Aifb , Kit

نویسندگان

  • Sébastien Ferré
  • Sebastian Rudolph
چکیده

With the persistent deployment of ontological specifications in practice and the increasing size of the deployed ontologies, methodologies for ontology engineering are becoming more and more important. In particular, the specification of negative constraints is often neglected by the human expert, whereas they are crucial for increasing an ontology’s deductive potential. We propose a novel, arguably cognitively advantageous methodology for identifying and adding missing negative constraints to an existing ontology. To this end, a domain expert navigates through the space of satisfiable class expressions with the aim of finding absurd ones, which then can be forbidden by adding a respective constraint to the ontology. We give the formal foundations of our approach, provide an implementation, called Possible World Explorer (PEW) and illustrate its usability by describing prototypical navigation paths using the example of the well-known pizza ontology.

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

Observation and Control of Organic Systems

1 Leibniz Universität Hannover, Institute of Systems Engineering, Appelstr. 4, 30167 Hannover, Germany, {tomforde|haehner|mnif|cms}@sra.uni-hannover.de 2 Karlsruhe Institute of Technology (KIT), Institute AIFB – Bldg. 05.20, 76128 Karlsruhe, Germany, {holger.prothmann|urban.richter|hartmut.schmeck}@kit.edu 3 University of Warwick, Warwick Business School, Coventry, CV4 7AL, UK, juergen.branke@w...

متن کامل

Query Answering for Greedy Sets of Existential Rules Worst-case Optimal Query Answering for Greedy Sets of Existential Rules and Their Subclasses

The need for an ontological layer on top of data, associated with advanced reasoning mechanisms able to exploit the semantics encoded in ontologies, has been acknowledged both in the database and knowledge representation communities. We focus in this paper on the ontological query answering problem, which consists of querying data while taking ontological knowledge into account. More specifical...

متن کامل

Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments

This chapter examines the performance characteristics of both asynchronous and synchronous parallel particle swarm optimisation algorithms in heterogeneous, fault-prone environments. The chapter starts with a simple parallelisation paradigm, the Master-Slave model using Multi-Objective Particle Swarm Optimisation (MOPSO) in a heterogeneous environment. Extending the investigation to general, di...

متن کامل

The Knowledge Portal "OntoWeb"

affiliation Institute AIFB Karlsruhe keywords semantic community portal, ontology number STAR-2003-02 date 6/05/2003 corresponding author status in print reference Staab S.

متن کامل

On-To-Knowledge Methodology (OTKM)

1 Institute AIFB, University of Karlsruhe Postfach, 76128 Karlsruhe, Germany http://www.aifb.uni-karlsruhe.de Contact: [email protected] 2 Ontoprise GmbH Karlsruhe, Germany http://www.ontoprise.de 3 FZI Research Center for Information Technologies Knowledge Management Department (WIM) Karlsruhe, Germany http://www.fzi.de/wim 4 L3S Learning Lab Hannover/Karlsruhe, Germany http://www.lea...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012