Business capabilities are a key element of a modern Enterprise Architecture Management (EAM) approach. They are the core component of a business architecture and essential for communication between business and IT. There is an enormous interest among academics and practitioners reflected in a growing number of publications on definition, use cases, and experiences from case studies. However, du...

A quantitative analysis of program execution is essential to the computer architecture design process. With the current trend in architecture of enhancing the performance of uniprocessors by exploiting ne-grain parallelism, rst-order metrics of program execution, such as operation frequencies, are not su cient; characterizing the exact nature of dependencies between operations is essential. Thi...

Exploiting data from a parallel treebank recently developed for Italian, English and French, the paper discusses issues related to the development of a dependency-based alignment system. We focus on the alignment of linguistic expressions and constructions which are structurally different in the languages that have to be aligned, and on how to deal with them using dependency rather than constit...

This paper presents a multidimensional Dependency Grammar (DG), which decouples the dependency tree from word order, such that surface ordering is not determined by traversing the dependency tree. We develop the notion of a word order domain structure, which is linked but structurally dissimilar to the syntactic dependency tree. We then discuss the implementation of such a DG using constructs f...

This paper describes an approach to enforce dependencies between network traffic and user activities for anomaly detection. We present a framework and algorithms that analyze user actions and network events on a host according to their dependencies. Discovering these relations is useful in identifying anomalous events on a host that are caused by software flaws or malicious code. To demonstrate...

Syntactic structures have been good features for opinion analysis, but it is not easy to use them. To find these features by supervised learning methods, correct syntactic labels are indispensible. Two possible sources to acquire syntactic structures are parsing trees and dependency trees. For the annotation processing, parsing trees are more readable for annotators, while dependency trees are ...

Due to design constraints, many digital systems are implemented as mixed hardware and software components. An informal choice of where implementing a part of the system either in software or in hardware can produce incorrect or unsatisfactory results. Codesign methodologies have been developed to aid the development of such systems. The partitioning phase is one of the tasks carried out by a co...

This paper describes the system of the team Orange-Deskiñ, used for the CoNLL 2017 UD Shared Task. We based our approach on an existing open source tool (BistParser), which we modified in order to produce the required output. Additionally we added a kind of pseudoprojectivisation. This was needed since some of the task’s languages have a high percentage of non-projective dependency trees. In mo...

Question classification is a first necessary task of automatic question answering systems. Linguistic features play an important role in developing an accurate question classifier. This paper proposes to use typed dependencies which are extracted automatically from dependency parses of questions to improve accuracy of classification. Experiment results show that with only surface typed dependen...

Pessimistic control algorithms for replicated data permit only one partition to perform update operations at any time so as to ensure mutual exclusion of the replicated data object. Existing availability modelling and analyses of pessimistic control algorithms for replicated data management are constrained to either site-failure-only or link-failure-only models, but not both, because of the lar...