Knowledge and Data Integration (KDI)

Rui ZHANG

目录

  • 1 Basics
    • 1.1 Stratified Representation
    • 1.2 Representation Diversity
    • 1.3 iTelos Principles
    • 1.4 iTelos Structure
  • 2 Projects
    • 2.1 Organization
    • 2.2 Supports
    • 2.3 Metadata
    • 2.4 Topic Selection
  • 3 Inception
    • 3.1 Project Preparation & Launch
    • 3.2 Purpose Classification
    • 3.3 Data Collection & Preparation
    • 3.4 Data Management Tools
  • 4 Informal Modeling
    • 4.1 Teleologies
    • 4.2 Elicit Concepts
    • 4.3 ETG Generation
    • 4.4 Evaluation
  • 5 Formal Modeling
    • 5.1 Teleology Selection
    • 5.2 Language Alignment
    • 5.3 Schema Alignment
    • 5.4 Syntactic Heterogeneity Management
    • 5.5 Progete
    • 5.6 Evaluation
  • 6 Integration
    • 6.1 Semantic Heterogeneity Management
    • 6.2 Data Application Alignment
    • 6.3 Evaluation
    • 6.4 Final Exam
Topic Selection

Candidate Topics in Trento


Practical Topics from Running Projects

Topic 1: Academic Career Discovery

  1. Objective, to explore the student / professional career (site, period, partnership, etc.) of researchers.

  2. Resource, public data not restricted to personal homepage, dblp, web of science, research gate, etc.

  3. Route, possible resource collection, kg generation, data integration, integrated query.

Topic 2: Finacial Exception Discovery

  1. Objective, event oriented feature collection for finacial exception detection.

  2. Resource, public data not restricted to stock, ebusiness, market, personal purchase, etc.

  3. Route, possible resource collection, kg generation, data integration, integrated query.