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Standards function as safeguards to ensure that data remains interpretable, uniformly queryable, and archivable over time – a critical challenge for digital humanists working with complex linguistic resources. This book provides an overview of essential standards for ensuring the sustainability of data in the Digital Humanities (DH). It addresses the selection of data encoding formats, methods of annotating primary data, and approaches to making resources findable and accessible. The focus is on various forms of linguistic data, such as texts, lexicons, or parallel arrangements (e.g., translations or transcribed recordings). The work explains the role of annotations and metadata in structu...
The geosciences are one of the fields leading the way in advancing semantic technologies. This book continues the dialogue and feedback between the geoscience and semantic web communities. Increasing data volumes within the geosciences makes it no longer practical to copy data and perform local analysis. Hypotheses are now being tested through online tools that combine and mine pools of data. This evolution in the way research is conducted is commonly referred to as e-Science. As e-Science has flourished, the barriers to free and open access to data have been lowered and the need for semantics has been heighted. As the volume, complexity, and heterogeneity of data resources grow, geoscientis...
This open access book constitutes the refereed proceedings of the 16th International Conference on Semantic Systems, SEMANTiCS 2020, held in Amsterdam, The Netherlands, in September 2020. The conference was held virtually due to the COVID-19 pandemic.
This book represents the first comprehensive examination of templatic constructions - namely, linguistic structures involving unexpected linear stipulation - in both morphology and syntax from a typological perspective. It provides a state-of-the-art overview of the previous literature, develops a new typology for categorizing templatic constructions across grammatical domains, and examines their cross-linguistic variation by employing cutting-edge computational methods. It will be of interest to descriptive linguists seeking to gain a better sense of the diversity of the world's templatic constructions, theoretical linguists developing restrictive models of possible templates, and typologists interested in the attested range of patterns of linear stipulation and the application of new kinds of multivariate methods to cross-linguistic data. The new typological framework is illustrated in detail via a number of case studies involving languages of Africa, Europe, Asia, and the Americas, and numerous other templatic constructions are also considered over the course of the book.
As a core component of legal language used to draft, enforce and practice law, legal terms have fascinated lawyers, linguists, terminologists and other scholars for centuries. Third in the series, this Handbook offers a comprehensive compendium of the current state of knowledge on legal terminology. It is the first attempt to bring together perspectives from the domains of Terminology, Translation Studies, Linguistics, Law and Information Technology in a single place. This interdisciplinary endeavour comprises systematic reviews, case studies and research papers which overview key properties of legal terms and concepts, terminological tools and resources, training aspects, as well as translation in national contexts and multilingual organizations. The Handbook attests to the complex multifaceted nature of legal terminology and showcases its cultural, communicative, cognitive and social contexts in diverse legal systems. It is a rich resource for scholars, practitioners, trainers and students, presenting vibrant research and practice in this area.
Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.
When your patrons ask for published immigration, passenger and naturalization records of individuals who came to the U.S. and Canada between the 16th and mid-20th centuries, direct them to this comprehensive resource. Here they'll find everything needed for fruitful genealogical research.Main entries in Passenger and Immigration Lists Index provide information such as name and age of immigrant; year and place of arrival, naturalization, or other record which indicates person indexed is an immigrant; code indicating the source indexed and the page number in the source which contains the record; and the names of all listed family members together with their age and relationship to the main entry. In addition, it provides cross references for every accompanying passenger to main entry.Thirty annual supplements (published 1982-2005) have increased the number of citations to more than four million names indexed. A bibliography of sources indexed appears in each volume.
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