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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.


Papers
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Journal ArticleDOI
TL;DR: A collection of techniques for incremental reasoning—that is, reasoning that reuses information obtained from previous versions of an ontology—is proposed and applied to incremental classification of OWL ontologies and found significant improvement over regular classification time on a set of real-world ontologies.
Abstract: The development of ontologies involves continuous but relatively small modifications. However, existing ontology reasoners do not take advantage of the similarities between different versions of an ontology. In this paper, we propose a collection of techniques for incremental reasoning--that is, reasoning that reuses information obtained from previous versions of an ontology. We have applied our results to incremental classification of OWL ontologies and found significant improvement over regular classification time on a set of real-world ontologies.

45 citations

Journal ArticleDOI
TL;DR: An approach for ontology population from natural language English texts that extracts RDF triples according to FrameBase, a Semantic Web ontology derived from FrameNet, which is evaluated on a manually annotated gold standard, assessing precision/recall in PIKES.
Abstract: We present an approach for ontology population from natural language English texts that extracts RDF triples according to FrameBase, a Semantic Web ontology derived from FrameNet. Processing is decoupled in two independently-tunable phases. First, text is processed by several NLP tasks, including Semantic Role Labeling (SRL), whose results are integrated in an RDF graph of mentions , i.e., snippets of text denoting some entity/fact. Then, the mention graph is processed with SPARQL-like rules using a specifically created mapping resource from NomBank/PropBank/FrameNet annotations to FrameBase concepts, producing a knowledge graph whose content is linked to DBpedia and organized around semantic frames , i.e., prototypical descriptions of events and situations. A single RDF/OWL representation is used where each triple is related to the mentions/tools it comes from. We implemented the approach in PIKES, an open source tool that combines two complementary SRL systems and provides a working online demo. We evaluated PIKES on a manually annotated gold standard, assessing precision/recall in (i) populating FrameBase ontology, and (ii) extracting semantic frames modeled after standard predicate models, for comparison with state-of-the-art tools for the Semantic Web. We also evaluated (iii) sampled precision and execution times on a large corpus of 110 K Wikipedia-like pages.

45 citations

Proceedings ArticleDOI
17 May 2004
TL;DR: A possible simplification of theseantic Web architecture is suggested, which has several import antadvantages with respect to the layering currently accepted by the W3C Ontology Working Group.
Abstract: In the semantic Web architecture, Web ontology languages arebuilt on top of RDF(S). However, serious difficulties have arisen when trying to layer expressive ontology languages, like OWL, on top of RDF-Schema. Although these problems can be avoided, OWL (andthe whole semantic Web architecture) becomes much more complex than it should be. In this paper, a possible simplification of thesemantic Web architecture is suggested, which has several import antadvantages with respect to the layering currently accepted by the W3C Ontology Working Group.

45 citations

Book ChapterDOI
25 Oct 2004
TL;DR: The purpose is to extract semantic relations from text corpora in an unsupervised way and use the output as preprocessed material for the construction of ontologies from scratch.
Abstract: We report on an a set of experiments carried out in the context of the Flemish OntoBasis project. Our purpose is to extract semantic relations from text corpora in an unsupervised way and use the output as preprocessed material for the construction of ontologies from scratch. The experiments are evaluated in a quantitative and ”impressionistic” manner.

45 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202343
2022155
20219
20205
20199
201838