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The taxobook.

By: Hlava, Marjorie M. K [author.].
Material type: materialTypeLabelBookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on information concepts, retrieval, and services: # 37.Publisher: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2015.Description: 1 PDF (xxv, 130 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9781627055833.Other title: Applications, implementation, and integration in search.Subject(s): Classification | Knowledge, Theory of | Information organization | taxonomy | thesaurus | controlled vocabulary | search | retrieval | ontology | knowledge organization | classification | theory of knowledge | metadataDDC classification: 121 Online resources: Abstract with links to resource Also available in print.
Contents:
1. On your mark, get ready wait! Things to know before you start the implementation step -- 1.1 Determine your needs -- 1.2 Software for taxonomies and thesauri -- 1.3 Taxonomy editing software -- 1.4 Displays of your taxonomy or thesaurus -- 1.4.1 Producing thesaurus views -- 1.4.2 Systematic views -- 1.5 Output formats -- 1.5.1 Printed output -- 1.5.2 Thesaurus output for web -- 1.5.3 Thesaurus output for automated indexing -- 1.6 Document indexing software -- 1.7 Save a place for the metadata! Database systems and content management systems -- 1.8 Search software --
2. Taxonomy and thesaurus implementation -- 2.1 How taxonomy terms are used -- 2.2 Connecting taxonomies -- 2.3 Coordinating platform and taxonomy implementations intelligently -- 2.4 RDF: a wrapper for metadata -- 2.5 Taxonomies in SharePoint -- 2.6 Taxonomies and semantic integration -- 2.6.1 Breaking down automatic metadata generation and extraction -- 2.7 Indexing vs. hierarchy -- 2.7.1 Changing the hierarchy --
3. How is a taxonomy connected to search? -- 3.1 The world of search -- 3.2 Displaying content based on search: an association example -- 3.3 How is a taxonomy connected to search? -- 3.4 Using a taxonomy to guide the searcher -- 3.5 Tools for search -- 3.5.1 Search engines -- 3.5.2 Crawlers and spiders -- 3.5.3 Search software -- 3.6 Parts of a search-capable system -- 3.6.1 Ranking algorithms -- 3.6.2 Query language and syntax -- 3.6.3 A federator -- 3.6.4 Caches and caching algorithms -- 3.6.5 An inverted index -- 3.6.6 The presentation layer -- 3.6.7 Some variables -- 3.7 Assembling a search-capable system -- 3.8 Measuring quality in search -- 3.8.1 Search accuracy -- 3.8.2 Search speed -- 3.8.3 Search usability -- 3.9 Kinds of search -- 3.10 The famous theoreticians and their theories on search -- 3.10.1 George Boole and Boolean algebra -- 3.10.2 Thomas Bayes and Bayes' theorem -- 3.10.3 Other recent theories in search -- 3.10.4 Peter D. Turney and Turney's algorithm -- 3.10.5 Marco Dorigo and ant colony optimization -- 3.11 Other search approaches -- 3.11.1 Ranking algorithms -- 3.11.2 Natural language processing in search -- 3.11.3 Automatic language processing -- 3.11.4 Statistical search -- 3.12 Inverted files, parsing, discovery, and clustering -- 3.12.1 The inverted index -- 3.12.2 Parsing -- 3.12.3 Other search techniques -- 3.12.4 Discovery search options -- 3.12.5 Clustering -- 3.13 Faceted search -- 3.14 The possibilities of search interfaces --
