Mapping Conceptual Variation through A Thesaurus of Old English and Evoke

2021 ◽  
Vol 81 (3-4) ◽  
pp. 442-456
Author(s):  
Fahad Khan ◽  
Javier E. Díaz-Vera ◽  
Francisco Javier Minaya Gómez ◽  
Rafael Cruz González ◽  
Monica Monachini
Keyword(s):  
Old English ◽  
Linked Data ◽  
Figurative Language ◽  
Semantic Description ◽  
Data Resource ◽  
Ongoing Work ◽  
Conceptual Variation

Abstract The topic of figurative language in Old English (OE) has recently become the focus of substantial research. In this article, the authors will describe work on the semantic description of the lexicon of shame words in OE and in particular the taxonomical organisation of this lexicon on the basis of different kinds of semantic mappings (metonymic, metaphorical). Next, they will explore the use of the Evoke platform as a means of visualising and navigating this lexicon and show how it can be used to enrich A Thesaurus of Old English (TOE). The authors also describe ongoing work on the modelling and publication of this data as a linked data resource consisting of a lexicon and a taxonomy in SKOS of different kinds of metaphoric/metonymic sense shifts.

scholarly journals Building and Using Data Resources for Research on Job Characteristics, Health, and Retirement

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 231-231
Author(s):  
Amanda Sonnega ◽  
Gwen Fisher
Keyword(s):  
Linked Data ◽  
Later Life ◽  
Life Outcomes ◽  
Job Complexity ◽  
Data Resource ◽  
Longitudinal Measurement ◽  
Ongoing Work ◽  
Occupational Information Network ◽  
Using Data

Abstract A growing literature seeks to understand the relationship between the experience of work and important later-life outcomes. Rich longitudinal measurement of both sides of this equation in datasets such as the Health and Retirement Study (HRS) have made this research possible. These data take the form of self-reported experiences of work (such as physical demands, job flexibility, job satisfaction etc.). Increasingly, researchers are looking to add potentially complementary information on the work environment available in the Occupational Information Network (O*NET) database through a linkage using occupation and industry codes in the survey data. The session talks will describe research conducted using O*NET linked with HRS data as well as ongoing work to create a new data resource that will allow other researchers to undertake research with O*NET-HRS linked data. Each presentation will include some discussion of both the value and limits of using the linkage to O*NET. Carpenter will provide a detailed description a new project linking the 2019 O*NET data to the HRS for public use.This presentation explains the types of variables that will be made available in the O*NET-HRS occupation project and will provide examples for how the measures can be used in longitudinal HRS studies. Using O*NET-HRS linked data, Carr will present on work examining the role of preretirement job complexity in alternative retirement paths and cognitive performance. Helppie-McFall will used the linked data to discuss the role of mismatch between demands of work and workers’ ability to meet those demands in retirement decisions.

scholarly journals Evoke

2021 ◽  
Vol 81 (3-4) ◽  
pp. 318-358
Author(s):  
Sander Stolk
Keyword(s):  
Old English ◽  
Web Application ◽  
Linked Data ◽  
English Studies ◽  
Multiple Sources ◽  
Digital Resources ◽  
Powerful Research Tool ◽  
Recent Developments ◽  
Linguistic Analyses ◽  
The Web

Abstract This article provides an introduction to the web application Evoke. This application offers functionality to navigate, view, extend, and analyse thesaurus content. The thesauri that can be navigated in Evoke are expressed in Linguistic Linked Data, an interoperable data form that enables the extension of thesaurus content with custom labels and allows for the linking of thesaurus content to other digital resources. As such, Evoke is a powerful research tool that facilitates its users to perform novel cultural linguistic analyses over multiple sources. This article further demonstrates the potential of Evoke by discussing how A Thesaurus of Old English was made available in the application and how this has already been adopted in the field of Old English studies. Lastly, the author situates Evoke within a number of recent developments in the field of Digital Humanities and its applications for onomasiological research.

