Current approaches to computational lexicology in language technology are knowledge-based (competence-oriented) and try to abstract away from specific formalisms, domains, and applications. This results in severe complexity, acquisition and reusability bottlenecks. As an alternative, we propose a particular performance-oriented approach to Natural Language Processing based on automatic memory-b...

Service-Oriented Computing is a cornerstone for the realization of user needs through the automatic composition of services from service descriptions and user tasks, i.e., high-level descriptions of the user needs. Yet, automatic service composition processes commonly assume that service descriptions and user tasks share the same abstraction level, and that services have been pre-designed to in...

We present a brief, nonexhaustive overview of research efforts in designing and developing time-oriented systems in medicine. The growing volume of research on time-oriented systems in medicine can be viewed from either an application point of view, focusing on different generic tasks (e.g. diagnosis) and clinical areas (e.g. cardiology), or from a methodological point of view, distinguishing b...

In the prior studies, researchers believe that the fit between KM processes and task characteristics, or the fit between KM processes and KMS capabilities may improve KM performance. Yet little is known about how the fit among task characteristic, KM processes, and KMS capabilities impacts KM performance. This study proposes an extended model by integrating above two different research streams ...

The object-oriented design methods and their CASE tools are widely used in practice by many real-time software developers. However, object-oriented CASE tools require an additional step of identifying tasks from a given design model. Unfortunately, it is diicult to automate this step for a couple of reasons: (1) there are inherent discrepancies between objects and tasks; and (2) it is hard to d...

Scheduling real-time tasks in a distributed-memory multiprocessor is characterized as sequencing a set of tasks and assigning them to processors of the architecture. Realtime systems research has extensively investigated the sequencing dimension of the scheduling problem by extending uni-processor scheduling techniques to more complex architectures. We introduce a technique that uses an assignm...

The purpose of this research effort is to apply Task-Technology Fit (TTF) theory to understand how to effectively support experiential consumer tasks. A 2x2 experiment was designed to consider fit issues related to task characteristics (task type: search vs. experiential) and technology characteristics (interface structure: search-oriented vs. experiential-oriented) along with individual charac...

This paper describes the first set of experiments defined by the MIRACLE (Multilingual Information RetrievAl for the CLEf campaign) research group for some of the cross language tasks defined by CLEF. These experiments combine different basic techniques, linguistic-oriented and statistic-oriented, to be applied to the indexing and retrieval processes.

All organisms capable of long-term memory are necessarily oriented toward the future. We propose that one of the most important adaptive functions of long-term episodic memory is to store information about the past in the service of planning for the personal future. Because a system should have especially efficient performance when engaged in a task that makes maximal use of its evolved machine...