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Smaccall: /* Projects */

2025-12-05T17:23:46Z

Projects

Smaccall: /* Affiliate Researchers */

2025-11-30T22:10:13Z

Affiliate Researchers

Smaccall: /* Mission */

2025-11-30T22:07:46Z

Mission

Smaccall: /* Projects */

2025-11-30T22:04:40Z

Projects

Smaccall: /* Projects */

2025-11-29T19:41:56Z

Projects

Smaccall: /* Projects */

2025-11-29T19:39:35Z

Projects

Smaccall: /* Leadership */

2025-11-28T19:18:59Z

Leadership

Smaccall at 19:17, 28 November 2025

2025-11-28T19:17:27Z

Smaccall at 19:16, 28 November 2025

2025-11-28T19:16:17Z

Smaccall at 19:15, 28 November 2025

2025-11-28T19:15:54Z

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 ## [https://tinyurl.com/y5wcxqen Video of presentation] by Dr. MacCall to the 2020 Linked Data for Libraries (LD4L) conference
 # <b>Philology Graphs resulting from the semantic indexing of text collections</b>: The rapid growth in the number of digital texts has posed challenges for librarians to make them more navigable and usable. These challenges have prompted researchers to develop different approaches to create semantic descriptions for these resources aiming at more efficient and effective granular access to specific textual content. Ongoing work includes the challenge of computationally recovering the typographical logic of book indexes that is lost when standard page-level OCR scanning techniques are deployed on index pages in historical books hosted at the HathiTrust Digital Library. Recovering typographical logic would aid in the provision of granular access to digital texts through improving textual navigation. Additional information:
-## Liu, H., & MacCall, S.L. (2022). Historical Text Datafication and Loss: Computational Recovery of Typographical Layout Logic on an RDF Graph Featuring ML Methods. Conference paper presented at the 2022 ASIS&T Annual Meeting Pre-conference AI Workshop: [https://asistaiworkshop.web.illinois.edu/program-2022/ AI in the Real World: Strengthening Connections Between LIS Research and Practice] (<b>[https://ir.ua.edu/bitstreams/69a9a746-9003-4996-a5ec-d4597f1e762f/download presentation slides and speaker notes]</b>).
+## Liu, H., & MacCall, S.L. (2022). Historical Text Datafication and Loss: Computational Recovery of Typographical Layout Logic on an RDF Graph Featuring ML Methods. Conference paper presented at the 2022 ASIS&T Annual Meeting Pre-conference AI Workshop: [https://asistaiworkshop.web.illinois.edu/program-2022/ AI in the Real World: Strengthening Connections Between LIS Research and Practice] (<b>[https://ir.ua.edu/handle/123456789/17433 presentation slides and speaker notes]</b>).
 ## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Knowledge Graph as Navigational Paratext: Returning Structural Semantics to a Closed System Index through the Computational Recovery of the Typographical Logic of Digitized Historical Book Indexes. Conference paper presented at Wissensorganisation 2021, biennial conferences of the German chapter of the International Society of Knowledge Organization.
 ## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Exploring the computational recovery of the typographical logic of book indexes as paratext for improving navigation within digitized historical texts using semantic methods. Poster presented at the 2021 annual meeting of the American Society for Information Science and Technology.

@@ Line 55: / Line 55: @@
 ====Affiliate Researchers====
-# <b>[https://www.stevens.edu/profile/ygan5 Dr. Yu Gan]</b> from Stevens Institute of Technology for digital image processing
+# <b>Dr. Yu Gan</b> from Stevens Institute of Technology for digital image processing
-# <b>[https://www.ua.edu/news/ua-theme-expert/gregory-bott/ Dr. Greg Bott]</b> from the UA Department of Information Systems, Statistics and Management Science for database design and Python programming guidance
+# <b>Dr. Greg Bott</b> from the UA Department of Information Systems, Statistics and Management Science for database design and Python programming guidance
 ====Previous SLIS Students====

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 ====Mission====
-Our digital libraries research mission is to apply linked data methods to investigate the <b>data-driven semantic indexing of text and time-based media collections</b> (born digital and digitized historical) to facilitate the precision search for attribute-bearing collection items, item parts, and other granular components via SPARQL queries and URL-based locators. We are using a [https://osf.io/mx6uk/wiki/home/ Collections as (Meta)data] and [https://www.theindexer.org/files/23-1/23-1_023.pdf closed-system indexing approach] as we investigate various methods for indexing collections based on semantically mapping properties and extracted named entities and features that have been either manually created (e.g., book indexes or video logs) or computationally detected (e.g., among others, [https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-docs/ Microsoft Azure Video Analyzer for Media]). The result of our semantic indexing method are SPARQL queriable RDF knowledge graphs that are hosted on a local Wikibase instance managed by the Office of Information Technology (OIT) at the University of Alabama.
+Our digital libraries research mission is to apply linked data methods to investigate the <b>data-driven semantic indexing of text and time-based media collections</b> (born digital and digitized historical) to facilitate the precision search for attribute-bearing collection items, item parts, and other granular components via SPARQL queries and URL-based locators. We are using a [https://osf.io/mx6uk/wiki/home/ Collections as (Meta)data] and [https://www.liverpooluniversitypress.co.uk/doi/pdf/10.3828/indexer.2002.23.1.7 closed-system indexing approach] as we investigate various methods for indexing collections based on semantically mapping properties and extracted named entities and features that have been either manually created (e.g., book indexes or video logs) or computationally detected (e.g., among others, [https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-docs/ Microsoft Azure Video Analyzer for Media]). The result of our semantic indexing method are SPARQL queriable RDF knowledge graphs that are hosted on a local Wikibase instance managed by the Office of Information Technology (OIT) at the University of Alabama.
 ====General Research Questions====

