Towards Interoperability in the European Poetry Community: The Standardization of Philological Concepts

Sabel, Helena Bermúdez; Malta, Mariana Curado; González-Blanco, Elena

doi:10.1007/978-3-319-59888-8_14

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…For example, in poetry, a local vocabulary might include information about imaginary legends and mythical persons, which would then be linked to the more general PWN sense imaginary_being.n.01. Work aiming at publishing European Poetry Data, thus addressing the contextual interpretation of concepts via Linked Open Data, is cited in [109]. Recent research in the extraction of domain specific lexicons [52] focuses primarily on sentiment analysis.…”

Section: Discussionmentioning

confidence: 99%

Extraction of Poetic and Non-Poetic Relations From of-Prepositions Using WordNet

Panayiotou

2022

IEEE Access

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The main goal of this paper is to extract the semantic relations underpinning the concepts of English prepositional of-constructions derived from poetic and non-poetic datasets, using Princeton WordNet. The problem is addressed by two different algorithms, which are evaluated for their ability to model the different types of resources from which the relations are derived, and for their ability to predict unseen relations. The first algorithm introduces the concept of subsumption hierarchy between relations in order to derive the most general relations associated to each type of data source and identify a set of relations specific to each dataset. The second algorithm investigates the use of a weighting scheme in order to establish the importance of each association extracted. Of particular importance are the notions of subsumption hierarchies between relations (expressed as synset pairs) and the Inverse Relation Frequency (IRF) measure, which is inspired by the Inverse Document Frequency measure used in Information Retrieval. The ontological prospects of using Princeton WordNet and the above algorithms for the creation of ontologies are also briefly discussed. Although the main interest of the proposed methods lies to the identification of conceptual relations particular to poetic resources, the methods followed can be applied and are evaluated on other domains too.

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Section: Discussionmentioning

confidence: 99%

Extraction of Poetic and Non-Poetic Relations From of-Prepositions Using WordNet

Panayiotou

2022

IEEE Access

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“…This work required us to deal problems related to the potential inconsistency of concepts. These problems had previously been addressed by experts in the poetry domain (Bermúdez-Sabel, Curado Malta, et al 2017;Bermúdez-Sabel, Díez Platas, et al 2019;González-Blanco, Rio Riande, et al 2016). The final conceptual model included both descriptive and bibliographic aspects of the poetic works.…”

Section: Ontology Network Methodologymentioning

confidence: 99%

Description of Postdata Poetry Ontology V1.0

Platas¹,

Sabel²,

Ros³

et al. 2022

Tackling the Toolkit: Plotting Poetry Through Computational Literary Studies

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One stream of work in the digital humanities focuses on interoperability processes and the description of traditional concepts using computer-readable languages. In the case of literary studies, there has been some research into these topics, but the complexity of the knowledge domain remains an issue. This complexity is based on the different interpretations of concepts in different traditions, the use of isolated and private databases, unique applications of language and, thus, the richness of poetic information. All of this suggests the need to explore new options to represent the complexity in computer-readable language. This paper presents an ontology network designed to capture poetry domain knowledge. The ontologies in question relate to poetic works and their structural and prosodic components.

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“…We may find different terms for the same concept in which the use of one term over the other is related to philological schools (synonimy). In these cases, we need to evaluate which one is the less aligned (Bermu ´dez-Sabel et al, 2017).…”

Section: Synonymy and Quasi-synonymymentioning

confidence: 99%

Towards a common model for European poetry: Challenges and solutions

Sabel

Platas

Ros

et al. 2021

Digital Scholarship in the Humanities

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This paper stems from the analysis of multiple poetic resources that were available online, as well as the results of methodological discussions with scholars of European Literature. The goal was to retrieve the informational needs of all these different sources in order to build a common data model for European Poetry (EP). Thus, by implementing a reverse engineering method, we have created the Domain Model for EP, which is an important breakthrough for making existent poetry resources interoperable. The lack of a uniform academic approach to analyse and classify poetic manifestations, the divergence of theories when comparing poetry schools from different languages and periods is some of the factors that hinder the modelling process. In this paper, we will present some of the challenges we encountered while conceptualizing the information relevant to poetic analysis and how we have worked around them. Some elements of the ontology will be presented to illustrate our modelling strategies.

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Towards Interoperability in the European Poetry Community: The Standardization of Philological Concepts

Cited by 6 publications

References 4 publications

Extraction of Poetic and Non-Poetic Relations From of-Prepositions Using WordNet

Extraction of Poetic and Non-Poetic Relations From of-Prepositions Using WordNet

Description of Postdata Poetry Ontology V1.0

Towards a common model for European poetry: Challenges and solutions

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