Objective
StoM uses as the foundation stone the results of a previous Research for SME project called SemLib, which produced two state-of-the-art general purpose software components: a semantic annotation system and a semantic recommendation engine.
To bridge the gap between research and market, these results will be integrated in StoM into two software-as-a-service platforms: PunditBrain and EventPlace.
PunditBrain aims at providing online services for content annotation, document collection management, personal note taking and collaborative story building. The intended target audience is composed of professional web users who need advanced tools to analyze, interpret, repurpose and reuse web content. It includes, but is not limited to: scholars, corporate researchers, PhD students, data journalists and editors.
EventPlace manages event-related and location based collections of multimedia content. It will offer services for participants and organizers of events, conferences and festivals. Currently these target groups lack integrated solutions for managing mainstream event content (e.g. presentations, video recordings, video promotions, documents) and user-generated content (e.g. photos from participants, images of the surroundings, sharing impressions of social dinner): EventPlace's offering aims at filling this niche.
StoM involves two companies that participated to the original SemLib project, Net7 (Italy), and IN2 search interfaces development (UK). Net7 focuses on software development and professional consultancy on Web and Semantic Web technologies, while IN2 develops custom web-based software and tools to enrich and publish multimedia content, also using a software-as-a-service model.
StoM consortium is also composed by SpazioDati (Italy), a startup focused on a data-as-a-service offering, targeted to data consumers and application developers, and two companies, Innova (Italy) and Techin (Poland). These two SMEs have a significant expertise on marketing and business development: in StoM they will focus on refining the initial business ideas, by performing market analysis and validation, to develop effective business exploitation strategies to allow the commercialisation of StoM's outcomes.
Fields of science
- natural sciencescomputer and information sciencessoftwaresoftware development
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- natural sciencescomputer and information sciencesdata sciencedata processing
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Topic(s)
Call for proposal
FP7-SME-2013
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator
56124 Pisa
Italy