Search (10 results, page 1 of 1)

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LCSH

Text processing (Computer science)

Subject

Text processing (Computer science)

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Abstract

An ontology is a knowledge representation structure made up of concepts and their interrelations. It represents shared understanding delineated by some domain. The building of an ontology can be addressed from the perspective of natural language processing. This thesis discusses the validity and theoretical background of knowledge acquisition from natural language. It also presents the theoretical and experimental framework for NLP-driven ontology building and evaluation tasks.

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Abstract

Information Markets is a compendium of the i-commerce, the commerce with digital information, content as well as software. Information Markets is a comprehensive overview of the state of the art of economic and information science endeavors on the markets of digital information. It provides a strategic guideline for information providers how to analyse their market environment and how to develop possible strategic actions. It is a book for information professionals, both for students of LIS (Library and Information Science), CIS (Computer and Information Science) or Information Management curricula and for practitioners as well as managers in these fields.

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Abstract

In this title, a leading philosopher of the internet explains how knowledge and expertise can still work - and even grow stronger - in an age when the internet has made topics simply Too Big to Know. Knowing used to be so straightforward. If we wanted to know something we looked it up, asked an expert, gathered the facts, weighted the possibilities, and honed in on the best answer ourselves. But, ironically, with the advent of the internet and the limitless information it contains, we're less sure about what we know, who knows what, or even what it means to know at all. Knowledge, it would appear, is in crisis. And yet, while its very foundations seem to be collapsing, human knowledge has grown in previously unimaginable ways, and in inconceivable directions, in the Internet age. We fact-check the news media more closely and publicly than ever before. Science is advancing at an unheard of pace thanks to new collaborative techniques and new ways to find patterns in vast amounts of data. Businesses are finding expertise in every corner of their organization, and across the broad swath of their stakeholders. We are in a crisis of knowledge at the same time that we are in an epochal exaltation of knowledge. In "Too Big to Know", Internet philosopher David Weinberger explains that, rather than a systemic collapse, the Internet era represents a fundamental change in the methods we have for understanding the world around us. Weinberger argues that our notions of expertise - what it is, how it works, and how it is cultivated - are out of date, rooted in our pre-networked culture and assumptions. For thousands of years, we've relied upon a reductionist process of filtering, winnowing, and otherwise reducing the complex world to something more manageable in order to understand it. Back then, an expert was someone who had mastered a particular, well-defined domain. Now, we live in an age when topics are blown apart and stitched together by momentary interests, diverse points of view, and connections ranging from the insightful to the perverse. Weinberger shows that, while the limits of our own paper-based tools have historically prevented us from achieving our full capacity of knowledge, we can now be as smart as our new medium allows - but we will be smart differently. For the new medium is a network, and that network changes our oldest, most basic strategy of knowing. Rather than knowing-by-reducing, we are now knowing-by-including. Indeed, knowledge now is best thought of not as the content of books or even of minds, but as the way the network works. Knowledge will never be the same - not for science, not for business, not for education, not for government, not for any of us. As Weinberger makes clear, to make sense of this new system of knowledge, we need - and smart companies are developing - networks that are themselves experts. Full of rich and sometimes surprising examples from history, politics, business, philosophy, and science, "Too Big to Know" describes how the very foundations of knowledge have been overturned, and what this revolution means for our future.

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Series

Advances in information systems and management science; 39

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Series

Knowledge and information : studies in information science

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LCSH

Management Science

Subject

Management Science

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Abstract

The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.

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Abstract

This book looks at the key skills that are required in organizations in the information intensive society; it also examines the power of information behaviour on the construction of different kinds of shared knowledge and social identity in a group. The book introduces the different dimensions of social capital that is structural and cognitive, and looks at the relational aspects of information behaviour in organizations. This book analyses experiences with two different case studies - in the financial and biotechnology industries - in order to gain additional insights in how the internal organization environment should be designed to support the development of the organization's intellectual capital. Key Features 1. Introduces social capital dimensions to the knowledge management framework 2. Provides empirical work on the new combination of social capital and organizational information behaviour. 3. Two different information sharing practices are presented: a claims handling unit (routine based work) and a biotechnology firm (expert work) 4. Develops social capital measures into qualitative information research 5.The book illustrates the importance of social aspects in ma She has worked as a visiting researcher at Napier University, Edinburgh, 2004-05. Her teaching and research concerns information seeking, information management in business organizations, and aspects of social capital and knowledge sharing in groups and organizations. She has published several articles and papers in these areas. Readership The book is aimed at academics and students at all levels in library and information science, as well as information management and knowledge management practitioners and managers interested in managing information and knowledge effectively.Contents Part 1: Theories of Information Sharing Information sharing in context Patterns of sharing - enablers and barriers Social navigation Part II: Two Practices in Information Sharing Introducing the two cases Claims handlers Expert organisation Part III: Insights into Information, Knowledge Sharing and Social Capital Dimensions of social capital in the two cases Social capital and sharing - building structures for knowledge sharing and its management Importance of the awareness of social capital in connection with information and knowledge sharing in today's companies.