deck

Empire State Immersive Experiences (ESIE) Project: Capture Reality at your Library

SUNYLA 2020

Copy of Libraries in the Age of Extended Reality: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR)

Intersect 2019

Copy of Libraries in the Age of Extended Reality: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR)

Libraries in the Age of Extended Reality: Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR)

Libraries in the Age of Extended Reality

Presentation for ALA midwinter 2018

Copy of Linked Data: the Building Blocks of the Semantic Web

The term "Linked Data" refers to a set of best practices for publishing and connecting structured data on the Web. The best way for librarians to understand is to think of Linked Data as MARC for the web. The big difference is that in the web environment the data can be inter-connected to multiple sources, formats, and meta-data, and by aggregating linked data, it is possible to gain more insight to the context and meaning of the data. The concept of linked data is to make the human interpretation of the data machine readable. Examples of data that can be linked include the US data.gov site, OCLC Virtual International Authority File (VIAF), and microformats. This workshop will cover a brief overview of linked data, look at some practical applications, and do some hands on exercises to demonstrate linked data.

Linked Data: the Building Blocks of the Semantic Web

The term "Linked Data" refers to a set of best practices for publishing and connecting structured data on the Web. The best way for librarians to understand is to think of Linked Data as MARC for the web. The big difference is that in the web environment the data can be inter-connected to multiple sources, formats, and meta-data, and by aggregating linked data, it is possible to gain more insight to the context and meaning of the data. The concept of linked data is to make the human interpretation of the data machine readable. Examples of data that can be linked include the US data.gov site, OCLC Virtual International Authority File (VIAF), and microformats. This workshop will cover a brief overview of linked data, look at some practical applications, and do some hands on exercises to demonstrate linked data.

Data Information Knowledge

Virtual Spatial Discovery

Bring Your Own Learning (BYOL)

Copy of <Learning Bootstrap>

<Learning Bootstrap>

Semantic WebandGoogle's Knowledge Graph

The "semantic web" was first described in 2001 as the next evolutionary step for the World Wide Web. The basic idea of the semantic web is to organize the web data so that search algorithms can not only match keyword strings, but also to find relationships to the data to further understand the intent of the user's search. It is a very simple idea, but we are just starting to see the applications through smart assistants, mobile applications, and Google's Knowledge Graph. This presentation will take a look at the current trends and applications of the semantic web, and to see how this applies to the library and librarian profession.