Enhancing search and discovery with linked data, Roy Tennant @rtennant #InternetLibrarian

MARC mostly just took data from cards. We have strings of text with inconsistent punctuation. Extra data, such as inferred dates and subject headings.

Designed for description rather than discovery. Catalogs tell you if the library has a specific edition of a work, but doesn’t pull together different editions very well.

His site: MARC usage in WorldCat

The Legacy Problem: inconsistent usage, such as formats in 245 $h.

The Title Problem: All the different editions and forms of “Hamlet” in one big list with no distinctions.

The Name Problem: John Rock, the abolitionist or the scientist.

Solving the problems: name all the things (“entity”). Define relationships with other entities.

Triples: A person called Albert Einstein wrote a work called Relativity about Physics.

Canonical URLs:

Persons: wikidata, VIAF
Works: WorldCat Works
Subjects: LC Subject Headings

These are not *records*. They are assertions. Each can stand alone. A record is a set of assertions.

Google tells you how to use linked data on your page, but linked data is not search engine optimization.

Site: Linked Jazz.

WorldCat Linked Data: WorldCat Works, Fiction Finder
(Solving the Title Problem)

Could have a page on an author that pulls in bio from wikidata, book info from WorldCat, etc.

WorldCat Entity Cards

U. Of Wisconsin catalog: queries VIAF, then goes to other sources, such as Getty, DBPedia, etc.

OCLC is linking a work to its translations.

Authority data: VIAF and other identifiers in Wikipedia. (Solves the Name Problem)


Legacy data needs work. Legacy systems need work. Bibframe isn’t ready. A steep learning curve.


Services, tools, & techniques for discovery, Gary Price @Infodocket #InternetLibrarian

Slides at http://bit.ly/GaryIL18

Specializes in finding full-text online works on the open web. But also lots of great multimedia material, such as important lectures stream live or saved on YouTube.

Curation, organization still has a huge role.

People like to know things before other people. Once you do this once or twice, you’ve made a friend for life. Send them stuff you know they are interested in.


One Tab: Send all open browser tabs to a single web page.


Wikipedia stats, Wikipedia edits in real time

Open citations: Scholia by wikidata



U.S. government documents registry (Hathi Trust)

CRS reports now officially available. (Not everything online yet.)


Webrecorder.io (saves pages you browse, does not work with PDF docs)

New beta feature of Wayback Machine: save outlinks (i.e., pages linked to from the page you specify)

Zotero-Unpaywall integration

FBO.gov (govt. contracts): good for business research

Court Listener: court filings (sometimes free PACER docs)

Gary recommends Inoreader: RSS, Twitter feeds, Google alerts. Free and pay versions

American Archive of Public Broadcasting

Academic material: search options beyond Google Scholar

Online Chat #InternetLibrarian

Terry Beck, Sno-Isle Libraries (Wash.)

Charles Wu, UT San Antonio

Joel Thornton and Elaine Thornton, University of Arkansas

Slides available here: http://conferences.infotoday.com/documents/259/E304_Wu(1).pptx

And here: http://conferences.infotoday.com/documents/259/E304_Thornton(1).pptx

Beck found that there weren’t a lot of local-specific questions in the middle of the night, so her service starts at 8 a.m.  Also, switched services from the one most libraries in the state were using because it wasn’t working for them.

Wu did a lot of analysis on the dates and times questions came in.

The Thorntons did user testing to see what really worked for students on their chat web page.

Culture in Transit: Digitizing and Democratizing NYC’s Cultural Heritage #InternetLibrarian @AnneKZ

Anne Karle-Zenith

Slides here: http://conferences.infotoday.com/documents/259/E302_Karle-Zenith.pdf

Scanning program for METRO (New York City + Westchester)

Digital Culture of New York

(Everything gets harvested by the NY State digital library, then Digital Public Library of America)

Switched from ContentDM (an OCLC product) to Islandora for database.

Blog: Culture in Transit

Toolkit coming soon.

Institutional scanning:

Had a goal to get to 10-15 institutions — small, but interesting libraries that didn’t have time/money/staff to do it themselves — in a year.  They got to 10 and scanned 1,600 items.  One person would go to the institution with portable scanning gear, spend about two weeks scanning, then another two weeks back at the office doing processing, metadata, etc.

Community Scanning:

Went to Brooklyn and Queens public libraries, scanned people’s materials and talked to them about what they were.  Returned digital copies to donors on a thumb drive.  Not just libraries: also schools, churches, cemeteries, bars.  Three to four staff who knew all phases of the project would go to a site.  Encouraged community groups (for example, Filipinos of Queens).

Santa Clara Valley archives crawl, Saturday, Oct. 22 #InternetLibrarian

If you’re in the area next Saturday, come to the Santa Clara Valley archives crawl.  Eleven libraries, museums, etc. will have open houses to show off their archives.  You can go to any or all of them.

For more info, see https://www.sjpl.org/blog/santa-clara-valley-archives

(Santa Clara Valley is the area in and around San Jose, about 50 miles north of Monterey.)