FinalExam
Part A: Short Answers (40 points) Define and explain any 4 of the following terms and concepts (each answer should be between 150 -300 words): AbstractingArtificial IntelligenceBig DataBorn DigitalControlled VocabulariesCross-ReferencesCumulative IndexesData ManagementData MiningData ScienceDigital RepositoryDigital ScholarshipFacet AnalysisFolksonomyIndexingKnowledge RepresentationLinked DataMalicious TaggingMetadataNatural LanguageOntologyOpen AccessScholarly CommunicationSemantic WebTaxonomyThesaurusTopic Maps Note: Each answer is graded on a 10-point scale, and please answer with a statement of less than 300 words. Use examples where appropriate, in the context of indexing, abstracting, and information retrieval. |
Part B: Essay Questions(60 points) Discuss 3 of the following essay questions (with 500 – 750 words for each of the items): List and discuss three different types of indexes. List and discuss three different types of Abstracts.Compare and contrast the use of Controlled Vocabulary versus Free Text indexing and retrieval. One function of a printed index has been to facilitate browsing. How can we enhance the browsing capability in an online index?Discuss the trends and issues related to Image indexing.In light of the popularity of ChatGPT and other artificial intelligence tools, what do you think about the future of indexing? Note: Each essay is graded on a 20-point scale, and discussion should be between 500 – 750 words. In answering the questions, consult various resources (including: external resources, reading assignments, mini-lectures, group presentations, exercises, and of course, what you have stored in your head) and convince me that you have learned something in this course. |