Ontologies and data management: a brief survey

T Schneider, M Šimkus - KI-Künstliche Intelligenz, 2020 - Springer
Abstract Information systems have to deal with an increasing amount of data that is
heterogeneous, unstructured, or incomplete. In order to align and complete data, systems …

[图书][B] Ontology matching

J Euzenat, P Shvaiko - 2007 - Springer
An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

Comparison of reasoners for large ontologies in the OWL 2 EL profile

K Dentler, R Cornet, A Ten Teije, N De Keizer - Semantic Web, 2011 - content.iospress.com
This paper provides a survey to and a comparison of state-of-the-art Semantic Web
reasoners that succeed in classifying large ontologies expressed in the tractable OWL 2 EL …

Foundations of description logics

S Rudolph - Reasoning Web International Summer School, 2011 - Springer
This chapter accompanies the foundational lecture on Description Logics (DLs) at the 7th
Reasoning Web Summer School in Galway, Ireland, 2011. It introduces basic notions and …

Ontology-mediated query answering with data-tractable description logics

M Bienvenu, M Ortiz - Reasoning Web. Web Logic Rules: 11th …, 2015 - Springer
Recent years have seen an increasing interest in ontology-mediated query answering, in
which the semantic knowledge provided by an ontology is exploited when querying data …

A survey on knowledge representation in materials science and engineering: An ontological perspective

X Zhang, C Zhao, X Wang - Computers in Industry, 2015 - Elsevier
Informatics in materials science and engineering is playing more and more important role in
contemporary society. Intelligent applications such as new materials discovery, materials …

Modular ontology modeling

C Shimizu, K Hammar, P Hitzler - Semantic Web, 2023 - content.iospress.com
Reusing ontologies for new purposes, or adapting them to new use-cases, is frequently
difficult. In our experiences, we have found this to be the case for several reasons:(i) differing …

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models

S Feng, W Shi, Y Bai, V Balachandran, T He… - The Twelfth …, 2023 - openreview.net
By design, large language models (LLMs) are static general-purpose models, expensive to
retrain or update frequently. As they are increasingly adopted for knowledge-intensive tasks …

Logic-based ontology comparison and module extraction, with an application to DL-Lite

R Kontchakov, F Wolter, M Zakharyaschev - Artificial Intelligence, 2010 - Elsevier
We develop a formal framework for comparing different versions of ontologies, and apply it
to ontologies formulated in terms of DL-Lite, a family of 'lightweight'description logics …

An auto-adaptive dead reckoning algorithm for distributed interactive simulation

W Cai, FBS Lee, L Chen - Proceedings Thirteenth Workshop …, 1999 - ieeexplore.ieee.org
This paper describes a new, auto-adaptive algorithm for dead reckoning in DIS. In general
dead-reckoning algorithms use a fixed threshold to control the extrapolation errors. Since a …