Marvin: Semantic annotation using multiple knowledge sources

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

Semantic Annotation of Maps Through Knowledge Provenance

Maps are artifacts often derived from multiple sources of data, e.g., sensors, and processed by multiple methods, e.g., gridding and smoothing algorithms. As a result, complex metadata may be required to describe maps semantically. This paper presents an approach to describe maps by annotating associated provenance. Knowledge provenance can represent a semantic annotation mechanism that is more...

Annotation of SBML models through rule-based semantic integration

BACKGROUND The creation of accurate quantitative Systems Biology Markup Language (SBML) models is a time-intensive, manual process often complicated by the many data sources and formats required to annotate even a small and well-scoped model. Ideally, the retrieval and integration of biological knowledge for model annotation should be performed quickly, precisely, and with a minimum of manual e...

Incentive Based Image Annotation

In this paper, we present a novel annotation paradigm with an emphasis on two facets – (a) semantic propagation and (b) an end user experience that provides insight. We attempt to propagate semantics of the annotations, by using WordNet, and low-level features extracted from the images. We introduce novel semantic dissimilarity measures, and propagation frameworks. The system also provides insi...

Leveraging Heterogeneous Data Sources for Relational Semantic Parsing

A number of semantic annotation efforts have produced a variety of annotated corpora, capturing various aspects of semantic knowledge in different formalisms. Due to to the cost of these annotation efforts and the relatively small amount of semantically annotated corpora, we argue it is advantageous to be able to leverage as much annotated data as possible. This work presents a preliminary expl...