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Multi-Dimensional Summarization in Cyber-Physical Society /
Text summarization has been studied for over a half century, but traditional methods process texts empirically and neglect the fundamental characteristics and principles of language use and understanding. Automatic summarization is a desirable technique for processing big data. This reference summar...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier,
�2016.
�2016 |
| Colección: | Computer science reviews and trends.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 082 | 0 | 4 | |a 025.410285635 |
| 100 | 1 | |a Zhuge, Hai. | |
| 245 | 1 | 0 | |a Multi-Dimensional Summarization in Cyber-Physical Society / |c Hai Zhuge. |
| 260 | |a Amsterdam, Netherlands : |b Elsevier, |c �2016. | ||
| 264 | 4 | |c �2016 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Computer Science Reviews and Trends | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Multi-Dimensional Summarization in Cyber-Physical Society; Copyright Page; Dedication; Contents; About the Author; Foreword; Preface; Acknowledgment; 1 Introduction; 1.1 Open collaborative human summarization; 1.2 The necessity of automatic text summarization; 1.3 Practice in search engines; 1.4 Practice in e-science: summarizing multiple scientific papers through citation; 1.5 A multi-dimensional perspective of summarization literature; 1.6 Characteristics of text summarization; 1.7 Requirement from enterprise content computing and big data; 1.7.1 Enterprise content computing. | |
| 505 | 8 | |a 1.7.2 Big data1.8 Shifting paradigm; 2 The emerging structures; 2.1 Near decomposability; 2.2 Text as near decomposable system; 2.3 The near decomposability of memory; 2.4 The structure emerging through representing and understanding; 2.5 Principles for emerging sentences within text; 2.6 Rules for emerging structure within text; 2.7 Case study: summarizing text with emerging structure; 2.7.1 Iterative function; 2.7.2 Experiment; 2.7.3 Experiment result; 2.7.4 Discussion; 2.8 Emerging structure through dimensions; 2.9 Emerging from psychological dimension; 2.9.1 Assumptions of reading. | |
| 505 | 8 | |a 2.9.2 Interactive environment2.10 The cognitive level of current text summarization; 2.11 Semantic link; 2.11.1 Uncertainty on semantic link; 2.11.2 Bias on semantic link; 2.11.3 Separation of semantic link networks; 2.12 Summary; 3 Patterns in representation and understanding; 3.1 Patterns in text; 3.2 Pattern mappings; 3.3 Pattern-based summarization; 3.4 Incorporating locations into pattern; 3.5 From psychological dimension; 3.6 Implications; 4 The think lens; 4.1 The conceptual model; 4.2 The semantic images of words; 4.3 The principle of emerging semantic images. | |
| 505 | 8 | |a 5 Multi-dimensional methodology5.1 Dimension; 5.2 Category; 5.3 Dimension and space; 5.3.1 Basic concepts; 5.3.2 Interest space; 5.3.3 Applications; 5.4 Discovering dimensions; 5.4.1 Problem definition; 5.4.2 Category space; 5.4.3 Resource space; 5.4.4 Mutual-reference adaption; 5.4.5 Assumption; 5.4.6 Criteria; 5.4.7 Extending dimension; 5.4.8 Automatic construction; 5.4.9 Automatically uploading resources; 5.4.10 Discovering dimensions on the network of resources; 5.5 The space of methodologies; 5.6 Summary; 6 Characteristics and principles of understanding and representation. | |
| 505 | 8 | |a 6.1 The level of representation6.2 The core; 6.3 Characteristics, principles and strategies; 7 Implicit links in multi-dimensional space; 7.1 Implicit links; 7.2 Discovering implicit semantic links; 7.3 Observing from the psychological dimension; 7.4 Observing from the art dimension; 8 General citation; 8.1 A dual semantic link network; 8.2 Citation; 8.3 General citation; 8.4 Extension and intension; 8.5 Summarization as citation; 9 Dimensions of summary; 9.1 Dimension as computing; 9.2 The dimensions for structuring summary; 9.3 Summarization ondemand; 9.4 Forms. | |
| 504 | |a Includes bibliographical references. | ||
| 520 | |a Text summarization has been studied for over a half century, but traditional methods process texts empirically and neglect the fundamental characteristics and principles of language use and understanding. Automatic summarization is a desirable technique for processing big data. This reference summarizes previous text summarization approaches in a multi-dimensional category space, introduces a multi-dimensional methodology for research and development, unveils the basic characteristics and principles of language use and understanding, investigates some fundamental mechanisms of summarization, studies dimensions on representations, and proposes a multi-dimensional evaluation mechanism. Investigation extends to incorporating pictures into summary and to the summarization of videos, graphs and pictures, and converges to a general summarization method. Further, some basic behaviors of summarization are studied in the complex cyber-physical-social space. Finally, a creative summarization mechanism is proposed as an effort toward the creative summarization of things, which is an open process of interactions among physical objects, data, people, and systems in cyber-physical-social space through a multi-dimensional lens of semantic computing. The author's insights can inspire research and development of many computing areas. The first book that proposes the method for the summarization of things in cyber-physical society through a multi-dimensional lens of semantic computing. A transformation from the traditional application-driven research paradigm into a data-driven research paradigm for creative summarization through information modeling, cognitive modeling and knowledge modeling. A multi-dimensional methodology for studying, managing, creating and applying methods. | ||
| 650 | 0 | |a Automatic abstracting. | |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Natural Language Processing |0 (DNLM)D009323 | |
| 650 | 2 | |a Data Mining |0 (DNLM)D057225 | |
| 650 | 6 | |a R�esum�es automatiques. |0 (CaQQLa)201-0344832 | |
| 650 | 6 | |a Traitement automatique des langues naturelles. |0 (CaQQLa)201-0181184 | |
| 650 | 6 | |a Exploration de donn�ees (Informatique) |0 (CaQQLa)201-0300292 | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Library & Information Science |x General. |2 bisacsh | |
| 650 | 7 | |a Automatic abstracting |2 fast |0 (OCoLC)fst00822691 | |
| 776 | 0 | 8 | |i Print version: |a Zhuge, Hai. |t Multi-dimensional summarization in cyber-physical society. |d Amsterdam, [Netherlands] : Elsevier, �2016 |h xvi, 185 pages |k Computer science reviews and trends. |z 9780128034552 |
| 830 | 0 | |a Computer science reviews and trends. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128034552 |z Texto completo |