Mathematical Linguistics

Author: Andras Kornai

Publisher: Springer Science & Business Media

ISBN: 1846289858

Category: Mathematics

Page: 290

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Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed. As the first textbook of its kind, this book is useful for those in information science and in natural language technologies.
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Interpreted Languages and Compositionality

Author: Marcus Kracht

Publisher: Springer Science & Business Media

ISBN: 9789400721081

Category: Language Arts & Disciplines

Page: 214

View: 2475

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This book argues that languages are composed of sets of ‘signs’, rather than ‘strings’. This notion, first posited by de Saussure in the early 20th century, has for decades been neglected by linguists, particularly following Chomsky’s heavy critiques of the 1950s. Yet since the emergence of formal semantics in the 1970s, the issue of compositionality has gained traction in the theoretical debate, becoming a selling point for linguistic theories. Yet the concept of ‘compositionality’ itself remains ill-defined, an issue this book addresses. Positioning compositionality as a cornerstone in linguistic theory, it argues that, contrary to widely held beliefs, there exist non-compositional languages, which shows that the concept of compositionality has empirical content. The author asserts that the existence of syntactic structure can flow from the fact that a compositional grammar cannot be delivered without prior agreement on the syntactic structure of the constituents.
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Information and Communication Technology

Second IFIP TC 5/8 International Conference, ICT-EurAsia 2014, Bali, Indonesia, April 14-17, 2014, Proceedings

Author: Linawati,Made Sudiana Mahendra,Erich J. Neuhold,A Min Tjoa,Ilsun You

Publisher: Springer

ISBN: 3642550320

Category: Computers

Page: 699

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This book constitutes the refereed proceedings of the Second IFIP TC 5/8 International Conference on Information and Communication Technology, ICT-Eur Asia 2014, with the collocation of Asia ARES 2014 as a special track on Availability, Reliability and Security, held in Bali, Indonesia, in April 2014. The 70 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers have been organized in the following topical sections: applied modeling and simulation; mobile computing; advanced urban-scale ICT applications; semantic web and knowledge management; cloud computing; image processing; software engineering; collaboration technologies and systems; e-learning; data warehousing and data mining; e-government and e-health; biometric and bioinformatics systems; network security; dependable systems and applications; privacy and trust management; cryptography; multimedia security and dependable systems and applications.
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Secure Information Management Using Linguistic Threshold Approach

Author: Marek R. Ogiela,Urszula Ogiela

Publisher: Springer Science & Business Media

ISBN: 1447150163

Category: Computers

Page: 136

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In recent years, cryptographic techniques for protecting and hiding secret information have been included in directions of research on intelligent information management. Data can be managed securely due to the use of algorithms for ensuring the confidentiality of data, information splitting techniques as well as protocols for sharing information and methods of its reconstruction. This is why techniques of advanced splitting and reconstruction of information form the primary subject of Secure Information Management Using Linguistic Threshold Approach, whose main purpose is to discuss the so-called linguistic threshold schemes for information sharing. An attempt is also made to describe the opportunities of using these techniques to create new models of managing strategic information shared within a commercial organisation or a state institution. Such information is specially protected, and its contents are used only if the authorised users are enabled to access it. This monograph attempts to define a model structure of information flow and for assigning information shares to particular groups of individuals concerned. The proposed information flow model can be integrated into practical solutions within any organisation or institution, improving the functionality of its legacy information systems. The use of strong mathematical cryptographic models to manage information constitutes a scientific innovation and a demonstration of the methods and opportunities of using advanced techniques for confidentially exchanging information in tasks supporting data flow within a commercial organisation. The interdisciplinary nature of the solutions proposed means that the subject of linguistic threshold schemes forming part of intelligent information management becomes a new challenge for the research and application work carried out. The authors of this monograph hope that it will guide readers on an interesting journey through the cutting edge solution in the field of secure information management.
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Intelligent Information Processing and Web Mining

Proceedings of the International IIS: IIPWM ́06 Conference held in Ustron, Poland, June 19-22, 2006

Author: Mieczyslaw A. Klopotek,Slawomir T. Wierzchon,Krzysztof Trojanowski

Publisher: Springer Science & Business Media

ISBN: 3540335218

Category: Computers

Page: 542

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This volume contains selected papers, presented at the international conference on Intelligent Information Processing and Web Mining Conference IIS:IIPWM'06, organized in Ustro (Poland), 2006. The submitted papers cover new computing paradigms, among others in biologically motivated methods, advanced data analysis, new machine learning paradigms, natural language processing, new optimization technologies, applied data mining using statistical and non-standard approaches.
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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Author: James C. Bezdek,James Keller,Raghu Krisnapuram,Nikhil Pal

Publisher: Springer Science & Business Media

ISBN: 9780792385219

Category: Computers

Page: 776

View: 9210

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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
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Classification and Modeling with Linguistic Information Granules

Advanced Approaches to Linguistic Data Mining

Author: Hisao Ishibuchi,Tomoharu Nakashima,Manabu Nii

Publisher: Springer Science & Business Media

ISBN: 3540268758

Category: Language Arts & Disciplines

Page: 308

View: 6748

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Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.
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Militarized Conflict Modeling Using Computational Intelligence

Author: Tshilidzi Marwala,Monica Lagazio

Publisher: Springer Science & Business Media

ISBN: 9780857297907

Category: Computers

Page: 254

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Militarized Conflict Modeling Using Computational Intelligence examines the application of computational intelligence methods to model conflict. Traditionally, conflict has been modeled using game theory. The inherent limitation of game theory when dealing with more than three players in a game is the main motivation for the application of computational intelligence in modeling conflict. Militarized interstate disputes (MIDs) are defined as a set of interactions between, or among, states that can result in the display, threat or actual use of military force in an explicit way. These interactions can result in either peace or conflict. This book models the relationship between key variables and the risk of conflict between two countries. The variables include Allies which measures the presence or absence of military alliance, Contiguity which measures whether the countries share a common boundary or not and Major Power which measures whether either or both states are a major power. Militarized Conflict Modeling Using Computational Intelligence implements various multi-layer perception neural networks, Bayesian networks, support vector machines, neuro-fuzzy models, rough sets models, neuro-rough sets models and optimized rough sets models to create models that estimate the risk of conflict given the variables. Secondly, these models are used to study the sensitivity of each variable to conflict. Furthermore, a framework on how these models can be used to control the possibility of peace is proposed. Finally, new and emerging topics on modelling conflict are identified and further work is proposed.
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Representation and Management of Narrative Information

Theoretical Principles and Implementation

Author: Gian Piero Zarri

Publisher: Springer Science & Business Media

ISBN: 9781848000780

Category: Business & Economics

Page: 302

View: 2363

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A big amount of important, ‘economically relevant’ information, is buried within the huge mass of multimedia documents that correspond to some form of ‘narrative’ description. Due to the ubiquity of these ‘narrative’ resources, being able to represent in a general, accurate, and effective way their semantic content – i.e., their key ‘meaning’ – is then both conceptually relevant and economically important. In this book, we present the main properties of NKRL (‘Narrative Knowledge Representation Language’), a language expressly designed for representing, in a standardised way, the ‘meaning’ of complex multimedia narrative documents. NKRL is a fully implemented language/environment. The software exists in two versions, an ORACLE-supported version and a file-oriented one. Written from a multidisciplinary perspective, this exhaustive description of NKRL and of the associated knowledge representation principles will be an invaluable source of reference for practitioners, researchers, and graduates.
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