Semantic Annotation Workflow using Bio-Ontologies

International audienceBiologists have adopted ontologies: *To provide canonical representation of scientific knowledge *To annotate experimental data to enable interpretation, comparison, and discovery across databases *To facilitate knowledge-based applications for decisionsupport, natural language processing, and data integration But off-the-shelf solutions for the biologist to use ontologies are rare (versions, format, availability, license, overlap, etc.) Automatically process complex biological resources text content and generate annotations : * Large-scale - to scale up to many resources and ontologies * Automatic - to keep precision and accuracy * Easy to use and to access - web service approach * Customizable - to fit very specific needs * Smart - to leverage the knowledge contained in ontologies There have been success stories to reproduce: GO annotations, PubMed indexing, etc

WebSmatch

WebSmatch is a flexible, open environment for discovering and matching complex schemas from heterogeneous Web data sources. It provides three basic functions: (1) metadata extraction from data sources; (2) schema matching, (3) schema clustering to group similar schemas together. WebSmatch is delivered through Web services, to be used directly by data integrators or other tools with RIA clients. It is implemented in Java, delivered as Open Source Software (under LGPL). WebSmatch has been used by Data Publica and CIRAD to integrate public and private data sources

WebSmatch

WebSmatch is a flexible, open environment for discovering and matching complex schemas from heterogeneous Web data sources. It provides three basic functions: (1) metadata extraction from data sources; (2) schema matching, (3) schema clustering to group similar schemas together. WebSmatch is delivered through Web services, to be used directly by data integrators or other tools with RIA clients. It is implemented in Java, delivered as Open Source Software (under LGPL). WebSmatch has been used by Data Publica and CIRAD to integrate public and private data sources

WebSmatch: a tool for Open Data

International audienceWorking with open data sources can yield high value information but raises major problems in terms of metadata extraction, data source integration and visualization. In this paper we describe a demonstration of WebSmatch, a flexible environment for Web data integration, based on a real, end-to-end data integration scenario over public data from Data Publica. The demonstration focuses on poorly structured input data sources (XLS files)

Public Data Integration with WebSmatch

National audienceIntegrating open data sources can yield high value information but raises major problems in terms of metadata extraction, data source integration and visualization of integrated data. In this paper, we describe the demonstration of WebSmatch, a flexible environment for Web data integration, based on a real, end-to-end data integration scenario over public data from Data Publica. WebSmatch supports the full process of importing, refining and integrating data sources and uses third party tools for high quality visualization. We use a typical scenario of public data integration which involves problems not solved by currents tools: poorly structured input data sources (XLS files) and rich visualization of integrated data

Public data integration with WebSmatch

International audienceIntegrating open data sources can yield high value information but raises major problems in terms of metadata extraction, data source integration and visualization of integrated data. In this paper, we describe the demonstration of WebSmatch, a flexible environment for Web data integration, based on a real, end-to-end data integration scenario over public data from Data Publica. WebSmatch supports the full process of importing, refining and integrating data sources and uses third party tools for high quality visualization. We use a typical scenario of public data integration which involves problems not solved by currents tools: poorly structured input data sources (XLS files) and rich visualization of integrated data

P2PShare: a Social-based P2P Data Sharing System

National audienceP2PShare is a P2P system for large-scale probabilistic data sharing that leverages content-based and expert-based recommendation. It is designed to manage probabilistic and deterministic data in P2P environments. It provides a flexible environment for integration of heterogeneous sources, and takes into account the social based aspects to discover high quality results for queries by privileging the data of friends (or friends of friends), who are expert on the topics related to the query. We have implemented a prototype of P2PShare using the Shared-Data Overlay Network (SON), an open source development platform for P2P networks using web services, JXTA and OSGi. In this paper, we describe the demo of P2PShare's main services, e.g., gossiping topics of interest among friends, key- word querying for contents, and probabilistic queries over datasets

BTN3A molecules considerably improve Vγ9Vδ2T cells-based immunotherapy in acute myeloid leukemia.

International audienceGiven their recognized ability to kill acute myeloid leukemia (AML) blasts both in vitro and in vivo, Vγ9Vδ2 T cells are of growing interest in the design of new strategies of immunotherapy. We show that the Butyrophilin3A (BTN3A, CD277) subfamily is a critical determinant of Vγ9Vδ2 TCR-mediated recognition of human primary AML blasts ex vivo. Moreover, anti-BTN3A 20.1 agonist monoclonal antibodies (mAbs) can trigger BTN3A on AML blasts leading to further enhanced Vγ9Vδ2 T cell-mediated killing, but this mAb had no enhancing effect upon NK cell-mediated killing. We show that monocytic differentiation of primary AML blasts accounts for their AminoBisphosphonate (N-BP)-mediated sensitization to Vγ9Vδ2 T cells. In addition, anti-BTN3A 20.1 mAbs could specifically sensitize resistant blasts to Vγ9Vδ2 T cells lysis and overcome the poor effect of N-BP treatment on those blasts. We confirmed the enhancement of Vγ9Vδ2 T cells activity by anti-BTN3A 20.1 mAb using a human AML xenotransplantation mouse model. We showed that anti-BTN3A 20.1 mAb combined with Vγ9Vδ2 T cells immunotherapy could increase animal survival and decrease the leukemic burden in blood and bone marrow. These findings could be of great interest in the design of new immunotherapeutic strategies for treating AML