We report on our test of the Large Language Model (LLM) ChatGPT (GPT) as a tool for generating evidence of the ordinary meaning of statutory terms, We explain why the most useful evidence for interpretation involves a distribution of replies rather than only what GPT regards as the single "best"...

Abstract I contrast the “data fitting” vs “data interpreting” approaches to data science along three dimensions: Expediency, Transparency, and Explainability. “Data fitting” is driven by the faith that the secret to rational decisions lies in the data itself. In contrast, the...

Der Erfahrungsaustausch über gute Praxis ist eine Grundvoraussetzung für das Verständnis zwischen Mensch und Technik, welches dabei hilft, dem Menschen als strategischen Entscheider und Nutzer eine optimale Unterstützung zukommen zu lassen. Um der Frage nachzugehen, was gute Praxis im...

A basic principle of economics is that people always prefer a larger set of opportunities. Money illusion can be considered as the phenomenon that people may not perceive correctly their budget constraints, and may act in ways that run counter to this preference. In this view money illusion is a...

A basic principle of economics is that people always prefer a larger set of opportunities. Money illusion can be considered as the phenomenon that people may not perceive correctly their budget constraints, and may act in ways that run counter to this preference. In this view money illusion is a...

Purpose The purpose of this paper is to identify the concepts, component parts and relationships between vocabularies, linked data and knowledge graphs (KGs) from the perspectives of data and knowledge transitions. Design/methodology/approach This paper uses conceptual analysis methods. This...

Purpose The purpose of this paper is to provide a critical analysis from an ethical perspective of how the concept of indigenous wayfinding and voyaging is mapped in knowledge representation, organization and discovery systems. Design/methodology/approach In this study, the Dewey Decimal...

Kürzere Produktlebenszyklen zwingen Unternehmen dazu notwendige Produktionssysteme in immer kürzeren Abständen neu zu planen oder anzupassen. Grundlegende Entscheidungen über den Aufbau des Produktionssystems werden bereits in der Konzipierungsphase festgelegt. Anhand des vorliegenden...

In this strictly positional paper we propose a general approach to bipolar knowledge representation, where the meaning of concepts can be modelled by examining their decomposition into opposite and neutral categories. In particular, it is the semantic relationship between the opposite categories...

This paper presents a rule structure called Concept Based Censor Production Rule (CBCPR) that deals with real time cases. CBCPR is an extension of a rule structure called Censored Production Rule (CPR). CPR is a standard rule structure with UNLESS slot, which contains various censor conditions...

This article presents SmartSOP, a framework for IT support of clinical laboratory standards. Adoption of laboratory standards and good practices is critical for ensuring high-quality health services, but clinical labs are dealing with many challenges in following lab standards. The proposed IT...

Fujitsu HIKARI is an artificial intelligence solution to assist clinicians in medical decision making, developed in the context of a joint collaboration project between Fujitsu Laboratories of Europe and Hospital Clínico San Carlos. This decision support system leverages on data analytics...

Cognitive knowledge learning (CKL) is a fundamental methodology for cognitive robots and machine learning. Traditional technologies for machine learning deal with object identification, cluster classification, pattern recognition, functional regression and behavior acquisition. A new category of...

This article describes a semantic framework that demonstrates an approach for modeling and reasoning based on environment knowledge representation language (EKRL) to enhance interaction between robots and their environment. Unlike EKRL, standard Binary approaches like OWL language fails to...

Automated evaluation systems for objective type tests already exist. However, it is challenging to make an automated evaluation system for subjective type tests. Therefore, focus of this paper is on evaluation of simple text based subjective answers using Natural Language Processing techniques....

Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and...

Domain ontologies and conceptual models similarly capture and represent concepts from the real world for inclusion in an information system. This paper examines challenges of conceptual modeling and domain ontology development when mapping to high-level ontologies. The intent is to reconcile...

"[This book] is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual...

The purpose of the architecture of software systems in business organizations is to support those organizations in achieving business goals. In software development organizations the design of an architecture is a collective effort that involves various organizational stakeholders and designers,...

The current paper aims to study Web ontologies from a semiotic perspective. On the one hand, the study of signs is constantly used lately in the analysis of the social life, of organisations and informational systems. On the other hand, Web ontologies may be seen as systems of signs, wishing to...

Knowledge is one of the fundamental cognitive objects in the brain among those of data, information, and intelligence. Knowledge can be classified into two main categories, i.e., conceptual knowledge for knowing to-be and behavioral knowledge for knowing to-do, particularly the former. This...

Knowledge learning is the sixth and the most fundamental category of machine learning mimicking the brain. It is recognized that the semantic space of machine knowledge is a hierarchical concept network (HCN), which can be rigorously represented by formal concepts in concept algebra and semantic...

Early, effective director-producer communication enables detection of resource-demanding film production requirements so that a workable production plan can be formed. Traditional communication tools are limited to articulating standard production elements as lists. Yet, production complexity...

The article emphasizes the theoretical principles of knowledge representation. The paper also tries to show how to represent knowledge in the context of e-business applications creating a tagging platform for economic knowledge using SKOS language.

This paper presents some original techniques for implementing accounting knowledge in PROLOG language. We will represent rules of operation of accounts, the texts of accounting operations, and how to compute the depreciation.