11 research outputs found

    When linguistics meets web technologies. Recent advances in modelling linguistic linked data

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    This article provides an up-to-date and comprehensive survey of models (including vocabularies, taxonomies and ontologies) used for representing linguistic linked data (LLD). It focuses on the latest developments in the area and both builds upon and complements previous works covering similar territory. The article begins with an overview of recent trends which have had an impact on linked data models and vocabularies, such as the growing influence of the FAIR guidelines, the funding of several major projects in which LLD is a key component, and the increasing importance of the relationship of the digital humanities with LLD. Next, we give an overview of some of the most well known vocabularies and models in LLD. After this we look at some of the latest developments in community standards and initiatives such as OntoLex-Lemon as well as recent work which has been in carried out in corpora and annotation and LLD including a discussion of the LLD metadata vocabularies META-SHARE and lime and language identifiers. In the following part of the paper we look at work which has been realised in a number of recent projects and which has a significant impact on LLD vocabularies and models

    Challenges for the representation of morphology in ontology lexicons

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    Recent years have experienced a growing trend in the publication of language resources as Linguistic Linked Data (LLD) to enhance their discovery, reuse and the interoperability of tools that consume language data. To this aim, the OntoLex-lemon model has emerged as a de facto standard to represent lexical data on the Web. However, traditional dictionaries contain a considerable amount of morphological information which is not straightforwardly representable as LLD within the current model. In order to fill this gap a new Morphology Module of OntoLex-lemon is currently being developed. This paper presents the results of this model as on-going work as well as the underlying challenges that emerged during the module development. Based on the MMoOn Core ontology, it aims to account for a wide range of morphological information, ranging from endings to derive whole paradigms to the decomposition and generation of lexical entries which is in compliance to other OntoLex-lemon modules and facilitates the encoding of complex morphological data in ontology lexicons

    Inducing the Cross-Disciplinary Usage of Morphological Language Data Through Semantic Modelling

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    Despite the enormous technological advancements in the area of data creation and management the vast majority of language data still exists as digital single-use artefacts that are inaccessible for further research efforts. At the same time the advent of digitisation in science increased the possibilities for knowledge acquisition through the computational application of linguistic information for various disciplines. The purpose of this thesis, therefore, is to create the preconditions that enable the cross-disciplinary usage of morphological language data as a sub-area of linguistic data in order to induce a shared reusability for every research area that relies on such data. This involves the provision of morphological data on the Web under an open license and needs to take the prevalent diversity of data compilation into account. Various representation standards emerged across single disciplines which lead to heterogeneous data that differs with regard to complexity, scope and data formats. This situation requires a unifying foundation enabling direct reusability. As a solution to fill the gap of missing open data and to overcome the presence of isolated datasets a semantic data modelling approach is applied. Being rooted in the Linked Open Data (LOD) paradigm it pursues the creation of data as uniquely identifiable resources that are realised as URIs, accessible on the Web, available under an open license, interlinked with other resources, and adhere to Linked Data representation standards such as the RDF format. Each resource then contributes to the LOD cloud in which they are all interconnected. This unification results from ontologically shared bases that formally define the classification of resources and their relation to other resources in a semantically interoperable manner. Subsequently, the possibility of creating semantically structured data has sparked the formation of the Linguistic Linked Open Data (LLOD) research community and LOD sub-cloud containing primarily language resources. Over the last decade, ontologies emerged mainly for the domain of lexical language data which lead to a significant increase in Linked Data-based linguistic datasets. However, an equivalent model for morphological data is still missing, leading to a lack of this type of language data within the LLOD cloud. This thesis presents six publications that are concerned with the peculiarities of morphological data and the exploration of their semantic representation as an enabler of cross-disciplinary reuse. The Multilingual Morpheme Ontology (MMoOn Core) as well as an architectural framework for morphemic dataset creation as RDF resources are proposed as the first comprehensive domain representation model adhering to the LOD paradigm. It will be shown that MMoOn Core permits the joint representation of heterogeneous data sources such as interlinear glossed texts, inflection tables, the outputs of morphological analysers, lists of morphemic glosses or word-formation rules which are all equally labelled as “morphological data” across different research areas. Evidence for the applicability and adequacy of the semantic modelling entailed by the MMoOn Core ontology is provided by two datasets that were transformed from tabular data into RDF: the Hebrew Morpheme Inventory and Xhosa RDF dataset. Both further demonstrate how their integration into the LLOD cloud - by interlinking them with external language resources - yields insights that could not be obtained from the initial source data. Altogether the research conducted in this thesis establishes the foundation for an interoperable data exchange and the enrichment of morphological language data. It strives to achieve the broader goal of advancing language data-driven research by overcoming data barriers and discipline boundaries

    Terminologie e vocabolari

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    The volume contains the works selected by the Scientific Committee of the Italian Association for Terminology (Ass.I.Term), presented at the 2019 Annual Conference, hosted at the Accademia della Crusca. Italian lexicography has long been influenced by the masterpieces of literature, especially the oldest, and it is therefore in this perspective that the volume, which shows the vitality of studies in terminology, is inscribed, proposing a reflection that touches on the comparison between terminology and lexicography, through which technology and science can show their positive function for the development and growth of the Italian language

    Terminologie e vocabolari : lessici specialistici e tesauri, glossari e dizionari

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    Il volume contiene i lavori selezionati dal Consiglio Scientifico dell’Associazione Italiana per la Terminologia (Ass.I.Term), presentati in occasione del Convegno annuale del 2019, ospitato presso l’Accademia della Crusca. La lessicografia italiana Ăš stata lungamente influenzata dai capolavori della letteratura, soprattutto da quella piĂč antica, ed Ăš pertanto in questo solco che il volume, il quale mostra la vitalitĂ  degli studi sulla terminologia, si iscrive, proponendo una riflessione che tocca il confronto tra terminologia e lessicografia, attraverso cui tecnica e scienza possono mostrare la loro funzione positiva per lo sviluppo e la crescita della lingua italiana

    Mental (Dis)Order in Later Medieval Europe

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    Mental (Dis)order in the Late Middle Ages sketches the boundaries between mental, social and physical order and various states of disorder – unexpected mood swings, fury, melancholy, stress, insomnia, and demonic influence – and focuses on the interaction between lay and elite cultures.; Readership: All those interested in medieval culture; the medical, religious, intellectual, social, and art history of late medieval Europe

    Mental (Dis)Order in Later Medieval Europe

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    Mental (Dis)order in the Late Middle Ages sketches the boundaries between mental, social and physical order and various states of disorder – unexpected mood swings, fury, melancholy, stress, insomnia, and demonic influence – and focuses on the interaction between lay and elite cultures.; Readership: All those interested in medieval culture; the medical, religious, intellectual, social, and art history of late medieval Europe

    AIUCD 2021 - Book of Extended Abstracts

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    Il decimo convegno annuale dell'Associazione per l’Informatica Umanistica e la Cultura Digitale ha nell’edizione 2021 un titolo peculiare e importante: "DH per la società: e-guaglianza, partecipazione, diritti e valori nell’era digitale". Questo volume raccoglie gli abstract estesi e sottoposti a review per la conferenza di AIUCD2021 tenutasi in forma virtuale a Pisa
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