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The first-order logical environment FOLE [5] provides a rigorous and principled approach to distributed interoperable first-order information systems. FOLE has been developed in two forms: a classification form and an interpretation form.…

Databases · Computer Science 2023-04-25 Robert E. Kent

Semantic annotation is fundamental to deal with large-scale lexical information, mapping the information to an enumerable set of categories over which rules and algorithms can be applied, and foundational ontology classes can be used as a…

Computation and Language · Computer Science 2018-06-21 Vivian S. Silva , André Freitas , Siegfried Handschuh

The delineation of logical definitions for each class in an ontology and the consistent application of these definitions to the assignment of instances to classes are important criteria for ontology evaluation. If ontologies are specified…

Quantitative Methods · Quantitative Biology 2015-02-24 Benjamin M. Good , Gavin Ha , Chi K. Ho , Mark D. Wilkinson

Predicting the structure of a discourse is challenging because relations between discourse segments are often implicit and thus hard to distinguish computationally. I extend previous work to classify implicit discourse relations by…

Computation and Language · Computer Science 2018-08-27 Michael Roth

In this paper, we propose a first-order ontology for generalized stratified order structure. We then classify the models of the theory using model-theoretic techniques. An ontology mapping from this ontology to the core theory of Process…

Artificial Intelligence · Computer Science 2009-07-17 Dai Tri Man Le

Questions of set-theoretic size play an essential role in category theory, especially the distinction between sets and proper classes (or small sets and large sets). There are many different ways to formalize this, and which choice is made…

Category Theory · Mathematics 2008-10-08 Michael A. Shulman

The study proposes a framework of ONTOlogy-based Group Decision Support System (ONTOGDSS) for decision process which exhibits the complex structure of decision-problem and decision-group. It is capable of reducing the complexity of problem…

Artificial Intelligence · Computer Science 2011-07-18 Junyi Chai , James N. K. Liu

We present role logic, a notation for describing properties of relational structures in shape analysis, databases, and knowledge bases. We construct role logic using the ideas of de Bruijn's notation for lambda calculus, an encoding of…

Programming Languages · Computer Science 2007-05-23 Viktor Kuncak , Martin Rinard

This paper explores the ontological space of group well being, proposing a framework for representing collective welfare, group functions, and long term contributions within an ontology engineering context. Traditional well being theories…

Artificial Intelligence · Computer Science 2025-04-29 John Beverley , Regina Hurley

First-order logic is typically presented as the study of deduction in a setting with elementary quantification. In this paper, we take another vantage point and conceptualize first-order logic as a linear space that encodes "plausibility".…

Logic in Computer Science · Computer Science 2020-01-31 Daniel Huang

Deep learning models, while effective and versatile, are becoming increasingly complex, often including multiple overlapping networks of arbitrary depths, multiple objectives and non-intuitive training methodologies. This makes it…

Artificial Intelligence · Computer Science 2018-05-11 Iraklis A. Klampanos , Athanasios Davvetas , Antonis Koukourikos , Vangelis Karkaletsis

This paper reports on the results of the French ANR IMPEX research project dealing with making explicit domain knowledge in design models. Ontologies are formalised as theories with sets, axioms, theorems and reasoning rules. They are…

Software Engineering · Computer Science 2018-05-16 Yamine Ait Ameur , Idir Ait Sadoune , Kahina Hacid , Linda Mohand Oussaid

This paper presents a formal definition and explicit representation of robot motion risk. Currently, robot motion risk has not been formally defined, but has already been used in motion and path planning. Risk is either implicitly…

Robotics · Computer Science 2019-04-18 Xuesu Xiao , Jan Dufek , Robin Murphy

Studying the extent to which realism is compatible with quantum mechanics teaches us something about the quantum mechanical universe, regardless of the validity of such realistic assumptions. It has also recently been appreciated that these…

Quantum Physics · Physics 2007-09-28 Nicholas Harrigan , Terry Rudolph

The language of probability is used to define several different types of conditional statements. There are four principal types: subjunctive, material, existential, and feasibility. Two further types of conditionals are defined using the…

Logic · Mathematics 2014-09-29 Joseph W. Norman

Trees -- i.e., the type of data structure known under this name -- are central to many aspects of knowledge organization. We investigate some central design choices concerning the ontological modeling of such trees. In particular, we…

Artificial Intelligence · Computer Science 2017-10-17 David Carral , Pascal Hitzler , Hilmar Lapp , Sebastian Rudolph

The primary theme of this investigation is a decision theoretic account of conditional ought statements (e.g., "You ought to do A, if C") that rectifies glaring deficiencies in classical deontic logic. The resulting account forms a sound…

Artificial Intelligence · Computer Science 2013-03-08 Judea Pearl

Classifying entities in domain ontologies under upper ontology classes is a recommended task in ontology engineering to facilitate semantic interoperability and modelling consistency. Integrating upper ontologies this way is difficult and,…

Digital Libraries · Computer Science 2018-10-12 Robert Stevens , Phillip Lord , James Malone , Nicolas Matentzoglu

The present preprint specifies and defines all Terms, Properties, Relationships and Axioms of ProcessCO (Process Core Ontology). ProcessCO is an ontology devoted mainly for Work Entities and related terms, which is placed at the core level…

Artificial Intelligence · Computer Science 2021-08-09 Pablo Becker , Luis Olsina

A common problem in formulating models for the relative risk and risk difference is the variation dependence between these parameters and the baseline risk, which is a nuisance model. We address this problem by proposing the conditional log…

Methodology · Statistics 2016-11-21 Thomas S. Richardson , James M. Robins , Linbo Wang