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.

Classifying processes: an essay in applied ontology.

Abstract: We begin by describing recent developments in the burgeoning discipline of applied ontology, focusing especially on the ways ontologies are providing a means for the consistent representation of scientific data We then introduce Basic Formal Ontology (BFO), a top-level ontology that is serving as domain-neutral framework for the development of lower level ontologies in many specialist disciplines, above all in biology and medicine BFO is a bicategorial ontology, embracing both three-dimensionalist (continuant) and four-dimensionalist (occurrent) perspectives within a single framework We examine how BFO-conformant domain ontologies can deal with the consistent representation of scientific data deriving from the measurement of processes of different types, and we outline on this basis the first steps of an approach to the classification of such processes within the BFO framework1

A Framework for Multilingual Ontology Mapping

Abstract: In the field of ontology mapping, multilingual ontology mapping is an issue that is not well explored. This paper proposes a framework for mapping of multilingual Description Logics (DL) ontologies. First, the DL source ontology is translated to the target ontology language, using a lexical database or a dictionary, generating a DL translated ontology. The target and the translated ontologies are then used as input for the mapping process. The mappings are computed by specialized agents using different mapping approaches. Next, these agents use argumentation to exchange their local results, in order to agree on the obtained mappings. Based on their preferences and confidence of the arguments, the agents compute their preferred mapping sets. The arguments in such preferred sets are viewed as the set of globally acceptable arguments. A DL mapping ontology is generated as result of the mapping process. In this paper we focus on the process of generating the DL translated ontology.

Hontology: A Multilingual Ontology for the Accommodation Sector in the Tourism Industry

Abstract: Ontologies have been used to support both web agents reasoning and human decision making. However, ontology development is a new area and for some knowledge domains they are still rare. Although ontologies had been developed in the context of Semantic Web, it is the Web 2.0 content that is actually pervasive on the web. One of the properties of this content is to be multilingual, which requires multilingual resources to deal with it. Online reviews are examples of multilingual texts provided by products and services consumers. This paper presents a multilingual ontology for the accommodation sector. As a result, we deliver Hontology, a freely available domain-specific ontology. Hontology reuses concepts of other vocabularies such as Dbpedia.org and Schema.org. It is useful for a wide range of applications within the accommodation sector, including ontology-based information extraction, text annotation and information visualisation.

An efficient adaptive focused crawler based on ontology learning

Abstract: The enormous growth of the World Wide Web has made it important to perform resource discovery efficiently. Consequently, several new ideas have been proposed; among them a key technique is focused crawling which is able to crawl particular topical portions of the World Wide Web quickly without having to explore all Web pages. In this paper, we present an intelligent focused crawler algorithm in which we embed ontology to evaluate the page's relevance to the topic. Compared with other algorithms using domain knowledge, our algorithm can evolve the ontology automatically during crawl process. Considering the instinct characteristics of the ontology, propagation has also been imported to accelerate the evolution of the ontology. We applied our approaches in several tasks and provided an empirical evaluation which has shown promising results.