Explorations in Automatic Thesaurus Discovery presents an automated method for creating a first-draft thesaurus from raw text. It describes natural processing steps of tokenization, surface syntactic analysis, and syntactic attribute extraction. From these attributes, word and term similarity is calculated and a thesaurus is created showing important common terms and their relation to each other, common verb--noun pairings, common expressions, and word family members. The techniques are tested on twenty different corpora ranging from baseball newsgroups, assassination archives, medical X-ray reports, abstracts on AIDS, to encyclopedia articles on animals, even on the text of the book itself. The corpora range from 40,000 to 6 million characters of text, and results are presented for each in the Appendix. The methods described in the book have undergone extensive evaluation. Their time and space complexity are shown to be modest. The results are shown to converge to a stable state as the corpus grows. The similarities calculated are compared to those produced by psychological testing. A method of evaluation using Artificial Synonyms is tested. Gold Standards evaluation show that techniques significantly outperform non-linguistic-based techniques for the most important words in corpora. Explorations in Automatic Thesaurus Discovery includes applications to the fields of information retrieval using established testbeds, existing thesaural enrichment, semantic analysis. Also included are applications showing how to create, implement, and test a first-draft thesaurus.
We are poised at a major turning point in the history of information management via computers. Recent evolutions in computing, communications, and commerce are fundamentally reshaping the ways in which we humans interact with information, and generating enormous volumes of electronic data along the way. As a result of these forces, what will data management technologies, and their supporting software and system architectures, look like in ten years? It is difficult to say, but we can see the future taking shape now in a new generation of information access platforms that combine strategies and structures of two familiar -- and previously quite distinct -- technologies, search engines and databases, and in a new model for software applications, the Search-Based Application (SBA), which offers a pragmatic way to solve both well-known and emerging information management challenges as of now. Search engines are the world's most familiar and widely deployed information access tool, used by hundreds of millions of people every day to locate information on the Web, but few are aware they can now also be used to provide precise, multidimensional information access and analysis that is hard to distinguish from current database applications, yet endowed with the usability and massive scalability of Web search. In this book, we hope to introduce Search Based Applications to a wider audience, using real case studies to show how this flexible technology can be used to intelligently aggregate large volumes of unstructured data (like Web pages) and structured data (like database content), and to make that data available in a highly contextual, quasi real-time manner to a wide base of users for a varied range of purposes. We also hope to shed light on the general convergences underway in search and database disciplines, convergences that make SBAs possible, and which serve as harbingers of information management paradigms and technologies to come. Table of Contents: Search Based Applications / Evolving Business Information Access Needs / Origins and Histories / Data Models and Storage / Data Collection/Population / Data Processing / Data Retrieval / Data Security, Usability, Performance, Cost / Summary Evolutions and Convergences / SBA Platforms / SBA Uses and Preconditions / Anatomy of a Search Based Application / Case Study: GEFCO / Case Study: Urbanizer / Case Study: National Postal Agency / Future Directions
What is text mining, and how can it be used? What relevance do these methods have to everyday work in information science and the digital humanities? How does one develop competences in text mining? Working with Text provides a series of cross-disciplinary perspectives on text mining and its applications. As text mining raises legal and ethical issues, the legal background of text mining and the responsibilities of the engineer are discussed in this book. Chapters provide an introduction to the use of the popular GATE text mining package with data drawn from social media, the use of text mining to support semantic search, the development of an authority system to support content tagging, and recent techniques in automatic language evaluation. Focused studies describe text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature. Interviews are included that offer a glimpse into the real-life experience of working within commercial and academic text mining. - Introduces text analysis and text mining tools - Provides a comprehensive overview of costs and benefits - Introduces the topic, making it accessible to a general audience in a variety of fields, including examples from biology, chemistry, sociology, and criminology
Dictionaries are among the most frequently consulted books, yet we know remarkably little about them. Who makes them? Where do they come from? What do they offer? How can we evaluate them? The Dictionary of Lexicography provides answers to all these questions and addresses a wide range of issues: * the traditions of dictionary-making * the different types of dictionaries and other reference works (such as thesaurus, encyclopedia, atlas and telephone directory) * the principles and concerns of lexicographers and other reference professionals * the standards of dictionary criticism and dictionary use. It is both a professional handbook and an easy-to-use reference work. This is the first time that the subject has been covered in such a comprehensive manner in the form of a reference book. All articles are self-contained, cross-referenced and uniformly structured. The whole is an up-to-date and forward-looking survey of lexicography.
The revolution in social scientific theory and practice known as nonlinear dynamics, chaos, or complexity, derived from recent advances in the physical, biological, and cognitive sciences, is now culminating with the widespread use of tools and concepts such as praxis, fuzzy logic, artificial intelligence, and parallel processing. By tracing a number of conceptual threads from mathematics, economics, cybernetics, and various other applied systems theoretics, this book offers a historical framework for how these ideas are transforming the social sciences. Daneke goes on to address a variety of persistent philosophical issues surrounding this paradigm shift, ranging from the nature of human rationality to free will. Finally, he describes this shift as a path for revitalizing the social sciences just when they will be most needed to address the human condition in the new millennium. Systemic Choices describes how praxis and other complex systems tools can be applied to a number of pressing policy and management problems. For example, simulations can be used to grow a number of robust hybrid industrial and/or technological strategies between cooperation and competition. Likewise, elements of international agreements could be tested for sustainability under adaptively evolving institutional designs. Other concrete applications include strategic management, total quality management, and operational analyses. This exploration of a wide range of technical tools and concepts will interest economists, political scientists, sociologists, psychologists, and those in the management disciplines such as strategy, organizational behavior, finance, and operations. Gregory A. Daneke is Professor of Technology Management, Arizona State University, and of Human and Organization Development, The Fielding Institute.
