ERNEST: A Semantic Network System for Pattern Understanding

نویسندگان

  • Heinrich Niemann
  • Gerhard Sagerer
  • Stefan Schröder
  • Franz Kummert
چکیده

Aktract-This paper gives a detailed account of a system environment for the treatment of general problems of image and speech understanding. It provides a framework for the representation of declarative and procedural knowledge based on a suitable definition of a semantic network. The syntax and semantics of the network are clearly defined. In addition, the pragmatics of the network in its use for pattern understanding is defined by several rules which are problem independent. This allows one to formulate problem-independent control algorithms. Complete software environments are available to handle the described structures. The general applicability of the network system is demonstrated by short descriptions of three applications from different task domains.

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

Modeling of time constituents for speech understanding

The analysis and interpretation of time constituents is important for most applications of speech understanding systems. Problems can be caused by the varying distribution of constituents. A basic set of time constituents were found in a corpus of domain specific (train schedule) utterances. A distributed representation of surface structure models and an incremental semantic analysis is used to...

متن کامل

Exploring the basic elements of successful knowledge management system with presenting a theory through a semantic network

Abstract: Nowadays knowledge is recognized as an important enabler for competitive advantages and many companies are beginning to establish knowledge management systems. Within the last few years many organizations tried to design a suitable knowledge management system and many of them were successful. This paper is to discover critical success factors (CSF) of knowledge management (KM) and the...

متن کامل

Semantic Preserving Data Reduction using Artificial Immune Systems

Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

متن کامل

A Knowledge - based System Integrating Speech and Image Understanding – Manual Version 1 . 0 –

We present a system that integrates speech and image understanding in the domain of a construction task. Knowledge needed to interpret speech and images is stored in one homogeneous knowledge base using the semantic network formalism ERNEST. It provides a means for constraint propagation and therefore – using a uniform representation of the information gained from real input data – the speech a...

متن کامل

نقد دو نمونه از قالی‌های بافت منطقه همدان با رویکرد نماد ونشانه‌شناسی

One of aspects of the carpets which can be studied is their pattern and design, and such a study can be performed based on theoretical and scientific-artistic approaches, including symbol and sign. In fact, by studying and analyzing designs and patterns of carpets on the basis of a semiotic system, semantic signification of them can be analyzed. Accordingly, a carpet with corner-medallion patte...

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:
  • IEEE Trans. Pattern Anal. Mach. Intell.

دوره 12  شماره 

صفحات  -

تاریخ انتشار 1990