XAR: An Integrated Framework for Semantic Extraction and Annotation

Towards constructing an Integrative, Multi-Level Model for Cognition: The Function of Semantic Networks

Integrated approaches try to connect different constructs in different theories and reinterpret them using a common conceptual framework. In this research, using the concept of processing levels, an integrated, three-level model of the cognitive systems has been proposed and evaluated. Processing levels are divided into three categories of Feature-Oriented, Semantic and Conceptual Level based o...

A Framework for Resource Annotation and Classification in Bioinformatics

Semantic annotation is commonly recognized as one of the cornerstones of the semantic Web. In the context of Web services, semantic annotations can support effective and efficient discovery of services, and guide their composition into workflows. Because semantic annotation is a time consuming and expensive task, (semi-)automatic approaches for semantic annotation extraction are required. In th...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Timely and Non-Intrusive Active Document Annotation via Adaptive Information Extraction

The process of document annotation for the Semantic Web is complex and time consuming, as it requires a great deal of manual annotation. Information extraction from texts (IE) is a technology used by some of the most recent systems for actively supporting users in the process and reducing the burden of annotation. The integration of IE systems in annotation tools is quite a new development and ...

A semi-automated Framework for Supporting Semantic Image Annotation

Advanced semantic description of multimedia data significantly improves representing, labeling, and retrieving multimedia-based contents. In this paper we present an intelligent framework for attaching semantic annotations to image contents based on the extraction of elementary low-level features, user’s relevance feedback and the usage of ontology knowledge. This approach facilitates image ann...