4. Implementing a taxonomy in a database or on a website -- 4.1 Start from the beginning -- 4.1.1 The taxonomy or thesaurus tool -- 4.1.2 The indexing tool -- 4.1.3 The database management system -- 4.1.4 Implementing the taxonomy in search -- 4.1.5 Putting together the pieces for a phenomenal website -- 4.2 Empowering the authors -- 4.3 Matching up people with people, places, and subject areas -- 4.3.1 Data mashups -- 4.3.2 Find experts -- 4.3.3 Member profile tagging -- 4.4 Musings on name disambiguation -- 4.5 Data visualization and text analytics -- 4.5.1 IEEE case study -- 4.6 New platforms -- 4.6.1 Taxonomies in e-commerce -- 4.6.2 Taxonomy recommendation engine --
5. What lies ahead for knowledge organization? -- 5.1 Looking through a crystal ball -- 5.2 Ontology and semantic network implementation: not for everyone yet, but you can prepare for it now --
Glossary -- End notes -- Author biography.
Abstract: This book is the third of a three-part series on taxonomies, and covers putting your taxonomy into use in as many ways as possible to maximize retrieval for your users. Chapter 1 suggests several items to research and consider before you start your implementation and integration process. It explores the different pieces of software that you will need for your system and what features to look for in each. Chapter 2 launches with a discussion of how taxonomy terms can be used within a workflow, connecting two--or more--taxonomies, and intelligent coordination of platforms and taxonomies. Microsoft SharePoint is a widely used and popular program, and I consider their use of taxonomies in this chapter. Following that is a discussion of taxonomies and semantic integration and then the relationship between indexing and the hierarchy of a taxonomy. Chapter 3 ("How is a Taxonomy Connected to Search?") provides discussions and examples of putting taxonomies into use in practical applications. It discusses displaying content based on search, how taxonomy is connected to search, using a taxonomy to guide a searcher, tools for search, including search engines, crawlers and spiders, and search software, the parts of a search-capable system, and then how to assemble that search-capable system. This chapter also examines how to measure quality in search, the different kinds of search, and theories on search from several famous theoreticians--two from the 18th and 19th centuries, and two contemporary. Following that is a section on inverted files, parsing, discovery, and clustering. While you probably don't need a comprehensive understanding of these concepts to build a solid, workable system, enough information is provided for the reader to see how they fit into the overall scheme. This chapter concludes with a look at faceted search and some possibilities for search interfaces. Chapter 4, "Implementing a Taxonomy in a Database or on a Website," starts where many content systems really should--with the authors, or at least the people who create the content. This chapter discusses matching up various groups of related data to form connections, data visualization and text analytics, and mobile and e-commerce applications for taxonomies. Finally, Chapter 5 presents some educated guesses about the future of knowledge organization.
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Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBKE602
Total holds: 0

