Big Metadata: Mining Special Collections Catalogs for New Knowledge

Big Metadata: Mining Special Collections Catalogs for New Knowledge

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  Big Metadata Mining SpecialCollections Catalogs for New Knowledge @AllisonJaiODell #rbms15 2015 RBMS Conference, 25 June, Oakland & Berkeley, CA #gillsans #sorrynotsorry
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  Metadata Data about data “Metadatawas traditionally in the card catalogs of libraries” -- Wikipedia “We kill people based on metadata”
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  Big Data “Big datais an evolving term that describes any voluminous amount of structured, semi- structured, and unstructured data that has the potential to be mined for information.” -- Margaret Rouse IT Acronyms: A Quick Reference Guide Volume Velocity Variety Veracity
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  Big Metadata A voluminousamount of semi-structured data that has the potential to be mined for information
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  Data Mining “Data miningis the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner.” -- David Hand, Heikki Mannila, Padhraic Smyth Principles of Data Mining
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  Digital Humanities “By digitalhumanities, we mean research that uses information technology as a central part of its methodology, for creating and/or processing data. “The digital humanities used to be known as Humanities Computing, or ICT (Information and Communications Technology) for humanities research.The use of the term reflects a growing sense of the importance that digital tools and resources now have for humanities subjects.” -- University of Oxford What are the Digital Humanities?
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  Visualization “Data visualization isthe presentation of data in a pictorial or graphical format. For centuries, people have depended on visual representations such as charts and maps to understand information more easily and quickly” -- SAS
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  Topic Modeling “Topic modelsprovide a simple way to analyze large volumes of unlabeled text. A ‘topic’ consists of a cluster of words that frequently occur together.” -- MAchine Learning for LanguagE Toolkit (MALLET)
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  Pattern Matching “Pattern matchingis the act of checking a given sequence of tokens for the presence of the constituents of some pattern.” -- Wikipedia “A regular expression (regex or regexp for short) is a special text string for describing a search pattern.You can think of regular expressions as wildcards on steroids.” -- regular-expressions.info
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  Tools R D3 Gephi MIT Exhibit Tableau FusionCharts PALLADIO MALLET Topic-Modeling-Tool ArchExtract Stanford NamedEntity Recognizer Jigsaw More in the DH Toychest
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  ShopYour Closet “You reallycan repurpose what you have. Look in the back of the closet at the garments and whole outfits you forgot you have. Mix it all up in new combinations.“ -- Deborah L. Jacobs 10 Ways to ‘Shop Your Closet’
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  Share Everything Plan Datadumps Export options Harvesting enabled
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  Provenance Metadata “Assertions aboutdescription statements or description sets” -- DCMI Metadata Provenance Task Group Creation & revision history Policy documentation
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  Summary Metadata is data Yourcatalog is full of data Do some data mining Make some cool discovery experiences Make your researchers happy
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  Questions? Allison Jai O’Dell MetadataLibrarian University of Florida [email protected] @AllisonJaiODell #rbms15