Semantic Computing

1 Semantic Computing.

PART I: SEMANTIC ANALYSIS.

2 What Computers Need to Know about Verbs.

3 Content-based Retrieval of Videos.

4 Semantic Approaches for Speech Recognition.

5 Link Analysis in Web Mining.

6 Analysis of Online Blogs and Chats.

7 Speaker Identification and Diarization: State-of-the-art and Applications.

8 Machine Learning Methods for Ontology Mining.

9 Visual Ontology Development and Large Scale Semantic Concept Detection.

10 Process Mining and Description.

PART II: SEMANTIC LANGUAGES AND INTEGRATION.

11 Semantic Integration: The Hawkeye Approach.

12 Semantics of Software Modeling.

13 Semantic-Driven Component-Based Automated Code Synthesis.

14 Semantic Web Services.

PART III: SEMANTIC APPLICATIONS.

15 Knowledge Work.

16 Video Search in Visual Semantic Space.

17 Social and Expert Search in Online Communities.

18 Phase-Coherence in Conceptual Spaces for Conversational Agents.

19 The Role of Semantics in Question Answering.

20 Developing and Using a National Cross-domain Semantic Web Infrastructure.

21 Semantic Computing Challenges in MM Security.

PART IV: SEMANTIC PROGRAMMING AND INTERFACE.

22 Semantic Languages for Software Engineering.

23 From Semantic Objects to Structured Natural Language.