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

"Part 3 of a 3-part series."

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 123-128).

1. On your mark, get ready wait! Things to know before you start the implementation step -- 1.1 Determine your needs -- 1.2 Software for taxonomies and thesauri -- 1.3 Taxonomy editing software -- 1.4 Displays of your taxonomy or thesaurus -- 1.4.1 Producing thesaurus views -- 1.4.2 Systematic views -- 1.5 Output formats -- 1.5.1 Printed output -- 1.5.2 Thesaurus output for web -- 1.5.3 Thesaurus output for automated indexing -- 1.6 Document indexing software -- 1.7 Save a place for the metadata! Database systems and content management systems -- 1.8 Search software --

2. Taxonomy and thesaurus implementation -- 2.1 How taxonomy terms are used -- 2.2 Connecting taxonomies -- 2.3 Coordinating platform and taxonomy implementations intelligently -- 2.4 RDF: a wrapper for metadata -- 2.5 Taxonomies in SharePoint -- 2.6 Taxonomies and semantic integration -- 2.6.1 Breaking down automatic metadata generation and extraction -- 2.7 Indexing vs. hierarchy -- 2.7.1 Changing the hierarchy --

3. How is a taxonomy connected to search? -- 3.1 The world of search -- 3.2 Displaying content based on search: an association example -- 3.3 How is a taxonomy connected to search? -- 3.4 Using a taxonomy to guide the searcher -- 3.5 Tools for search -- 3.5.1 Search engines -- 3.5.2 Crawlers and spiders -- 3.5.3 Search software -- 3.6 Parts of a search-capable system -- 3.6.1 Ranking algorithms -- 3.6.2 Query language and syntax -- 3.6.3 A federator -- 3.6.4 Caches and caching algorithms -- 3.6.5 An inverted index -- 3.6.6 The presentation layer -- 3.6.7 Some variables -- 3.7 Assembling a search-capable system -- 3.8 Measuring quality in search -- 3.8.1 Search accuracy -- 3.8.2 Search speed -- 3.8.3 Search usability -- 3.9 Kinds of search -- 3.10 The famous theoreticians and their theories on search -- 3.10.1 George Boole and Boolean algebra -- 3.10.2 Thomas Bayes and Bayes' theorem -- 3.10.3 Other recent theories in search -- 3.10.4 Peter D. Turney and Turney's algorithm -- 3.10.5 Marco Dorigo and ant colony optimization -- 3.11 Other search approaches -- 3.11.1 Ranking algorithms -- 3.11.2 Natural language processing in search -- 3.11.3 Automatic language processing -- 3.11.4 Statistical search -- 3.12 Inverted files, parsing, discovery, and clustering -- 3.12.1 The inverted index -- 3.12.2 Parsing -- 3.12.3 Other search techniques -- 3.12.4 Discovery search options -- 3.12.5 Clustering -- 3.13 Faceted search -- 3.14 The possibilities of search interfaces --

4. Implementing a taxonomy in a database or on a website -- 4.1 Start from the beginning -- 4.1.1 The taxonomy or thesaurus tool -- 4.1.2 The indexing tool -- 4.1.3 The database management system -- 4.1.4 Implementing the taxonomy in search -- 4.1.5 Putting together the pieces for a phenomenal website -- 4.2 Empowering the authors -- 4.3 Matching up people with people, places, and subject areas -- 4.3.1 Data mashups -- 4.3.2 Find experts -- 4.3.3 Member profile tagging -- 4.4 Musings on name disambiguation -- 4.5 Data visualization and text analytics -- 4.5.1 IEEE case study -- 4.6 New platforms -- 4.6.1 Taxonomies in e-commerce -- 4.6.2 Taxonomy recommendation engine --

5. What lies ahead for knowledge organization? -- 5.1 Looking through a crystal ball -- 5.2 Ontology and semantic network implementation: not for everyone yet, but you can prepare for it now --

Glossary -- End notes -- Author biography.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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This book is the third of a three-part series on taxonomies, and covers putting your taxonomy into use in as many ways as possible to maximize retrieval for your users. Chapter 1 suggests several items to research and consider before you start your implementation and integration process. It explores the different pieces of software that you will need for your system and what features to look for in each. Chapter 2 launches with a discussion of how taxonomy terms can be used within a workflow, connecting two--or more--taxonomies, and intelligent coordination of platforms and taxonomies. Microsoft SharePoint is a widely used and popular program, and I consider their use of taxonomies in this chapter. Following that is a discussion of taxonomies and semantic integration and then the relationship between indexing and the hierarchy of a taxonomy. Chapter 3 ("How is a Taxonomy Connected to Search?") provides discussions and examples of putting taxonomies into use in practical applications. It discusses displaying content based on search, how taxonomy is connected to search, using a taxonomy to guide a searcher, tools for search, including search engines, crawlers and spiders, and search software, the parts of a search-capable system, and then how to assemble that search-capable system. This chapter also examines how to measure quality in search, the different kinds of search, and theories on search from several famous theoreticians--two from the 18th and 19th centuries, and two contemporary. Following that is a section on inverted files, parsing, discovery, and clustering. While you probably don't need a comprehensive understanding of these concepts to build a solid, workable system, enough information is provided for the reader to see how they fit into the overall scheme. This chapter concludes with a look at faceted search and some possibilities for search interfaces. Chapter 4, "Implementing a Taxonomy in a Database or on a Website," starts where many content systems really should--with the authors, or at least the people who create the content. This chapter discusses matching up various groups of related data to form connections, data visualization and text analytics, and mobile and e-commerce applications for taxonomies. Finally, Chapter 5 presents some educated guesses about the future of knowledge organization.

Also available in print.

Title from PDF title page (viewed on December 23, 2014).

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