MTSK 2013 - Workshop on Methods, Models and Technology for Semantic-driven Knowledge Building (MTSK 2013)

Web 2.0 paradigm has shifted the role of users from passive audience to participatory users. Growing number of users are taking advantage of collaborative and interactive features (e.g., blog, wiki, RSS, and so on) in order to share their own contents with each other (i.e., user-generated content). Specifically, the adoption of Web 2.0 tools in the organizational context (i.e., Enterprise 2.0) changes the roadmap of Knowledge Management. Success of Enterprise 2.0 leads to the availability of large amount of information that is still targeted to the human consumption. This stresses the activities of Knowledge Management, especially in large organisations. So, nowadays Knowledge Management is still a huge challenge.
Semantic Web vision could address this challenge. In particular, Semantic Web standards enabling the creation of machine-understandable knowledge. Ontologies provide a common knowledge layer that could be exploited to bridge the gap between tacit and explicit knowledge. Specifically, ontologies can offer a consistent access point to anything that an organization does enabling opportunities to find relevant information. On one hand, well-known ontologies (e.g., FOAF, SIOC, etc.) could be reused to represent enterprise artefacts. On the other hand, organizational domain ontologies (e.g., controlled vocabulary, taxonomies, and so on) have to be developed and kept up-to-date. In this way, by exploiting ontologies when a project belongs to certain research topics, we can infer that also the publications of the project relate to the same topic, or to the employees that have skills relevant to that project, and so on. Nevertheless, Semantic Web tools are still under development and ontologies learning and maintenance require a considerable effort.
Although Semantic Web provides enabling features to face with Knowledge Management challenge, there are many research opportunities that should be addressed. Firstly, there is a need to fill the gap combining Web 2.0 features such as collaboration with semantic technologies. Next, there are several needs to support knowledge life cycle and to provide intelligence service for knowledge discovery. Finally, it is important to define intelligent methodologies able to prepare and maintain up-to-dated organizational domain ontologies.
In particular, the aim of this session is to provide a forum to disseminate and discuss methods, models, and technologies to address a new generation of knowledge management systems. The workshop, starting with current issues of the on-going EU-funded IP research project “ARISTOTELE” (http://www.aristotele-ip.eu), intends to be a forum to exchange innovative results considering, but not limited to, these topics of interest:
- Ontologies for:
Knowledge Representation
Knowledge Management
Knowledge Extraction
- Ontology Matching
- Ontology Merging
- Semantic Social Networks
- World Wide Wisdom Web (W4)
- Information Retrieval
- Web Searching
- Semantic Grids
- Semantic Social Networks
- Soft-computing for Web Intelligence
- Ontological Agents
- Clustering for Web Processing
- Formal Concepts Analysis for Web Application
- Collective Knowledge