etc.).
MOMA Semantic Framework (MSF) provides an array of tools and features with high ductility for the creation of ad hoc innovative solutions tailored to business processes where the following are key factors:
- optimal management of huge amount of data coming from heterogeneous information sources;
- intelligent search of information, to be enabled according to specific user profiles.
The use of tools made available in MSF for the conceptualization, classification and semantic research allow, in accordance with given vertical solutions, to enhance business processes based on systems of enterprise management such as CRM, ERP and troubleshooting.
An example of MSF application may refer to the efficiency boosting of service desk processes. The introduction of semantic technologies makes possible the evolution of applications in use for the incident management process, and consequently impacts in terms of increased service productivity and efficiency, of reduction of intervention time and costs and, more generally, of enhancement of service quality perceived by users.
Another case of MSF application, referred to the Document Management System area, sees the introduction of semantic technologies for:
- providing an integrated view of documentary archives, also when distributed in clouds;
- automating classification of documents for improving user' search operations;
- supporting users in the production of documents, improving workflow efficiency through suggestion of documents where similar information can be found, receiving tips on topic sentences.
MSF and its continuous evolution stems from the experience of a Research and Development team exploiting innovative technologies and features of the semantic web. Distinguishing factors are the advanced use of triple store and languages for ontological modeling (definition of OWL, RDF Schemes, etc.) enabling knowledge organization and information access thanks to intelligent search techniques that support similarity, question answering, faceted browsing.
MSF has been developed within Aristotele project, co-funded by the European Commission under the 7th Framework Programme.
MOMA Semantic Framework functionalities
Key functionalities of MSF allow:
- classification of heterogeneous textual sources (Word documents, PDF, XML, database, etc.) compared to knowledge representation of the domain of interest (for example achievable through taxonomies);
- conceptualization of available documentary repositories, with extraction of concepts and relations from heterogeneous textual sources;
- semantic search of information and resources through queries in natural language and evaluation of semantic similarity between their content and the content available within the managed document repositories.
An overview of the main functionalities enabled in MSF is depicted in the following image.
MOMA Semantic Framework architecture
The modular and flexible architecture underlying MSF helps customize available functionalities basing on specific needs of the domain of interest. MSF can be used as a "tool box" through which to implement stand-alone vertical solutions or extensions of existing systems.
MSF has an extensive set of semantic APIs distributed according to widely used protocols, such as REST and JSON, and service-oriented standards independent from a specific platform, which allow you to access and integrate the semantic functionalities within other systems and in the development of other innovative applications.
Key contact person
Research & Production Laboratory Manager
Mr. Domenico Di Giorgio