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This book constitutes the proceedings of the First International Conference on Language, Data and Knowledge, LDK 2017, held in Galway, Ireland, in June 2017. The 14 full papers and 19 short papers included in this volume were carefully reviewed and selected from 68 initial submissions. They deal with language data; knowledge graphs; applications in NLP; and use cases in digital humanities, social sciences, and BioNLP.
The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity. These resources become even more useful when interlinked with each other to generate network effects. The general trend of providing data online is thus accompanied by newly developing methodologies to interconnect linguistic data and metadata. This includes linguistic data collections, general-purpose knowledge bases (e.g., the DBpedia, a machine-readable edition of the Wikipedia), and repositories with specific information about languages, linguistic categories and phenomena. The Linked Data paradigm provides a framework for interoperability and access management, and thereby allows to integrate information from such a diverse set of resources. The contributions assembled in this volume illustrate the band-width of applications of the Linked Data paradigm for representative types of language resources. They cover lexical-semantic resources, annotated corpora, typological databases as well as terminology and metadata repositories. The book includes representative applications from diverse fields, ranging from academic linguistics (e.g., typology and corpus linguistics) over applied linguistics (e.g., lexicography and translation studies) to technical applications (in computational linguistics, Natural Language Processing and information technology). This volume accompanies the Workshop on Linked Data in Linguistics 2012 (LDL-2012) in Frankfurt/M., Germany, organized by the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN). It assembles contributions of the workshop participants and, beyond this, it summarizes initial steps in the formation of a Linked Open Data cloud of linguistic resources, the Linguistic Linked Open Data cloud (LLOD).
This volume presents the proceedings of the 4th Conference on Language, Data and Knowledge held in Vienna, Austria, from 12-15 September 2023. Language, Data and Knowledge (LDK) is a biennial conference series on matters of human language technology, data science, and knowledge representation. This fourth edition of the LDK conference is hosted by the University of Vienna in Vienna, Austria. Significant support was provided by the NexusLinguarum COST Action CA18209, “European network for Web-centred linguistic data science”, and by the following sponsors: the Coreon team and the Vienna Convention Bureau, as a department of the Vienna Tourist Board.
The study of language has changed substantially in the last decades. In particular, the development of new technologies has allowed the emergence of new experimental techniques which complement more traditional approaches to data in linguistics (like informal reports of native speakers’ judgments, surveys, corpus studies, or fieldwork). This move is an enriching feature of contemporary linguistics, allowing for a better understanding of a phenomenon as complex as natural language, where all sorts of factors (internal and external to the individual) interact (Chomsky 2005). This has generated some sort of divergence not only in research approaches, but also in the phenomena studied, with an increasing specialization between subfields and accounts. At the same time, it has also led to subfield isolation and methodological a priori, with some researchers even claiming that theoretical linguistics has little to offer to cognitive science (see for instance Edelman & Christiansen 2003). We believe that this view of linguistics (and cognitive science as a whole) is misguided, and that the complementarity of different approaches to such a multidimensional phenomenon as language should be highlighted for convergence and further development of its scientific study (see also Jackendoff 1988, 2007; Phillips & Lasnik 2003; den Dikken, Bernstein, Tortora & Zanuttini 2007; Sprouse, Schütze & Almeida 2013; Phillips 2013).
Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the pres- vation of cultural achievements and their transmission from one generation to the other. During the last few decades, the ?ood of digitalized information has been growing tremendously. This tendency will continue with the globali- tion of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical und- standing and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this c- text, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the g- eration of natural language expressions from formal representations. This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.
About Business Knowledge Blueprints ...Learn the art and science of - Building robust business vocabularies- Disambiguating business communication- Designing data based on languageIf you want to share and re-use data, the problem is communication, not technology. Concept models are the most important innovation this century. Create the new Knowledge Commons for your business! Bring people together for Knowledge-Age success. This book is for governance, risk and compliance managers, regulators and policy makers, legal staff, knowledge managers, product designers, and training managers - and the analysts, architects, data scientists, and software professionals who support business transformations.
Black, Indigenous, and Peoples of Color--reimagine library and information science through the lens of critical race theory. In Knowledge Justice, Black, Indigenous, and Peoples of Color scholars use critical race theory (CRT) to challenge the foundational principles, values, and assumptions of Library and Information Science and Studies (LIS) in the United States. They propel CRT to center stage in LIS, to push the profession to understand and reckon with how white supremacy affects practices, services, curriculum, spaces, and policies.
What exactly is meant by the term 'knowledge'? What are the different kinds of knowledge? How might this be shared in a dialogue between two interlocutors, within a shared common ground, in the realization of successful speech acts? This volume investigates the nature of language, culture, knowledge, and context, and their interrelationships. Each of these is defined - in terms of their relationship to language in particular, and to identify their respective properties. Cultural and other knowledge is also found within the linguistic landscape and the artifacts within our environment. The book explores the ways that language is central to expressions of knowledge and culture. It draws a comprehensive and representative picture of the dimensions of meaning, emerging from the interrelationship between these domains of language, culture, knowledge, and context.
Linguistics investigates the systems underlying language, speech, and language use. Linguists seek to develop an understanding of the rules and laws that govern the structure and use of particular languages and the manner in which these interact with internal systems and processes (interpretation, speech perception, and production) and with the outside world (acquisition, use, change and role in society). The articles in this volume present a valuable addition to answering three important questions about knowledge in linguistics: What is knowledge in linguistics, how is it acquired, and how is it put to use? Apart from the data on the specific phenomena addressed in the articles, the book presents insight into the palette of present-day linguistics. In this way, it aims to break open the division of linguistics into subfields thereby making possible cross-fertilisation.
This is the first monograph on the emerging area of linguistic linked data. Presenting a combination of background information on linguistic linked data and concrete implementation advice, it introduces and discusses the main benefits of applying linked data (LD) principles to the representation and publication of linguistic resources, arguing that LD does not look at a single resource in isolation but seeks to create a large network of resources that can be used together and uniformly, and so making more of the single resource. The book describes how the LD principles can be applied to modelling language resources. The first part provides the foundation for understanding the remainder of the book, introducing the data models, ontology and query languages used as the basis of the Semantic Web and LD and offering a more detailed overview of the Linguistic Linked Data Cloud. The second part of the book focuses on modelling language resources using LD principles, describing how to model lexical resources using Ontolex-lemon, the lexicon model for ontologies, and how to annotate and address elements of text represented in RDF. It also demonstrates how to model annotations, and how to capture the metadata of language resources. Further, it includes a chapter on representing linguistic categories. In the third part of the book, the authors describe how language resources can be transformed into LD and how links can be inferred and added to the data to increase connectivity and linking between different datasets. They also discuss using LD resources for natural language processing. The last part describes concrete applications of the technologies: representing and linking multilingual wordnets, applications in digital humanities and the discovery of language resources. Given its scope, the book is relevant for researchers and graduate students interested in topics at the crossroads of natural language processing / computational linguistics and the Semantic Web / linked data. It appeals to Semantic Web experts who are not proficient in applying the Semantic Web and LD principles to linguistic data, as well as to computational linguists who are used to working with lexical and linguistic resources wanting to learn about a new paradigm for modelling, publishing and exploiting linguistic resources.