A vocabulary stores words, synonyms, word sense definitions (i.e. glosses), relations between word senses and concepts; such a vocabulary is generally referred to as the Controlled Vocabulary if choice or selections of terms are done by domain specialists. In our case,we create and match two controlled vocabularies by using their concept facet. This methodology is based on semantic matching whi...

Automatic annotation of images with descriptive words is a challenging problem with vast applications in the areas of image search and retrieval. This problem can be viewed as a label-assignment problem by a classifier dealing with a very large set of labels, i.e., the vocabulary set. We propose a novel annotation method that employs two layers of sparse coding and performs coarse-to-fine label...

The paper discuses problems in annotating a corpus containing Polish clinical data with low level linguistic information. We propose an approach to tokenization and automatic morphologic annotation of data that uses existing programs combined with a set of domain specific rules and vocabulary. Finally we present the results of manual verification of the annotation for a subset of data.

Automatic image annotation has been becoming an attractive research subject. Most current image annotation methods are based on training techniques. The major weaknesses of such solutions include limited annotation vocabulary and labor-intensive involvement. However, Web images possess a lot of texts, and rich annotation of samples is provided. Therefore, this report provides a novel image anno...

As video content on the web continues to expand, it is increasingly important to properly annotate videos for effective search and mining. While the idea of annotating static imagery with keywords is relatively well known, the idea of annotating videos with natural language keywords to enhance search is an important emerging problem with great potential to improve the quality of video search. H...

A musically meaningful vocabulary is one of the keystones in building a computer audition system that can model the semantics of audio content. If a word in the vocabulary is not clearly represented by the underlying acoustic representation, the word can be considered noisy and should be removed from the vocabulary. This paper proposes an approach to construct a vocabulary of predictive semanti...

Automatic image annotation aims at predicting a set of textual labels for an image that describe its semantics. These are usually taken from an annotation vocabulary of few hundred labels. Because of the large vocabulary, there is a high variance in the number of images corresponding to different labels (“class-imbalance”). Additionally, due to the limitations of manual annotation, a significan...

The Gene Ontology is an important tool for the representation and processing of information about gene products and functions. It provides controlled vocabularies for the designations of cellular components, molecular functions, and biological processes used in the annotation of genes and gene products. These constitute three separate ontologies, of cellular components), molecular functions and...

-This paper provides a model for automatically generating captions for news images, which is used to support development of news media management and many multimedia applications. In the existing method, the captions for the news images are given manually by reading the text content. Thus the caption generation task requires human involvement and hence a time consuming process. The proposed sys...

We present the results of an extensive experimental evaluation of the supervised multi-class labeling (SML) model for semantic image annotation proposed by [16]. We test the robustness of this model to various parameters, and its scalability in both database and vocabulary size. The results of this study complement previous evaluations by [12], and [16], which were limited to smaller databases ...