scholarly journals GDPRtEXT - GDPR as a Linked Data Resource

2018 ◽  
pp. 481-495 ◽  
Author(s):  
Harshvardhan J. Pandit ◽  
Kaniz Fatema ◽  
Declan O’Sullivan ◽  
Dave Lewis
Keyword(s):  
Linked Data ◽  
Data Resource

scholarly journals Ælfric’s Expressions for Shame and Guilt: A Study in Intra-Writer Conceptual Variation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Javier E. Díaz-Vera
Keyword(s):  
Social Control ◽  
Old English ◽  
Negative Evaluation ◽  
Anglo Saxon ◽  
Highly Educated ◽  
Fine Grained ◽  
Shame And Guilt ◽  
Conceptual Variation ◽  
Figurative Expressions

Abstract This research focuses on the analysis of onomasiological variation in Old English texts written by Ælfric; more specifically, I am interested in the study of the different motifs that shape the linguistic expressions of shame and guilt used by this Anglo-Saxon monk across different textual genres. Through the fine-grained analysis of the whole set of shame and guilt expressions recorded in the entire corpus of Ælfrician texts, a network of literal and figurative conceptualizations for each emotion is proposed here. Based on this network, I have reconstructed and analysed patterns of conceptual variation in Ælfric’s English in order to show the existing tension between literal, metonymic and metaphoric expressions for these two emotions. As shall be seen here, the introduction in Anglo-Saxon England of Augustinian psychology by Ælfric and other highly educated authors favoured (i) the progressive neglect of the Germanic concept of shame and guilt as instruments of social control, (ii) the dissemination of new shame-related values, and (iii) the growing use of a new set of embodied conceptualizations for the two emotions under scrutiny here, most of which have become common figurative expressions of shame and guilt in later varieties of English. The new expressions (e.g., SHAME IS SOMETHING COVERING A PERSON, GUILT IS A BURDEN) illustrate the shift towards a progressive embodiment of the new emotional standards brought by Christianization. According to these standards, rather than an external judgment or reproach, shame and guilt involve a negative evaluation of oneself.

scholarly journals Semantic role labeling for knowledge graph extraction from text

2021 ◽  
Author(s):  
Mehwish Alam ◽  
Aldo Gangemi ◽  
Valentina Presutti ◽  
Diego Reforgiato Recupero
Keyword(s):  
Linked Data ◽  
Knowledge Graph ◽  
Semantic Role ◽  
Semantic Role Labeling ◽  
Formal Representation ◽  
Shared Task ◽  
Frame Semantics ◽  
Data Resource ◽  
Semantic Dependencies ◽  
Labeling Method

AbstractThis paper introduces , a new semantic role labeling method that transforms a text into a frame-oriented knowledge graph. It performs dependency parsing, identifies the words that evoke lexical frames, locates the roles and fillers for each frame, runs coercion techniques, and formalizes the results as a knowledge graph. This formal representation complies with the frame semantics used in Framester, a factual-linguistic linked data resource. We tested our method on the WSJ section of the Peen Treebank annotated with VerbNet and PropBank labels and on the Brown corpus. The evaluation has been performed according to the CoNLL Shared Task on Joint Parsing of Syntactic and Semantic Dependencies. The obtained precision, recall, and F1 values indicate that TakeFive is competitive with other existing methods such as SEMAFOR, Pikes, PathLSTM, and FRED. We finally discuss how to combine TakeFive and FRED, obtaining higher values of precision, recall, and F1 measure.

Linked Data

2019 ◽  
pp. 87-113
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Linked Data ◽  
Query Language ◽  
Exciting Field ◽  
Data Resource ◽  
Simple Protocol ◽  
Web Of Data ◽  
Promising Solution ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The data on the web is heterogeneous and distributed, which makes its integration a sine qua non-condition for its effective exploitation within the context of the semantic web or the so-called web of data. A promising solution for web data integration is the linked data initiative, which is based on four principles that aim to standardize the publication of structured data on the web. The objective of this chapter is to provide an overview of the essential aspects of this fairly recent and exciting field, including the model of linked data: resource description framework (RDF), its query language: simple protocol, and the RDF query language (SPARQL), the available means of publication and consumption of linked data, and the existing applications and the issues not yet addressed in research.

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