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The document discusses Carol Kuhthau's Information Search Process (ISP) model, which outlines seven stages of information seeking: initiation, selection, exploration, formulation, collection, presentation, and assessment. It asks how different parts of an assigned database, such as full-text keyword searching, controlled vocabulary, glossaries, and reference works, can help with the various stages of the ISP, like discovering what you want to search for or know you want to find. Sample searching of the database is suggested.
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Abstract: With the recent advances in natural language processing and machine learning thanks to deep learning and large general purpose models, many search applications are confronted with how best to upgrade their systems, if at all. In this talk, we’ll look at practical ways to enhance search using neural and other machine learning techniques across ranking, content understanding and query understanding. We’ll also look at the tradeoffs of traditional approaches with a goal of helping you decide what’s best for your application.
For more info on Open Source Charlotte: https://www.meetup.com/open-source-charlotte/
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This document provides an overview of finding and evaluating information sources for assignments. It discusses:
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- Information sources available through the library, such as databases, eBooks, and subject guides. It also discusses evaluating sources based on currency, authority, relevance, and purpose.
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Intl190 kahler guide
This document provides step-by-step instructions for conducting library research on emerging economies and world politics. It outlines choosing a topic and keywords, constructing a search strategy, selecting appropriate resource types like books, articles, datasets and primary sources, running searches in relevant databases and tools, obtaining full-text versions when possible, and evaluating sources. The focus is on using the UCSD library resources and databases to find in-depth information to develop arguments and draw conclusions.
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This document provides tips for researching a topic and conducting effective searches, including:
- Choosing a topic and identifying key words before beginning searches to stay organized and focused.
- Using Boolean operators like AND, OR and NOT to combine search terms and include or exclude results.
- Employing search techniques like phrases, truncation, wildcards and dealing with spelling variations.
- Evaluating search results based on factors like date, author credentials, peer-review, and reliability of sources.
- Viewing the search process as iterative to refine searches by exploring new terms and modifying searches.
Getting started with a systematic review: planning and doing a search
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Researcher KnowHow session presented by Michelle Maden PhD MA FHEA, Postdoc research associate in evidence synthesis, Liverpool Reviews and Implementation GroupSystematic Reviews Session 2: Searching
This document provides guidance on developing a search strategy for a systematic review. It discusses defining key concepts to search, identifying appropriate sources and search terms, using Boolean operators and limits to combine terms, and tips for conducting, recording, and reporting searches. The goal is to comprehensively and systematically identify all relevant evidence to answer the review question while minimizing bias. Developing an effective search strategy is a crucial step in the systematic review process.
Writing Research Proposals and Publications: Getting started
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A presentation from the joint CILIP Information Literacy Group and Library and Information Research Group's Writing Research Proposals and Publication event. Getting started with your research skills
This document provides guidance on starting research for a dissertation or independent project. It covers choosing a topic, conducting a literature review, developing search strategies using keywords and Boolean logic, evaluating sources, and tools for record keeping and referencing. Tips are given for selecting a topic of interest, systematically searching databases and following citation trails, and keeping track of information found. Further support resources from the library and academic staff are also highlighted.
Engl 1221 anspach
This document provides an overview of research strategies and resources for constructing an annotated bibliography. It discusses developing a research question and identifying keywords. The document reviews library catalogs like POLAR and OhioLINK to find books, as well as databases to locate journal articles. General databases like Academic Search Complete and subject-specific databases are covered. The document also addresses evaluating internet sources and using citation management software. Help from reference librarians is available for research assistance.
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This document outlines the topics to be covered in an electronic research and information rhetoric course. The course will cover techniques for searching for and organizing information, as well as information architecture and knowledge management. Key questions around search and organization are discussed. The document lists learning goals and chapter topics that will focus on information in space, alphabetization, geography of knowledge, classification approaches, social knowledge, and the work of knowledge.
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The document outlines questions for small groups to discuss regarding ethics in web search. The groups are asked to consider the main ethical considerations search providers should consider, whether rules or laws should apply to search engine companies, and what rights users have to know about how search results are ranked and to appeal ranking decisions. Examples of issues to discuss include distinguishing ads from organic results, paid rankings, how rankings are determined, Europe's "right to be forgotten" laws, and handling controversial or offensive content.
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The document discusses the Open Graph protocol, which allows webpages and websites to be more than just text documents and become part of a giant social database through the use of metadata. It explains that while the traditional web can be seen as a giant book of text pages, the semantic web aims to be a giant database through the use of metadata tags and structured data. The Open Graph protocol, created by Facebook, allows webpages to include metadata in the page's HTML head that describes the entire page rather than just elements, making the page part of Facebook's social graph network.
