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Abstract
Limited accessibility to language resources and technologies represents a challenge for the analysis, preservation, and documentation of natural languages other than English. Linguistic Linked (Open) Data (LLOD) holds the promise to ease the creation, linking, and reuse of multilingual linguistic data across distributed and heterogeneous resources. However, individual language resources and technologies accommodate or target different linguistic description levels, e.g., morphology, syntax, phonology, and pragmatics. In this comprehensive survey, the state-of-the-art of multilinguality and LLOD is being represented with a particular focus on linguistic description levels, identifying open challenges and gaps as well as proposing an ideal ecosystem for multilingual LLOD across description levels. This survey seeks to contribute an introductory text for newcomers to the field of multilingual LLOD, uncover gaps and challenges to be tackled by the LLOD community in reference to linguistic description levels, and present a solid basis for a future best practice of multilingual LLOD across description levels.

Abstract
Nowadays, the information regarding cosmetic products available to the community is vast, although not always trustworthy. The Pharmaceutical Technology Laboratory of the Faculty of Pharmacy of the University of Porto (FFUP) launched the Portal infoCosméticos aiming to provide professionals involved in cosmetic advice with reliable information, supported by up-to-date scientific evidence, while empowering Portuguese-speaking consumers to make better informed choices. Pre and post-graduates of the master's degree in Pharmaceutical Sciences are responsible for developing contents, which are submitted to a linguistic review by students of the Faculty of Arts and Humanities. Firstly, a relevant question is identified, following a comprehensive search on the topic and the creation of an infographic. The scientific validation is carried out by national and international scholars, and the national regulatory authority, INFARMED. Since it was released in 2017, the website has hit more than 170,000 visualizations, covering topics related to regulatory affairs, safety and efficacy, cosmetic ingredients and cosmetic products. The most accessed topics by digital users were disclosed by monitoring the visualizations of each question with Google Analytics, considering the publication date. According to the records, consumers seem to be more concerned about the safety of cosmetics and interested to know more about their composition.

Abstract
Linguistic Linked Open Data (LLOD) are technologies that provide a powerful instrument for representing and interpreting language phenomena on a web-scale. The main objective of this paper is to demonstrate how LLOD technologies can be applied to represent and annotate a corpus composed of multiword discourse markers, and what the effects of this are. In particular, it is our aim to apply semantic web standards such as RDF and OWL for publishing and integrating data. We present a novel scheme for discourse annotation that combines ISO standards describing discourse relations and dialogue acts - ISO DR-Core (ISO 24617-8) and ISO-Dialogue Acts (ISO 24617-2) in 9 languages (cf. Silvano and Damova 2022; Silvano et al. 2022). We develop an OWL ontology to formalize that scheme, provide a newly annotated dataset and link its RDF edition with the ontology. Consequently, we describe the conjoint querying of the ontology and the annotations by means of SPARQL, the standard query language for the web of data. The ultimate result is that we are able to perform queries over multiple, interlinked datasets with complex internal structure. This is a first, but essential step, in developing novel, powerful, and groundbreaking means for the corpus-based study of multilingual discourse, communication analysis, or attitudes discovery.