Friday, December 12, 2014

Workshop on Reconciliation of Linked Open Data (December 1-2, 2014) #LODLAM

IMG_20141202_105215895On December 1-2, 2014, I attended the Workshop on Reconciliation of Linked Open Data hosted by the Mellon Foundation.

The workshop was attended by about 35 people from sixteen major institutions (and some independent research areas).

(full agenda, participant list and presentations are linked above).

The objectives of the workshop were:

  1. Generate a common understanding of the definition and value of "reconciliation" in the emerging infrastructure for linked open data;
  2. Determine whether establishing a reconciliation engine (or making use of an existing one) for linked data would advance new possibilities for the discovery and use of the items in library, archives, and museum (LAM) collections, including items that they license;
  3. Identify the most promising areas of LAM content and services for initial reconciliation efforts; and
  4. Frame potential starting points for a follow-on work effort.
The following framing presentations guided the discussions:

Robert Sanderson, “The Linked Data Snowball and Why We Need Reconciliation.”
Provide a brief survey of linked open data activity in the US and Europe and a brief description of the purpose of a reconciliation engine, outlining some ideas about: how a multi-national engine might work; how products of a LAM reconciliation engine might interoperate with products from other, similar engines or otherwise get spread and further reconciled.

Philip Schreur, “Research Libraries and Identity Management: Reconciling our Futures.”
Focus on linked data in libraries, especially for discovery of library collections, highlighting the limitations such as licensed and non-licensed journal content, among other resources.

Dean Krafft, “Enhancing discovery with entity resolution: use cases from the Linked Data for Libraries (LD4L) project.” 
See the LD4L Use Cases wiki at (
Describe an example of how the products of a library-based reconciliation engine could be used in creating a new kind of discovery environment.

Hugh Glaser, “It’s all about identification.”
Provide an overview of general requirements for a reconciliation environment, inputs, outputs, need for quality control, sharing or relationships with other reconciliation engines.

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