Semantic Reference Model for Individualization of Information Processes in IoT Heterogeneous Environment

The individualization of information processes based on artificial intelligence (AI), especially in the context of industrial tasks, requires new, hybrid approaches to process modeling that take into account the novel methods and technologies both in the field of semantic representation of knowledge and machine learning. The combination of both AI techniques imposes several requirements and restrictions on the types of data and object properties and the structure of ontologies for data and knowledge representation about processes. The conceptual reference model for effective individualization of information processes (IIP CRM) proposed in this work considers these requirements and restrictions. This model is based on such well-known standard upper ontologies as BFO, GFO and MASON. Evaluation of the proposed model is done on a practical use case in the field of precise agriculture where IoT-enabled processes are widely used. It is shown that IIP CRM allows the construction of a knowledge graph about processes that are surrounded by unstructured data in soft and heterogeneous domains. CRM also provides the ability to answer specific questions in the domain using queries written with the CRM vocabulary, which makes it easier to develop applications based on knowledge graphs.

Intuitions on Semantic Reference

Since Machery et al. Cognition 92, B1-B12 (2004) attacked Kripke’s refutation of classical descriptivism, their experiment has been repeated several times, in its original version or in some revised ones, by theorists with contrasting intents. Some repeated the experiment for confirming its results, others for proving them unreliable. One striking characteristic of those surveys is that they mostly replicated the data collected in Machery et al.’s Cognition 92, B1-B12, 2004 experiment: less than 60% of Westerners showed preference for the causal-historical response. We side with the critics of Machery et al.’s experiment. In this paper, we present the results of a survey that tests some hypotheses for explaining that percentage of Westerners’ preferences without taking it as evidence that more than 40% of Westerners have descriptivist intuitions on semantic reference. The aim of our paper is not merely to question the reliability of Machery et al.’s experiment. In sections 4 and 5 we assess the impact of our survey on the current debate in experimental semantics. We provide a novel account of the nature of the epistemic ambiguity that affects experiments in theory of reference and explain the consequences that our account of the epistemic ambiguity has for subsequent works trying to avoid ambiguities.

Fear and Loathing in the Anthropocene: Grief, Compassion and the Benefits of Literature

This essay considers the nexus between literature and compassion in relation to the well-reported global environmental crisis and the attendant range of emotions, as signalled by the terms ‘ecocide’, ‘extinction crisis’ and ‘eco-anxiety’. While the words ‘grief’ and ‘hope’ have come to represent a range of associated emotions and feelings, there are important affective inflections occurring between these two semantic reference points, which are in themselves significant, if less amenable to debate and conversion to meaningful action. The following essay considers the nuances of these same affective extremities and emotional complexities, with particular reference to collective emotions such as anger and fear, and the implications of sustained feelings of dread, despair and collective trauma. The essay concludes by arguing for the constructive role of literature in mediating collective feeling and redirecting negative public emotions.

Kripkeans of the world, unite!

This paper revisits a study by Machery et al. (2004), suggesting that, in experimental versions of Kripke’s (1980) fictional cases on the use of proper names, Westerners are more likely than East Asian participants to show intuitions compatible with Kripke’s causal-historical (CH) theory of reference. We conducted two experiments, recruting participants from Norway and Bangladesh, either in English (experiment 1; N = 75) or in the participants’ native languages (experiment 2; N = 60), using modified cases and a new approach to data analysis. We replicated the results of Machery et al. (2004), but we show that the residual finding—i.e., that participants who are not aligned with CH produce responses consistent with a definite descriptions (DD) theory of reference—does not hold. Most participants in our experiments, and nearly all those who do not provide CH answers, respond as predicted by a theory that accommodates speaker’s reference in reasoning about uses of proper names, not according to DD. We suggest that cross-cultural variation in this task is real. However, explanations of variation within or across cultures need not invoke competing theories of reference (CH vs DD), and can be unified within a single, broadly Kripkean analysis that honors the basic distinction between semantic reference and speaker’s reference.

