Section: Other Grants and Activities
We take part in the Knowledge Web Network of Excellence. Our work concerned the workpackages WP2.2 Heterogeneity (cf.ontology alignment [Oops!] ), WP2.3 Dynamics (cf. ontology evolution [Oops!] , [Oops!] , and WP3.2 and WP3.3 on Education (cf. semantic Web and e-learning [Oops!] ).
Keywords : Knowledge Management, Knowledge Engineering, Ontology, Assistance to the User, Ergonomics, Co-operation, Collaboration, Interaction Design, Semantic Web, Semantic Annotation, Scenarios, User interfaces, Virtual community, Community of practice, Web Service.
Palette is a 3-years long integrated project, coordinated by ERCIM and EPFL, with as partners the University of Fribourg, CTI (Greece), Centre de Recherche Public Henri Tudor (Luxembourg), University Abou Bekr Belkaid (Algeria), University of Liège, EM Lyon, Groupe d'Analyse et de Théorie Economique (GATE CNRS), Center for Study of Education and Training (CSET) (Lancaster), ePrep, Nisai, MindOnSite - Integral Coaching SA, LICEF Téluq (Canada), INRIA.
The Palette project aims at facilitating and augmenting individual and organisational learning in Communities of Practice (CoPs). Towards this aim, an interoperable and extensible set of innovative services as well as a set of specific scenarios of use will be designed, implemented and thoroughly validated in CoPs of diverse contexts. Palette will thus offer information services, knowledge management services (based on an ontology dedicated to communities of practice) and mediation services for communities of practice (CoPs). Eleven pilot CoPs are involved in the participatory design of Palette services. These CoPs, located in various European countries (Belgium, France, Greece, Switzerland, UK), belong to three different domains: (i) teaching, (ii) management, and (iii) engineering. Their size varies from less than ten members to more than a hundred of members.
Edelweiss is leader of the WP3 aimed at designing ontologies and ontology-based Services for Knowledge Management in Communities of Practice.
In 2007, we focused on:
Construction of the O'CoP ontology (see section 126.96.36.199 ),
Scenario-based design of semantic services (see section 188.8.131.52 ),
Collaborative knowledge creation services (see section 184.108.40.206 ),
Semi-automatic annotation and semantic retrieval/dissemination services based on EMail Mining (see section 6.1.9 ).
SeaLife is a 3 year-long STREPS project, coordinated by Dresden University, with Edinburgh University, London College, Manchester University, Scionics as other partners; it started on April 2006.
The objective of SeaLife is the design and realization of a semantic Grid browser for the Life Sciences, which will link the existing Web to the currently emerging eScience infrastructure. The SeaLife browser will allow users to automatically link a host of Web servers and WebGrid services to the Web content they are visiting. This will be accomplished using eScience growing number of WebGrid Services and its XML-based standards and ontologies. The browser will identify terms in the pages being browsed through the background knowledge held in ontologies. Through the use of Semantic Hyperlinks, which link identified ontology terms to servers and services, the SeaLife browser will offer a new dimension of context-based information integration.
This SeaLife browser [Oops!] will be demonstrated within three application scenarios in evidence-based medicine, literature and patent mining, and molecular biology, all relating to the study of infectious diseases. The three applications vertically integrate the molecule/cell, the tissue/organ and the patient/population level by covering the analysis of high-throughput screening data for endocytosis (the molecular entry pathway into the cell), the expression of proteins in the spatial context of tissue and organs, and a high-level library on infectious diseases designed for clinicians and their patients.
Word sense disambiguation (see section 6.1.2 ),
Patent Mining (cf. the use case called 'literature and patent mining') (see section 6.1.3 ),
User profile detection (see section 6.1.4 ),
Analysis of gene interactions relying on information extracted automatically from GeneRif annotations.
Development and specification of Web Services to publish our techniques (patent search, profile detection and textmining) [Oops!] .
Improvement of our method of annotation generation from text and integration of external sources (Uniprot) to enrich annotations.
Taking into account the context in semantic annotation generation process.
SevenPro (Semantic Virtual Engineering Environment for Product Design) is a European STREPS project. The SevenPro project develops technologies and tools supporting deep mining of product engineering knowledge from multimedia repositories and enabling semantically enhanced 3D virtual reality (VR) interaction with product knowledge in integrated engineering environments. It aims at helping an engineer to design new objects by providing a 3D viewing of the object designed, informations on each part of the object (suggestions of other objects with similar or close properties could be performed) and information about repetitive design processes.
SevenPro is coordinated by Semantic Systems (Spain), and involves partners from industrial and academic areas. SevenPro project is carried out during 34 months, starting from January 2006, by a consortium composed of partners from five different EU countries:
Three research centres: Edelweiss (France), Technical university of Prague (Czech Republic), Fraunhofer institute (Germany).
Two IT companies (Semantic Systems (Spain), and LivingSolids (Germany).
Two users: Estanda (Spain) and ItalDesign (Italy).
The components and the whole engineering environment that are to be developed will be integrated and tested continuously in an iterative and incremental strategy. Edelweiss is leader of WP02 on Knowledge Engineering and WP04 on Semantic Annotation of Corporate Repositories.