Taxonomies: Practical Approaches to Developing and Managing Vocabularies for Digital Information: Practical Approaches to Developing and Managing Voca

ISBN-13: 9781783304813 / Angielski / Miękka / 2022 / 224 str.

Helen Lippell

Opis

Taxonomies: Practical Approaches to Developing and Managing Vocabularies for Digital Information is a curated anthology of expert-contributed chapters and case studies that cover the wide range of ways in which taxonomies are used in digital applications including the web, enterprise systems and libraries.

Spis treści

Foreword by Heather Hedden Introduction by Helen Lippell Part 1: Getting Started 1. Business Buy-in and Scoping 2. Choosing Taxonomy Software Part 2: Building Taxonomies 3. Taxonomy Structuring and Scaling: A Standardised Approach 4. The Diversity of Terms: Respecting Culture and Avoiding Bias 5. Relationships, Hierarchies and Semantics 6. User Testing and Validation 7. Taxonomy and Vocabulary Interoperability 8. Everything that Will Go Wrong in your Taxonomy Project Part 3: Applications 9. Enterprise Search 10. Taxonomy and Digital Asset Management 11. Powering Structured Content with Taxonomies 12. Information Architecture and E-commerce Part 4: Business Adoption 13. Implementing Taxonomies and Metadata: Lessons from a Busy Newsroom 14. Taxonomy Governance 15. Taxonomy Maintenance 16. The Taxonomist's Role in a Development Team Appendix A: Metadata Template to Capture Taxonomy Term Diversity Appendix B: Semantics: Some Basic Ontological Principles Appendix C: Metadata Model Template Glossary

O autorze

Helen Lippell is an independent information professional and consultant who focuses on helping organisations organise their content and data. She designs information architectures, metadata schemas, ontologies, taxonomies and semantic models to help companies fully exploit the value of their "stuff". Helen has worked for a wide range of clients in different sectors, including the BBC, Metropolitan Police and Pearson and is a regular speaker on taxonomies, ontologies and other knowledge model frameworks.