Resilience Strategy In Contemporary Iraqi City: Baghdad City as a Case Study

Over the past decade, the resilience concept has gained great importance in climate change, sustainability, and city disaster researches. To tackle the problem that follows the concept, this dissertation posits a formal theory of resilience. In this sense, resilience provides a semantic reference frame for city risks and disasters. Key terms, which fall under the purview of resilience, are defined. The research problem was crystallized to be formulated as “Our cities of today face many challenges and sudden shocks that are difficult to be predicted,” and “Negligence of the disparities in spatial competence has caused difficult situations to face sudden challenges and shocks to reach the more resilient city.” The aims of this research: 1) to build a conceptual framework for the concept of resilient cities, as well as the determination of spatial competence that has a significant impact on varying levels of resilience in places; 2) to reach a resilient Iraqi city strategy by adopting five more vital areas in Baghdad city. The research hypothesis is as follows: Adopting the presence of spatial competence in the area will facilitate the process of making resilient cities to face risks and sudden shocks. To achieve the research objective, the theoretical framework, built to consist the main research conclusion, was that there is spatial competence and place efficiency in any spatial dimension, which makes it difficult to deal with each place in the same way; every place has its own privacy and accessibility to its best strategies in temporal and spatial dimensions.

Predicative Names

This paper argues that proper names may have literal non-referential truth-conditional values, thereby undermining the notion of semantic reference.

SEMANTIC CHANGE DETECTION OF RIVER GROUND POINTS IN AIRBORNE LIDAR BATHYMETRY DATA USING VOXEL OCCUPANCIES

<p><strong>Abstract.</strong> This paper proposes a method to get semantic information of changes in bathymetric point clouds. This method aims for assigning labels to river ground points which determine if either the point can be compared with a reference DEM, if there are no data in the reference or if there are no water points inside the new Data of wet areas of the reference data. This labels can be further used to specify areas where differences of DEMS can be calculated, the comparable areas. The Areas where no reference data is found specify areas where the reference DEM will have a higher variance due to interpolation which should be considered in the comparison. The areas where no water in the new data was found specify areas there no refraction correction in the new data can be done and which should be considered with a higher variance of the ground points or there the water surface should be tried to reconstruct. The proposed approach uses semantic reference data to specify water areas in the new scan. An occupancy analysis is used to specify if voxels of the new data exist in the reference or not. In case of occupancy, the labels of the reference are assigned to the new data and in case of no occupancy, the label of changed data is assigned. A histogram based method is used to separate ground and water points in wet areas and a second occupancy analysis is used to specify the semantic changes in wet areas. The proposed method is evaluated on a proposed data set of the Mangfall area where the ground truth is manually labelled.</p>

THEMATIC CLASSIFICATION OF RELIGIOUSLY-MARKED PHRASEOLOGICAL UNITS

The article deals with a thematic analysis of religiously-marked phraseological units (RMPU) that reflect Religious World Picture (RWP), an inseparable constituent of both conceptual and linguistic world pictures. The selection of phraseological units is premised by two criterions, namely, etymological aspect and the presence of a religious component. Throughout data collection process in the focus of our interest have been only phraseological units that etymologically can be traced back to the Bible and phraseological units with religious components that bear semantic reference to religious entities. The classification embraces the notions, such as universally recognized religious values, ritually-ceremonial patterns and dogmas, supernatural conceptions, moral values reflecting personal, intellectual and social characteristics of an individual. Each group, in turn, is divided into a number of subgroupings.

Semantic Technologies for Medical Knowledge Representation

The ongoing rapid growth of diversity of data and their wide use to solve different complex tasks resulted in a significant number of semantic reference systems enriched with vocabularies, thesauri, terminologies, and ontologies. The extensive use of ontologies stemmed a new approach to build modern intelligent systems in reusing and sharing pieces of declarative knowledge. A lot of effort has been made to produce standard ontologies for medical knowledge representation. This chapter brings an overview of semantic knowledge representation frameworks such as RDF and OWL for developing ontology-based medical systems. The chapter presents the state of the art in ontology resources/systems so that it could be useful for learners and researchers involved in interdisciplinary research areas that include medicine and information technology. Also, a clinical use case is illustrated highlighting the role of ontology in the medical domain.