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The document provides an introduction to using schema.org for marking up information on web pages. It explains the basic components of schema.org markup: declaring an element with itemscope, specifying the item type with itemtype, and defining properties of the item with itemprop. An example is provided of marking up contact information for a person using schema.org properties like name, jobTitle, and affiliation.
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The document discusses the need for the Semantic Web to add explicit meaning and well-organized metadata to the existing web. It notes that the current web lacks authority, explicit meaning, and well-organized metadata. The Semantic Web aims to inject standards, explicit meaning, and well-organized metadata to address these issues by establishing a set of rules to distinguish different meanings of terms and better organize information through technologies like schema.org, microformats, and the Open Graph Protocol.
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This document discusses factors to consider when developing an SEO plan tailored to a specific website and audience. It identifies that there is no one-size-fits-all approach, and an SEO plan must be matched to both the website and its customers. Key factors that influence the SEO approach include whether the business is B2B or B2C, its size, and the type of website. The document also outlines three essential elements of any SEO plan: technical optimization, marketing through keywords, and ongoing measurement. While SEO is always changing, some principles remain constant, such as robots delivering content, blended search results, and focusing on readable text over tricks.
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This document discusses search engine optimization (SEO) and why it is important for businesses. It notes that SEO exists because web search is imperfect and it allows businesses to gain advantages by optimizing their websites and content to rank higher in search results. Proper SEO, such as posting high-quality content with relevant keywords, can help businesses attract more traffic and avoid losing potential customers if their website is not found online.
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This document discusses how libraries traditionally organize information through organized metadata, and how this differs from the uncontrolled and heterogeneous nature of web documents. It explains how Google was able to scale search to the web by harvesting implicit metadata like HTML tags, links, and traffic rather than requiring manual cataloging of every page. The document advocates for library discovery tools to take cues from web search and leverage existing metadata rather than relying solely on siloed databases.
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This document provides an overview of basic database concepts and terminology. It discusses why databases are useful for storing and organizing large amounts of information, and outlines some key database concepts like records, fields, tables, keys, and Boolean logic. It also provides guidance on how to develop a sample database structure and discusses common database tasks like searching and filtering records.
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This document discusses different types of knowledge organization and metadata. It addresses:
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This document provides instructions for a search strategy project with four parts: a 1200 word essay describing and evaluating a library database, a search narrative telling the story of one search, a sample database record annotated to explain the fields, and a help guide teaching other students how to use the database. It recommends choosing a single-subject database and getting to know it through help documents and searches before writing the narrative and annotated record. The help guide should teach database use through an informative design like a poster, podcast, or slide deck.
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This document discusses different types of searching: full-text keyword searching, second order searching, and third order searching.
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This document provides instructions for a class project on digital organization. Students are asked to break into groups and choose from iTunes, Amazon, or Wikipedia to search for how many metal bands are from Norway. They will then answer follow up questions about whether the tool knows information like the number of albums, genres, and origins of bands. The document introduces key vocabulary like fields and facets to describe metadata organization and defines concepts like recall and precision for evaluating search accuracy.
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The document provides instructions for an in-class activity where students will work in small groups to classify a collection of coasters using headings, sub-headings, and further splits. They are asked to consider what their collection is "about" and alternate classifications they did not use. The remainder of class will be spent adding facets to their classification scheme to allow items to have multiple descriptions, and their notes will be emailed to the instructor.
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1006 kuhlthau
- 2. Discovering what you want is at least as important and finding what you know you want.
- 6. Discovering what you want is at least as important and finding what you know you want.
- 8. Where are we going with this?
- 9. Carol Kuhthau’s ISP (Information Search Process)
- 10. • Initiation • Selection • Exploration • Formulation • Collection • Presentation • Assessment
- 11. Carol Kuhthau’s ISP (Information Search Process)
- 12. Carol Kuhthau’s ISP (Information Search Process)
- 13. Carol Kuhthau’s ISP (Information Search Process)
- 14. So the question is: • What are the parts of your assigned database that help searches w/ the various stages of the ISP? • Initiation • Selection • Exploration • Formulation • Collection • Presentation • Assessment
- 15. Let’s do some sample searching…
- 16. • Full text keyword searching: searches all fields and content for search terms. (You can search the database even if you don’t know the subject.) • Controlled Vocabulary: Also known as subjects, topics, thesaurus, descriptors (major and minor) • Glossary of terms: Similar to a thesaurus, helps define terms as used in this tool. (Example: equity in a sociology database versus in an economics database.) • Reference Works: Encyclopedia, dictionaries, handbooks, and other reference works answer simple questions scholarly articles assume.