The field of Semantic Computing brings together those disciplines concerned with connecting the often vaguely formulated intentions of humans with computational content. Edited by the foremost experts in the subject, Semantic Computing provides an in depth and thorough examination on the state of the art of semantic computing technologies.
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.