Syntagmatic relations as a means of representation of the semantic scope of agentives male teacher / female teacher in the prose of F. A. Vigdorova of the 1950s –1960s

The subject of this research is the units of predicate lexis with regards to the terms male teacher / female teacher in the texts of F. A. Vigdorova of the 1950s – 1960s. The goal is to determine the role of syntagmatic relations of agentives male teacher / female teacher in the prose of F. A. Vigdorova of the indicated period. The article explores the lexicographic data, semantics of adjectives, participles and verbs for the terms male teacher / female teacher, adjectives, participles, verbs as a means of characterization in the prose of F. A. Vigdorova of the 1950s – 1960s. The article employs the methods of linguistic observation, description, statistical calculation, and the elements of component analysis. It is established that the important role in literary space, the writer assigns to adjectives (less often to participles) and verbs, which express the author's intention manifested in the pragmatic potential of the terms male teacher / female teacher. The adjectives and participles as a means of predication compile a generalized “portrait” of the teacher, implicitly translating the message of F. A. Vigdorova on professionalism, duty, and responsibility of the teacher before children, nation, and the country. The verbs represent the multifaceted activity of the teacher, engagement in all spheres of life, aspiration to create. Adjectives, participles, and verbs as a means of characterization of agentives male teacher / female teacher reveal the author’s perspective upon the problems of education and upbringing, indicating the special role of the teacher in life of an individual and personal growth. The relevance of the article lies in the analysis of syntagmatic relations of agentives male teacher / female teacher in the prose of F. A. Vigdorova of the 1950s – 1960ws. The acquired results can be used in preparation of lectures, practical classes on linguistic semantics, linguoculturology, as well as literary language in the higher education institutions.

Reading datasets: Strategies for interpreting the politics of data signification

All datasets emerge from and are enmeshed in power-laden semiotic systems. While emerging data ethics curriculum is supporting data science students in identifying data biases and their consequences, critical attention to the cultural histories and vested interests animating data semantics is needed to elucidate the assumptions and political commitments on which data rest, along with the externalities they produce. In this article, I introduce three modes of reading that can be engaged when studying datasets—a denotative reading (extrapolating the literal meaning of values in a dataset), a connotative reading (tracing the socio-political provenance of data semantics), and a deconstructive reading (seeking what gets Othered through data semantics and structure). I then outline how I have taught students to engage these methods when analyzing three datasets in Data and Society—a course designed to cultivate student competency in politically aware data analysis and interpretation. I show how combined, the reading strategies prompt students to grapple with the double binds of perceiving contemporary problems through systems of representation that are always situated, incomplete, and inflected with diverse politics. While I introduce these methods in the context of teaching, I argue that the methods are integral to any data practice in the conclusion.

Challenges to Multimedia Privacy and Security Over Social Media

With the rise in usage of social media, large quantities of data like pictures, videos, audio, and computer graphics are created. As the data is shared over the network, security and privacy become important concerns. Social networks are most popular and have become a medium for instant information sharing. Facebook, Instagram, WhatsApp are the most popular social networks. There has been extreme increase in the usage of audiovisual data over the social network. When multimedia data are stored in a networked environment, billions of users get connected to it for different purposes. The privacy challenges are personification, harassment, password sharing, location-oriented services, and privacy vs. marketing. The other challenges are data semantics, content management rights, and false information. There has been significant contribution by the researchers in development of security systems against these threats; still, the problems of clickjacking, short URL, phishing remain unresolved for some network architectures.

A Prototype Geospatial Knowledge Graph for National Topographic Mapping

Knowledge graphs (KG) are a virtual layer connecting disparate databases into an interoperable framework. Though the application of KGs for enterprises are increasing, geospatial KG design is not common. This presentation describes U.S. Geological Survey (USGS) research to build KGs for integrating geospatial and non-spatial attribute semantics of topographic data. Those geographic information system databases are composed of various feature types and metadata attributes organized various themes and stored in different data formats, such as geodatabases, flat-file spreadsheets, and raster images. The system being created tests two research objectives: 1) the feasibility of semantic technology approaches for geospatial data within the context of national topographic data and 2) the contribution to building a body of knowledge about system architecture for geospatial ontologies and linked open data. This presentation discusses the context of topographic data semantics, the problem and aims of building the system, and the integrated KG framework. The basic workflow and operations of the system architecture consisting of open-source software are described. The architecture modifies existing software with unique solutions such as performing GeoSPAQL queries with Postgres, a relational table datastore, and a map interface with extensions to support linked data queries as browseable graphs. As public spatial data infrastructure, the system is made available as a Docker Container on GitHub.

Open IoT Architecture for Continuous Patient Monitoring in Emergency Wards

Due to multiple reasons, emergency wards can become overloaded with patients, some of which can be in critical health conditions. To improve the emergency service and avoid deaths and serious adverse events that could be potentially prevented, it is mandatory to do a continuous monitoring of patients physiological parameters. This is a good fit for Internet of Things (IoT) technology, but the scenario imposes hard constraints on autonomy, connectivity, interoperability, and delay. In this paper, we propose a full Internet-based architecture using open protocols from the wearable sensors up to the monitoring system. Particularly, we use low-cost and low-power WiFi-enabled wearable physiological sensors that connect directly to the Internet infrastructure and run open communication protocols, namely, oneM2M. At the upper end, our architecture relies on openEHR for data semantics, storage, and monitoring. Overall, we show the feasibility of our open IoT architecture exhibiting 20–50 ms end-to-end latency and 30–50 h sensor autonomy at a fraction of the cost of current non-interoperable vertical solutions.