Foreword to the Special Issue: "Towards the Multilingual Web of Data"

We are pleased to introduce this special issue on the topic of “Towards theMultilingualWeb of Data”, which we feel is a timely and valuable topic in our increasingly multilingual and interconnected world. TheWeb of Data has increasingly become a space where concepts are described not only with logic and ontologies but also with linguistic information in the form of multilingual lexicons, terminologies and thesauri. In particular, this has led to the creation of a growing cloud of linguistic linked open data, which bridges the world of ontologies with dictionaries, corpora and other linguistic resources. This raises several challenges, such as ontology localization, cross-lingual question answering, cross-lingual ontology and data matching, representation of lexical information on theWeb of Data, etc. Furthermore, Natural Language Processing (NLP) and machine learning for linked data can benefit from exploiting multilingual language resources, such as annotated corpora, wordnets, bilingual dictionaries, etc., if they are themselves formally represented and linked by following the linked data principles. A critical mass of language resources as linked data on the Web are leading to a new generation of linked data-aware NLP techniques and tools which, in turn, will serve as basis for a richer, multilingualWeb..

Opening up traditional cultural knowledge by means of European infrastructures: the examples of exploreAT! & EGI Engage

The rapid development of new digital tools and infrastructures in recent years and their application to a variety of disciplines has transformed how we store, access and retrieve information available to us. This has also shaped the ways how knowledge in a diverse cultural context is presented, used and re-used. The exploreAT! project builds upon not only Austrian, but also European cultural identity from the aspect of language, in particular dialects. Unlike standard languages, dialects are in times of globalization under considerable threat of diminishing, and this ultimately poses a risk to the intangible record that is language and through which a history of tangible culture is expressed. In this paper we elaborate on the possibilities digital means and the infrastructure and services of the EGI-Engage project offer in revealing and giving access to unique traditional cultural knowledge contained in a non-standard language resource on the example of the Bavarian dialects in Austria (DBÖ). Digital tools and services allow our heterogeneous corpus of data to be virtually exploited and preserved. The flexibility of the internet allow these data to become not only visible, but searchable and extractable. Through the digitization efforts, and use of European infrastructures the hidden cultural narratives within the data can be uncovered, enriched and shared for the benefit of knowledge society

Alternative Education Center Teachers\u27 Experiences with Identifying Dyslexia Characteristics in Students: A Phenomenology

This phenomenological study explore the experiences of 10 participants teaching at a North Texas alternative education center, focusing on identifying dyslexia characteristics. The research is grounded in self-efficacy theory and phonological deficit theory, which both contribute to understanding lifelong effects of reading difficulties, particularly dyslexia. Self-efficacy theory emphasizes task-specific beliefs, while phonological deficit theory underscores the importance of accurate letter sound representation for a strong alphabetic foundation. Employing a phenomenological approach, the study gathers participants\u27 perceptions, employing a triangulation method for data collection through interviews, questionnaires, and document analysis. Data analysis followed Moustakas\u27 modification of the Van Kaam method to identify common experiences. These common experiences concluded to the participants uncertainty regarding how to effectively support dyslexic students; stating they often relied on the campus special education teachers for guidance due to their limited training on dyslexia. The study suggests a need for an in-depth examination of current state dyslexia policies and a review of dyslexia courses in university preservice programs to address the identified research challenges. This examination would lead to the enhancement of educator’s knowledge base of dyslexia identification issues in alternative education centers, offering valuable insights for future research and policymakers

Semantic modelling and publishing of traditional data collection questionnaires and answers

Extensive collections of data of linguistic, historical and socio-cultural importance are stored in libraries, museums and national archives with enormous potential to support research. However, a sizable portion of the data remains underutilised because of a lack of the required knowledge to model the data semantically and convert it into a format suitable for the semantic web. Although many institutions have produced digital versions of their collection, semantic enrichment, interlinking and exploration are still missing from digitised versions. In this paper, we present a model that provides structure and semantics to a non-standard linguistic and historical data collection on the example of the Bavarian dialects in Austria at the Austrian Academy of Sciences. We followed a semantic modelling approach that utilises the knowledge of domain experts and the corresponding schema produced during the data collection process. The model is used to enrich, interlink and publish the collection semantically. The dataset includes questionnaires and answers as well as supplementary information about the circumstances of the data collection (person, location, time, etc.). The semantic uplift is demonstrated by converting a subset of the collection to a Linked Open Data (LOD) format, where domain experts evaluated the model and the resulting dataset for its support of user queries