ANALYZING THE WORD CHOICE IN RELATION TO THE SEMANTIC ADJUSTMENT IN THE ENGLISH-INDONESIAN TRANSLATION OF DISNEY’S DONALD DUCK SERIAL COMIC BOOK.

This paper is a qualitative study of the word choice in relation to the semantic adjustment in the Indonesian translation of a Disney’s Donald Duck serial comic book entitled “Misteri Anggrek Rawa” (Mystery of the Swamp Orchid). It is revealed that there are six semantic features found, namely situational meaning, semantic adjustment, semantic omission, semantic change, semantic shift, and mistranslation. Those features may help the readers in understanding the text, but they may also create confusion on the readers of what the text actually is about, and that the change and/or the mistranslation can make the readers misinterpret the meaning

DeltaImpactFinder: Assessing Semantic Merge Conflicts with Dependency Analysis

In software development, version control systems (VCS) provide branching and merging support tools. Such tools are popular among developers to concurrently change a code-base in separate lines and reconcile their changes automatically afterwards. However, two changes that are correct independently can introduce bugs when merged together. We call semantic merge conflicts this kind of bugs. Change impact analysis (CIA) aims at estimating the effects of a change in a codebase. In this paper, we propose to detect semantic merge conflicts using CIA. On a merge, DELTAIMPACTFINDER analyzes and compares the impact of a change in its origin and destination branches. We call the difference between these two impacts the delta-impact. If the delta-impact is empty, then there is no indicator of a semantic merge conflict and the merge can continue automatically. Otherwise, the delta-impact contains what are the sources of possible conflicts.Comment: International Workshop on Smalltalk Technologies 2015, Jul 2015, Brescia, Ital

Grid Metadata Lifetime Control in ActOn

In the Semantic Grid, metadata, as first class citizens, should be maintained up to-date in a cost-effective manner. This includes maxi missing the automation of different aspects of the metadata lifecycle, managing the evolution and change of metadata in distributed contexts, and synchronizing adequately the evolution of all these related entities. In this paper, we introduce a semantic model and its operations which is designed for supporting dynamic metadata management in Active Ontology (Act On), a semantic information integration approach for highly dynamic information sources. Finally, we illustrate the Act On-based metadata lifetime control by EGEE examples