Recent developments for the linguistic linked open data infrastructure

In this paper we describe the contributions made by the European H2020 project “Pret-a-LLOD” (‘Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors’) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure. Pret-a-LLOD aims to develop a new methodology for building data value chains applicable to a wide range of sectors and applications and based around language resources and language technologies that can be integrated by means of semantic technologies. We describe the methods implemented for increasing the number of language data sets in the LLOD. We also present the approach for ensuring interoperability and for porting LLOD data sets and services to other infrastructures, as well as the contribution of the projects to existing standards

The Parla-CLARIN Recommendations for Encoding Corpora of Parliamentary Proceedings

Parliamentary proceedings are a rich source of data that can be used by scholars in various humanities and social sciences disciplines. Unlike the sources of most other language corpora, parliamentary proceedings are not subject to copyright or personal privacy protections, and are typically available online, thus making them ideal for compilation into corpora and for open distribution. For these reasons many countries have already produced corpora of parliamentary proceedings, but each typically in their own encoding, limiting their comparability and utilization in a multilingual setting. In this paper we propose an encoding schema which could serve as an interchange format for parliamentary corpora compiled for the purposes of scholarly investigations. The schema, called Parla-CLARIN, was developed within the CLARIN research infrastructure, and is written as a TEI ODD which includes a TEI customization and prose guidelines with examples of use. We discuss the coverage and choices made in designing the recommendations, and give an overview of the guidelines. We also discuss two other standard schemas for encoding parliamentary data, Akoma Ntoso and RDF, and their relation to Parla-CLARIN. We conclude by presenting corpora already encoded in Parla-CLARIN and discussing further work, especially the provision of a set of example documents and of transformation scripts that would make the proposed encoding more usable

Linked Open Data: State-of-the-Art Mechanisms and Conceptual Framework

Today, one of the state-of-the-art technologies that have shown its importance towards data integration and analysis is the linked open data (LOD) systems or applications. LOD constitute of machine-readable resources or mechanisms that are useful in describing data properties. However, one of the issues with the existing systems or data models is the need for not just representing the derived information (data) in formats that can be easily understood by humans, but also creating systems that are able to process the information that they contain or support. Technically, the main mechanisms for developing the data or information processing systems are the aspects of aggregating or computing the metadata descriptions for the various process elements. This is due to the fact that there has been more than ever an increasing need for a more generalized and standard definition of data (or information) to create systems capable of providing understandable formats for the different data types and sources. To this effect, this chapter proposes a semantic-based linked open data framework (SBLODF) that integrates the different elements (entities) within information systems or models with semantics (metadata descriptions) to produce explicit and implicit information based on users’ search or queries. In essence, this work introduces a machine-readable and machine-understandable system that proves to be useful for encoding knowledge about different process domains, as well as provides the discovered information (knowledge) at a more conceptual level