Semantic Indexing with Typed Terms Using Rapid Annotation

Semantic Indexing and Typed Hyperlinking

In this paper, we describe linguistically sophisticated tools for the automatic annotation and navigation of on-line documents. Creation of these tools relies on research into finite-state technologies for the design and development of lexicallyintensive semantic indexing, shallow semantic understanding, and content abstraction techniques for texts. These tools utilize robust language processin...

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

Fuzzy C-Means Clustering for Biomedical Documents Using Ontology Based Indexing and Semantic Annotation

Search is the most obvious application of information retrieval. The variety of widely obtainable biomedical data is enormous and is expanding fast. This expansion makes the existing techniques are not enough to extract the most interesting patterns from the collection as per the user requirement. Recent researches are concentrating more on semantic based searching than the traditional term bas...

Paper TRECVid Semantic Indexing of Video: A 6-Year Ret- rospective

Semantic indexing, or assigning semantic tags to video samples, is a key component for content-based access to video documents and collections. The Semantic Indexing task has been run at TRECVid from 2010 to 2015 with the support of NIST and the Quaero project. As with the previous High-Level Feature detection task which ran from 2002 to 2009, the semantic indexing task aims at evaluating metho...

Concept-based semantic annotation, indexing and retrieval of office-like document units

We present an ontology-driven approach to semantic annotation, indexing and retrieval of document units. This approach is based on a novel semantic document model (SDM) that we developed to make office-like document units be uniquely identified, semantically annotated with concepts from annotation ontologies and linkable across document boundaries. In the semantic annotation model that we propo...