Upper ontology

About: Upper ontology is a research topic. Over the lifetime, 9767 publications have been published within this topic receiving 220721 citations. The topic is also known as: top-level ontology & foundation ontology.

Ontology Learning Part One — on Discovering Taxonomic Relations from the Web

Abstract: Ontologies may help to facilitate the finding and use of Web information However, the engineering of an ontology may turn out to be expensive and time-consuming Therefore, we exploit ontology learning techniques that automate ontology engineering to some extent In this chapter, we focus on the learning of the taxonomic backbone of ontologies, presenting a survey on algorithms as well as on some new ideas that consider the structure of existing ontology parts Eventually, we describe an evaluation of our proposal and give concrete results

Preface: tutorial on ontological engineering

Abstract: PREFACE This tutorial course describes the current state of the art of ontological engineering which is a successor of knowledge engineering. It covers theory, tools and applications and consists of three parts: Part 1 is an introduction to ontological engineering, Part 2 describes ontology development, languages and tools, and Part 3 is an advanced course dealing with philosophical issues of ontology design together with detailed guidelines of ontology development. Part 3 also presents a success story of ontological engineering with the deployment result in a company. The philosophy behind this tutorial is that ontological engineering is viewed as a challenge to enabling knowledge sharing and reuse which knowledge engineering failed to realize. Therefore, one of the major topics dealt with in this tutorial is to explain what an ontology should be while explaining how it is understood currently.

Design of product ontology architecture for collaborative enterprises

Abstract: As enterprises are subject to cope with frequently changing business environment, enterprises should integrate value chains such as supply chain and design chain. Sharing product information must precede for the integration. However, because most of the participants have different business experience and business domains, interoperability of product information among enterprises should be guaranteed for collaboration. To achieve interoperability, we suggest product ontology architecture through the investigation of generic ontology architecture. We first suggest 4-layered ontology architecture for an integrated value chain. Extending this ontology architecture, we develop product ontology architecture which facilitates building product ontologies that are referred to all related participants inbound and outbound of the enterprise for collaboration. Using a product ontology, each enterprise can have semantic interoperability across each other for collaborative works. Because product ontologies have the feature of evolving through product lifecycle, the proposed product ontology architecture reflects this evolving feature to guarantee semantic interoperability.

WebODE: An Integrated Workbench for Ontology Representation, Reasoning, and Exchange

Abstract: We present WebODE as a scalable, integrated workbench for ontological engineering that eases the modelling of ontologies, the reasoning with ontologies and the exchange of ontologies with other ontology tools and ontology-based applications. We will first describe the WebODE's knowledge model. We will then describe its extensible architecture, focusing on the set of independent ontology development functionalities that are integrated in this framework, such as the Ontology Editor, the Axiom Builder, the OKBC-based inference engine, and the documentation and interoperability services.