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ECAI 2006
In the summer of 1956, John McCarthy organized the famous Dartmouth Conference which is now commonly viewed as the founding event for the field of Artificial Intelligence. During the last 50 years, AI has seen a tremendous development and is now a well-established scientific discipline all over the world. Also in Europe AI is in excellent shape, as witnessed by the large number of high quality papers in this publication. In comparison with ECAI 2004, there’s a strong increase in the relative number of submissions from Distributed AI / Agents and Cognitive Modelling. Knowledge Representation & Reasoning is traditionally strong in Europe and remains the biggest area of ECAI-06. One reason the figures for Case-Based Reasoning are rather low is that much of the high quality work in this area has found its way into prestigious applications and is thus represented under the heading of PAIS.
Meaning in Translation
.".. collection of selected articles from the joint International Maastricht-odz Duo Colloquia on Translation and Meaning ..."--Introduction.
ON THE ARCHITECTURE OF WORDS. APPLICATIONS OF MEANING STUDIES
In light of today’s extensive use of digital communication, this volume focuses on how to understand and manage the various types of linguistically-based products that facilitate the use and extraction of information. Including conceptual and terminological databases, digital dictionaries, thesauri, language corpora, and ontologies, they all contribute to the development and improvement of language industries, such as those devoted to automatic translation, knowledge management, knowledge retrieval, linguistic data analysis, and so on. As the theoretical background underlying these applications is outlined in detail in the earlier chapters of the book, the reader is able to establish the n...
The Oxford Handbook of Computational Linguistics
Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
ECAI 2002
This volume contains the 137 papers accepted for presentation at the 15th European Conference on Artificial Intelligence (ECAI '02), which is organized by the European Co-ordination Committee on Artificial Intelligence.
Embodied Conceptualization or Neural Realization
This book focuses on linguistic synaesthesia in a hitherto less-studied language – Mandarin Chinese – and adopts a corpus-driven approach to support the analysis and argumentation. The study identifies directional tendencies and underlying mechanisms for Mandarin synaesthetic adjectives. By doing so, it not only provides an added layer of understanding for theories of linguistic synaesthesia, but also offers evidence to help refine previous theories, such as Embodiment Theory and Conceptual Metaphor Theory. In brief, the book makes a significant contribution to the development of Cognitive Linguistics. The intended readership includes, but is not limited to, graduate students in linguistics and researchers interested in Chinese linguistics in particular, and in lexical semantics and cognitive linguistics in general.
The Essentials of Knowledge Management
This book reviews the field of Knowledge Management, taking a holistic approach that includes both "soft" and "hard" aspects. It provides a broad perspective on the field, rather than one based on a single viewpoints from Computer Science or Organizational Learning, offering a comprehensive and integrated conception of Knowledge Management. The chapters represent the best Knowledge Management articles published in the 21st century in Knowledge Management Research & Practice and the European Journal of Information Systems, with contributors including Ikujiro Nonaka, Frada Burstein, and David Schwartz. Most of the chapters contribute significantly to practise as well as theory. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research topics. It brings together some of the best research papers from the highly respected journals of the Operational Research Society, also published by Palgrave Macmillan.
The Semantic Web: Semantics and Big Data
This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. The 42 revised full papers presented together with three invited talks were carefully reviewed and selected from 162 submissions. They are organized in tracks on ontologies; linked open data; semantic data management; mobile Web, sensors and semantic streams; reasoning; natural language processing and information retrieval; machine learning; social Web and Web science; cognition and semantic Web; and in-use and industrial tracks. The book also includes 17 PhD papers presented at the PhD Symposium.
Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges
The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the p...
