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相关论文: Modeling OWL with Rules: The ROWL Protege Plugin

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In order to automate verification process, regulatory rules written in natural language need to be translated into a format that machines can understand. However, none of the existing formalisms can fully represent the elements that appear…

人工智能 · 计算机科学 2018-04-10 Ho-Pun Lam , Mustafa Hashmi

Ontology is a popular method for knowledge representation in different domains, including the legal domain, and description logics (DL) is commonly used as its description language. To handle reasoning based on inconsistent DL-based legal…

人工智能 · 计算机科学 2022-09-20 Zhe Yu , Yiwei Lu

While there exist several reasoners for Description Logics, very few of them can cope with uncertainty. BUNDLE is an inference framework that can exploit several OWL (non-probabilistic) reasoners to perform inference over Probabilistic…

人工智能 · 计算机科学 2022-02-04 Giuseppe Cota , Riccardo Zese , Elena Bellodi , Evelina Lamma , Fabrizio Riguzzi

Rules complement and extend ontologies on the Semantic Web. We refer to these rules as onto-relational since they combine DL-based ontology languages and Knowledge Representation formalisms supporting the relational data model within the…

人工智能 · 计算机科学 2012-10-30 Francesca A. Lisi

This paper shows how knowledge representation and reasoning techniques can be used to support organizations in complying with the GDPR, that is, the new European data protection regulation. This work is carried out in a European H2020…

人工智能 · 计算机科学 2020-01-16 P. A. Bonatti , L. Ioffredo , I. Petrova , L. Sauro , I. R. Siahaan

Rule-based explanations provide simple reasons explaining the behavior of machine learning classifiers at given points in the feature space. Several recent methods (Anchors, LORE, etc.) purport to generate rule-based explanations for…

机器学习 · 计算机科学 2023-01-24 Brett Mullins

The Semantic Web ontology language OWL 2 DL comes with a variety of language features that enable sophisticated and practically useful modeling. However, the use of these features has been severely restricted in order to retain decidability…

人工智能 · 计算机科学 2013-04-30 Michael Schneider , Sebastian Rudolph , Geoff Sutcliffe

The ability of Large Language Models (LLMs) to perform reasoning tasks such as deduction has been widely investigated in recent years. Yet, their capacity to generate proofs-faithful, human-readable explanations of why conclusions…

人工智能 · 计算机科学 2026-01-21 Hui Yang , Jiaoyan Chen , Uli Sattler

OWL (Web Ontology Language) ontologies, which are able to represent both relational and type facts as standard knowledge graphs and complex domain knowledge in Description Logic (DL) axioms, are widely adopted in domains such as healthcare…

人工智能 · 计算机科学 2025-02-05 Hui Yang , Jiaoyan Chen , Uli Sattler

Building rules on top of ontologies is the ultimate goal of the logical layer of the Semantic Web. To this aim an ad-hoc mark-up language for this layer is currently under discussion. It is intended to follow the tradition of hybrid…

人工智能 · 计算机科学 2007-11-13 Francesca A. Lisi

The rule-based OWL reasoning is to compute the deductive closure of an ontology by applying RDF/RDFS and OWL entailment rules. The performance of the rule-based OWL reasoning is often sensitive to the rule execution order. In this paper, we…

数据库 · 计算机科学 2016-10-04 Zhihui Liu , Zhiyong Feng , Xiaowang Zhang , Xin Wang , Guozheng Rao

OWL 2 has been standardized by the World Wide Web Consortium (W3C) as a family of ontology languages for the Semantic Web. The most expressive of these languages is OWL 2 Full, but to date no reasoner has been implemented for this language.…

人工智能 · 计算机科学 2011-08-02 Michael Schneider , Geoff Sutcliffe

To exploit the Web Ontology Language OWL as an answer set programming (ASP) language, we introduce the notion of bounded model semantics, as an intuitive and computationally advantageous alternative to its classical semantics. We show that…

编程语言 · 计算机科学 2015-11-04 Sarah Alice Gaggl , Sebastian Rudolph , Lukas Schweizer

The paper advocates for LLMs to enhance the accessibility, usage and explainability of rule-based legal systems, contributing to a democratic and stakeholder-oriented view of legal technology. A methodology is developed to explore the…

人工智能 · 计算机科学 2023-11-21 Marco Billi , Alessandro Parenti , Giuseppe Pisano , Marco Sanchi

Authoring of OWL-DL ontologies is intellectually challenging and to make this process simpler, many systems accept natural language text as input. A text-based ontology authoring approach can be successful only when it is combined with an…

人工智能 · 计算机科学 2017-10-02 Kevin Alex Mathews , P Sreenivasa Kumar

As todays world grows with the technology on the other hand it seems to be small with the World Wide Web. With the use of Internet more and more information can be search from the web. When Users fires a query they want relevancy in…

信息检索 · 计算机科学 2013-11-26 Debajyoti Mukhopadhyay , Sajeeda Shikalgar

We propose a framework grounded in Logic Programming for representing and reasoning about business processes from both the procedural and ontological point of views. In particular, our goal is threefold: (1) define a logical language and a…

人工智能 · 计算机科学 2014-10-08 Fabrizio Smith , Maurizio Proietti

Reasoning in the Semantic Web (SW) commonly uses Description Logics (DL) via OWL2 DL ontologies, or SWRL for variables and Horn clauses. The Rule Interchange Format (RIF) offers more expressive rules but is defined outside RDF and rarely…

数据库 · 计算机科学 2025-08-19 Dörthe Arndt , William Van Woensel , Dominik Tomaszuk

We propose a new mechanism for integration of OWL ontologies using semantic import relations. In contrast to the standard OWL importing, we do not require all axioms of the imported ontologies to be taken into account for reasoning tasks,…

人工智能 · 计算机科学 2017-05-16 Yevgeny Kazakov , Denis Ponomaryov

We present WebProt\'eg\'e, a tool to develop ontologies represented in the Web Ontology Language (OWL). WebProt\'eg\'e is a cloud-based application that allows users to collaboratively edit OWL ontologies, and it is available for use at…

信息检索 · 计算机科学 2019-03-07 Matthew Horridge , Rafael S. Gonçalves , Csongor I. Nyulas , Tania Tudorache , Mark A. Musen