Intelligent knowledge-based models and methodologies for complex information systems

نویسنده

  • Alfredo Cuzzocrea
چکیده

Complex information systems require more and more advanced knowledge representation, management, and discovery tools and techniques, which converge in a collection of intelligent knowledge-based models and methodologies of emerging interest to research communities. This poses new challenges on the issue of devising innovative methodologies and paradigms in the context of a broad framework encompassing several research topics ranging from knowledge representation to knowledge integration, from knowledge management to knowledge processing, from knowledge discovery to knowledge delivery, and from knowledge security to privacy preserving knowledge. From these challenges, a novel class of complex intelligent information systems raises, where knowledge representation, management, and discovery are emphasized in order to achieve complex functionalities going far beyond those of traditional information-oriented methodologies. Intelligent knowledge-based models and methodologies arise in many

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Reachability checking in complex and concurrent software systems using intelligent search methods

Software system verification is an efficient technique for ensuring the correctness of a software product, especially in safety-critical systems in which a small bug may have disastrous consequences. The goal of software verification is to ensure that the product fulfills the requirements. Studies show that the cost of finding and fixing errors in design time is less than finding and fixing the...

متن کامل

Integrated Intelligent Information and Analytical System of Management of a Life Cycle of Products of Transport Companies

Developed an integrated intellectual computerized system of ecological-economic monitoring, modeling, and managing the life cycle of the products of technogenic enterprises of transport engineering, which is presented in the form of a 3-equation structure, functioning in conditions of instability. The proposed paradigm system life cycle management applicable to any other control system of large...

متن کامل

Improving the performance of financial forecasting using different combination architectures of ARIMA and ANN models

Despite several individual forecasting models that have been proposed in the literature, accurate forecasting is yet one of the major challenging problems facing decision makers in various fields, especially financial markets. This is the main reason that numerous researchers have been devoted to develop strategies to improve forecasting accuracy. One of the most well established and widely use...

متن کامل

Special issue: Computational intelligence models for image processing and information reasoning

Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI mode...

متن کامل

A Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents

Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Inf. Sci.

دوره 194  شماره 

صفحات  -

تاریخ انتشار 2012