Project description
Intelligent Content and Semantics
Bridging the gap between human and computational intelligence
Bridging the gap between human and computational intelligence
The objective of INSEMTIVES is to bridge the gap between human and computational intelligence in the current semantic content authoring research and development landscape. The project aims at producing methodologies, methods and tools that enable the massive creation and feasible management of semantic content in order to facilitate the world-wide uptake of semantic technologies.
What?
Bridging the gap between human and computational intelligence. Providing incentives for users to contribute to semantic content creation.
Why?
A critical mass of machine-understandable data is still missing and the natural limitations of automation in semantic content creation-related tasks are hampering the uptake of semantic technologies. Applications do not provide incentives and motivation for users to engage is manually creating this data.
How?
INSEMTIVES optimally combines research with development and applications. The foundations are methods and guidelines facilitating semantic content in an incentives driven manner. They underlie the INSEMTIVES platform (backend) and varioius end-user tools for semantic content creation (front end). These technology components are used in three real-world case studies.
Creating a critical mass of semantic content is a fundamental challenge that has received considerable attention in the past decade. The result is a maturing inventory of techniques and tools which primarily aim at the automation of the semantic content creation task as a means to lower costs and improve productivity. Whilst the quality of such automated approaches has consistently improved, it is still far from outweighing the required invested manual effort. This holds in particular for the creation of multimedia annotations, or the development of shared ontologies, tasks which are human-driven through their very nature. The aim of INSEMTIVES is to bridge the gap between human and computational intelligence in the current semantic content authoring R&D landscape. We will develop methodologies for the creation of semantic metadata for different types of Web resources, jointly exploiting human intelligence, community effects and machine processing. We will investigate applicable social and economic incentives, notably in the areas of ontology engineering, and the semantic annotation of media and Web services, to motivate user participation in these inherently human-driven tasks. A generic open source platform, including models for representing user-generated semantic content, and methods for supporting their lifecycles, as well as incentive-driven end-user tools, will resultantly bring semantic content to a level where it can be meaningfully used in various application scenarios. Three case studies will apply the developed technology in the sectors of telecommunications, online marketplaces, and virtual worlds. INSEMTIVES will impact the semantic technologies community by demonstrating how user participation can solve the main bottleneck in the uptake of the Semantic Web: i.e. the lack of a critical mass of semantic content required for applications to provide an immediate added value to end-users and businesses to encourage them to adopt semantic technologies.
Fields of science
- natural sciencescomputer and information sciencesknowledge engineeringontology
- social sciencessociologyindustrial relationsautomation
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencescomputer and information sciencesinternetsemantic web
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Call for proposal
FP7-ICT-2007-3
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator
6020 Innsbruck
Austria