Motivation




Rodrigo Senra <rsenra@acm.org>   2
SciFrame
               (discovery – extraction – transference)

                               Interfacing

Acquisiton   ...
Problem Statement
                                              Data Management

                                         ...
Proposals

    SciFrame

    Semantic-aware schemas (Ontologies ↔ Dbs)

    Workflow inspection (DBs ↔ Application)

 ...
Comments and questions ?




       Rodrigo Senra <rsenra@acm.org>   6
Qualificação (Curta) Julho 2009
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Qualificação (Curta) Julho 2009

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Qualificação (Curta) Julho 2009

  1. 1. Motivation Rodrigo Senra <rsenra@acm.org> 2
  2. 2. SciFrame (discovery – extraction – transference) Interfacing Acquisiton Publication Data Flow Information Management Description Transformation Fusing Data Management Augmenting Searching Annotation Storage Manipulation Mining Schematization Creation Filtering Updating Summarizing Retrieval Deletion Indexing Rodrigo Senra <rsenra@acm.org> 3
  3. 3. Problem Statement Data Management Voluminous information (scalability) Storage Linearity → physical locality tradeoffs dle multimedia Manipulation unstructured full-text documents, semi-structured (XML), large objects ( data, graphs, Information Management Balance implicit and explicit descriptions Integrate semantic web with databases Description Cooperative work using social networks Reason about trust, privacy and security. Information lost → conceptual, logical, physical perspectives. Transformation Model diversity: network/hierarchical, relational, OO, logical, semantical, graph, etc Handle uncertain and incomplete data, normalize non-tabular data, preserve prove Interfacing Acquisition scattered, many providers, lack of search engines for scientific datasets (exceptions bioinforma Data Discovery Extraction Feasibility, preserve provenance, lack of semantics Transference Availability, voluminous data, bandwidth, protocol Publication Lack of intention, enforce access control, traceability
  4. 4. Proposals  SciFrame  Semantic-aware schemas (Ontologies ↔ Dbs)  Workflow inspection (DBs ↔ Application)  DB adaptiveness → CRUDI patterns  DB Descriptors → storage approaches (1st candidate: locality properties) Rodrigo Senra <rsenra@acm.org> 5
  5. 5. Comments and questions ? Rodrigo Senra <rsenra@acm.org> 6
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