Word Order and Its Variations in Korean: A TAGs Approach

It is generally required that a grammar formalism explain the word-order variation since such the variation is universal phenomenon of all natural languages and that the complex patterns cannot be realized by reodering the terminals. This phenomenon is especially important to nonconfigurational languages that are relatively free in word order. We show how TAG can handle the word -order and its variation in Korean. We derive a new property called Scramble-α innated in scrambling. The domain of scrambling can be realized within the elementary trees of TAG and can be localized under TAG formalism. We propose a new adjoining constraint suitable for the description of word order of Korean. We show that TAG generates the syntactic structures as well as ordering precedence at the same time. We also show that long-distance scrambling is another type of cross-serial dependencies and analyzed with the same principle that local scrambling uses in TAG

SEBIO: A Semantic BioInformatics Platform for the New E-Science

Knowledge integration and exchange of data within and among organizations is a universally recognized need in bioinformatics and genomics research through the e-science field. The main problem looming over the lack of integration is the fact that the current Web is an environment primarily developed for human users and micro-array data resources lack widely accepted standards; this leads to a tremendous data heterogeneity. Using semantic technologies as a key technology for interoperation of various datasets enables knowledge integration of the vast amount of biological and biomedical data. In this paper, we aim at providing a semantically-enhanced bioinformatics platform (SEBIO), which handles these issues effectively. We will describe the problems arisen and the solutions applied so far. For that, the SEBIO approach is unfolded and its main components explained, to see in more detail how perfectly it copes with the aforementioned difficulties