Almost all pathologists face legal issues when dealing with the specimens they work with on a day-to-day basis, whether it involves quality control and assurance in handling the specimens, facing the possibility of malpractice suits, or serving as an expert witness in a trial. Written in an easy to read, conversational tone, with a dose of good humor, this book fills the need for a handbook that discusses the full spectrum of legal issues that many pathologists face, written from a pathologist's point of view. Organized in 12 user-friendly chapters, the book begins with a comparison of Law and Medicine and explains the basics of the American Legal System. It continues with discussions of the impact of law on the practice of pathology, including such topics as specimens with potential legal implications, the controversy of saving organs for teaching, procuring and saving specimens for toxicology testing and DNA confirmation in identity testing. A must-have section on malpractice suits covers reasons why patients sue, what to do if sued, and reducing the chance of being sued. The author addresses expert witness testimony, including how to be an expert witness, conflicts of interest, conduct in a courtroom, what to say and what not to say. Quality control and assurance as it applies to the pathologist is also discussed. Legal implications for the information age, including the use of internet and e-mail with regard to patient confidentiality is discussed in detail. Case samples are scattered throughout the text to illustrate the principles discussed. Every term is defined in the glossary.
Communicate Science Papers, Presentations, and Posters Effectively is a guidebook on science writing and communication that professors, students, and professionals in the STEM fields can use in a practical way. This book advocates a clear and concise writing and presenting style, enabling users to concentrate on content. The text is useful to both native and non-native English speakers. The book includes chapters on the publishing industry (discussing bibliometrics, h-indexes, and citations), plagiarism, and how to report data properly. It also offers practical guidance for writing equations and provides the reader with extensive practice material consisting of both exercises and solutions. - Covers how to accurately and clearly exhibit results, ideas, and conclusions - Identifies phrases common in scientific literature that should never be used - Discusses the theory of presentation, including "before and after examples highlighting best practices - Provides concrete, step-by-step examples on how to make camera ready graphs and tables
Explorations in Automatic Thesaurus Discovery presents an automated method for creating a first-draft thesaurus from raw text. It describes natural processing steps of tokenization, surface syntactic analysis, and syntactic attribute extraction. From these attributes, word and term similarity is calculated and a thesaurus is created showing important common terms and their relation to each other, common verb--noun pairings, common expressions, and word family members. The techniques are tested on twenty different corpora ranging from baseball newsgroups, assassination archives, medical X-ray reports, abstracts on AIDS, to encyclopedia articles on animals, even on the text of the book itself. The corpora range from 40,000 to 6 million characters of text, and results are presented for each in the Appendix. The methods described in the book have undergone extensive evaluation. Their time and space complexity are shown to be modest. The results are shown to converge to a stable state as the corpus grows. The similarities calculated are compared to those produced by psychological testing. A method of evaluation using Artificial Synonyms is tested. Gold Standards evaluation show that techniques significantly outperform non-linguistic-based techniques for the most important words in corpora. Explorations in Automatic Thesaurus Discovery includes applications to the fields of information retrieval using established testbeds, existing thesaural enrichment, semantic analysis. Also included are applications showing how to create, implement, and test a first-draft thesaurus.
We are poised at a major turning point in the history of information management via computers. Recent evolutions in computing, communications, and commerce are fundamentally reshaping the ways in which we humans interact with information, and generating enormous volumes of electronic data along the way. As a result of these forces, what will data management technologies, and their supporting software and system architectures, look like in ten years? It is difficult to say, but we can see the future taking shape now in a new generation of information access platforms that combine strategies and structures of two familiar -- and previously quite distinct -- technologies, search engines and databases, and in a new model for software applications, the Search-Based Application (SBA), which offers a pragmatic way to solve both well-known and emerging information management challenges as of now. Search engines are the world's most familiar and widely deployed information access tool, used by hundreds of millions of people every day to locate information on the Web, but few are aware they can now also be used to provide precise, multidimensional information access and analysis that is hard to distinguish from current database applications, yet endowed with the usability and massive scalability of Web search. In this book, we hope to introduce Search Based Applications to a wider audience, using real case studies to show how this flexible technology can be used to intelligently aggregate large volumes of unstructured data (like Web pages) and structured data (like database content), and to make that data available in a highly contextual, quasi real-time manner to a wide base of users for a varied range of purposes. We also hope to shed light on the general convergences underway in search and database disciplines, convergences that make SBAs possible, and which serve as harbingers of information management paradigms and technologies to come. Table of Contents: Search Based Applications / Evolving Business Information Access Needs / Origins and Histories / Data Models and Storage / Data Collection/Population / Data Processing / Data Retrieval / Data Security, Usability, Performance, Cost / Summary Evolutions and Convergences / SBA Platforms / SBA Uses and Preconditions / Anatomy of a Search Based Application / Case Study: GEFCO / Case Study: Urbanizer / Case Study: National Postal Agency / Future Directions
This gripping account of William Gregory Smith aka Cyril Johnson is indicative of twenty-five years of deception, abuse of power and character assassination by the Working People Alliance (WPA). This brutally honest book exposes the WPA in the web of Lies and Betrayal. My brother, William Gregory Smith, did not seek out Dr. Walter Rodney and the WPA. They sought him for his brilliance in the field of electronics. The resulting alliance led to the loss of a brilliant mind and son of Guyana. It will become quite clear after reading this account, that once can safely conclude that history, as we know it, is not always accurate.
Presents "True Confessions (Global Warming-Style)," written for a 1997 edition of "Science" magazine and published online by Steven J. Milloy. Argues against an international treaty to reduce greenhouse gas emissions. The article is presented as part of junkscience.com, a compilation of articles and other publications dealing with junk science, which is defined as "faulty scientific data and analysis used to used to further a special agenda.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.