Automatic image annotation is to associate each image a set of keywords and describing the visual content of the image using an automatic system without any human intervention, many approaches have been proposed for the realization of such a system However, it is still inefficient in terms of semantic description of the image. Recent works show a frequent use of a special technique known as bag...

Real-world brain imaging by EEG requires accurate annotation of complex subject-environment interactions in event-rich tasks and paradigms. This paper describes the evolution of the Hierarchical Event Descriptor (HED) system for systematically describing both laboratory and real-world events. HED version 2, first described here, provides the semantic capability of describing a variety of subjec...

Four years after the original sequence submission, we have re-annotated the genome of Mycoplasma pneumoniae to incorporate novel data. The total number of ORFss has been increased from 677 to 688 (10 new proteins were predicted in intergenic regions, two further were newly identified by mass spectrometry and one protein ORF was dismissed) and the number of RNAs from 39 to 42 genes. For 19 of th...

The Quranic Arabic Corpus (http://corpus.quran.com) is an annotated linguistic resource with multiple layers of annotation including morphological segmentation, part-of-speech tagging, and syntactic analysis using dependency grammar. The motivation behind this work is to produce a resource that enables further analysis of the Quran, the 1,400 year old central religious text of Islam. This paper...

The DiET project is developing a comprehensive software package for the construction, annotation, customisation, and maintenance of structured reference data for the evaluation of NLP applications. The DiET system is implemented in a configurable, open client/server architecture with a central database system managing the data and a client integrating construction and annotation facilities and ...

In recent years, automatic image annotation (AIA) has been applied to cross-media retrieval usually due to its advantage of mining correlations of images and annotation texts efficiently. However, some AIA methods just annotate images as a unit and the accuracy of annotation may not be acceptable. In this paper, we propose a kind of probabilistic model which may assign keywords to an un-annotat...

Automatic image annotation (AIA) is the process by which metadata, in form of keywords or text descriptions are automatically assigned to an unlabeled image. Generally, two problems can be distinguished: the problem of semantic extraction, due to the gap between the image features and object labels, and the problem of semantic interpretation, due to the gap between the object labels and the hum...

This paper introduces the results of integration of lexical and terminological resources, most of them developed within the Human Language Technology (HLT) Group at the University of Belgrade, with the Geological information system of Serbia (GeolISS) developed at the Faculty of Mining and Geology and funded by the Ministry of the Environmental protection. The approach to GeolISS development, w...