Professor Marcia Lei Zeng Professor, School of Library and
Information Science, Kent State University (http://marciazeng.slis.kent.edu)
gave a fascinating presentation on Libraries in the semantic web at ANU Library
this week.. She challenged us with questions include:
- How can we do more with what we have?
- How can we do more with less? [We do not want to buy another system.]
- How can we use these LOD data?
In looking at projects she had led focused on turning
metadata into linked data she took us through a project on AGRIS that uses
controlled vocabulary to link with resources – a brilliant combination of data
and text. She suggested that the library catalogue was no longer the central
access point and described a flipped model which allowed exploration of
external data sources such as DBPedia-Wikipedia, statistical collections and
more. She described how hidden access points in the catalogue can bring in much
richer information and knowledge through library data, with the example of 5xx
fields.
Positing “big text” as the library “bid data” source, she
looked at oral history integration through www.unmulitmedia.org
which could include hyperlinking automatically in the transcript – an example
she used to describe the difference between findability and accessibility. In
exploring the concept of the “Internet of things” she used the COGNITO
intelligence API as an example of contextual linking of data and opening up of
finding aids to connect rich data. She described the work of the Linked Open
Data-- Libraries, Archives, and Museums (LAM) Research Group
http://lodlam.slis.kent.edu/.
Recent research projects included:
- Connecting LAMs to the unfamiliar data and metadata resources in the Linked Open Data (LOD) Universe
- fact mining, where the team has use automatic semantic analysis tools, testing and compared 3 tools using of 45 archival finding aids drawn from 16 repositories and build the workflow into a tool
- Knowledge Organization Systems (KOS) with deliverables including creating local KOS by creating micro-thesaurus, handling special cultural heritage situations (e.g., unknown artists, unidentified creators, un-named objects) for LOD data and Guidelines for creating local name authorities for archival finding aids
- Smart big data – with innovation and LCI (Liquid Crystal Institute) researcher-related datasets
She illustrated her big text data use scenarios with the
brilliant Nature Video. (2014, July 31). Charting
culture https://www.youtube.com/watch?v=4gIhRkCcD4U
– do have a look at it.
In summarising her talk she said that we need to embrace the
new and changing concepts of the Semantic Web in LAMs – to move:
- from "Web of Documents" to "Web of Data”
- from linking strings to linking things
- from "On the Web" to "Of the Web”
- from machine-readable to machine understandable/processable
Professor Marcia Zeng, Ying-Hsang Liu, Charles Sturt
University and me
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