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 # <b>Philology Graphs resulting from the semantic indexing of text collections</b>: The rapid growth in the number of digital texts has posed challenges for librarians to make them more navigable and usable. These challenges have prompted researchers to develop different approaches to create semantic descriptions for these resources aiming at more efficient and effective granular access to specific textual content. Ongoing work includes the challenge of computationally recovering the typographical logic of book indexes that is lost when standard page-level OCR scanning techniques are deployed on index pages in historical books hosted at the HathiTrust Digital Library. Recovering typographical logic would aid in the provision of granular access to digital texts through improving textual navigation. Additional information:
 ## Liu, H., & MacCall, S.L. (2022). Historical Text Datafication and Loss: Computational Recovery of Typographical Layout Logic on an RDF Graph Featuring ML Methods. Conference paper presented at the 2022 ASIS&T Annual Meeting Pre-conference AI Workshop: [https://asistaiworkshop.web.illinois.edu/program-2022/ AI in the Real World: Strengthening Connections Between LIS Research and Practice] (<b>[https://ir.ua.edu/bitstreams/69a9a746-9003-4996-a5ec-d4597f1e762f/download presentation slides and speaker notes]</b>).
-## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Knowledge Graph as Navigational Paratext: Returning Structural Semantics to a Closed System Index through the Computational Recovery of the Typographical Logic of Digitized Historical Book Indexes. Conference paper presented at Wissensorganisation 2021, biennial conferences of the German chapter of the International Society of Knowledge Organization (<b>[http://smaccall.people.ua.edu/uploads/1/0/1/9/101978326/ppt-final_liu-maccall-lewis-wissenpresoconf-presentation-2021.pdf presentation slides]</b>).
+## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Knowledge Graph as Navigational Paratext: Returning Structural Semantics to a Closed System Index through the Computational Recovery of the Typographical Logic of Digitized Historical Book Indexes. Conference paper presented at Wissensorganisation 2021, biennial conferences of the German chapter of the International Society of Knowledge Organization.
-## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Exploring the computational recovery of the typographical logic of book indexes as paratext for improving navigation within digitized historical texts using semantic methods. Poster presented at the 2021 annual meeting of the American Society for Information Science and Technology. (<b>[http://smaccall.people.ua.edu/uploads/1/0/1/9/101978326/finalposter_2021asistannualmeeting.pdf Poster PDF]</b>).
+## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Exploring the computational recovery of the typographical logic of book indexes as paratext for improving navigation within digitized historical texts using semantic methods. Poster presented at the 2021 annual meeting of the American Society for Information Science and Technology.
 # <b>Documentary Series Knowledge Graphs resulting from the semantic indexing of time-based documentary media collections (series)</b>: This our most recently established project as we seek to generalize our semantic indexing method from sports image and video clip collections to collections ("series") of documentaries and other broadcast genres. Objectives:
 ## Our goal is to investigate models for the semantic indexing of broadcast series for granular access and semantic integration across the linked data cloud using data generated by ML/AI computational methods applied to the documentaries of the series.

@@ Line 22: / Line 22: @@
 ## [https://tinyurl.com/y5wcxqen Video of presentation] by Dr. MacCall to the 2020 Linked Data for Libraries (LD4L) conference
 # <b>Philology Graphs resulting from the semantic indexing of text collections</b>: The rapid growth in the number of digital texts has posed challenges for librarians to make them more navigable and usable. These challenges have prompted researchers to develop different approaches to create semantic descriptions for these resources aiming at more efficient and effective granular access to specific textual content. Ongoing work includes the challenge of computationally recovering the typographical logic of book indexes that is lost when standard page-level OCR scanning techniques are deployed on index pages in historical books hosted at the HathiTrust Digital Library. Recovering typographical logic would aid in the provision of granular access to digital texts through improving textual navigation. Additional information:
-## Liu, H., & MacCall, S.L. (2022). Historical Text Datafication and Loss: Computational Recovery of Typographical Layout Logic on an RDF Graph Featuring ML Methods. Conference paper presented at the 2022 ASIS&T Annual Meeting Pre-conference AI Workshop: [https://asistaiworkshop.web.illinois.edu/program-2022/ AI in the Real World: Strengthening Connections Between LIS Research and Practice] (<b>[https://ir-api.ua.edu/api/core/bitstreams/69a9a746-9003-4996-a5ec-d4597f1e762f/content?authentication-token=eyJhbGciOiJIUzI1NiJ9.eyJlaWQiOiI4OTU2MGI2OC1lNDAyLTRlNjItYTQ0Ni0zZGVjNTk5OWRiMzAiLCJzZyI6W10sImF1dGhlbnRpY2F0aW9uTWV0aG9kIjoicGFzc3dvcmQiLCJleHAiOjE3NjQ0NDUxMDl9.dSdbD07JZvo9UoICBQR1FAvDpWn1KqBVCNPlAHXUZUE presentation slides and speaker notes]</b>).
+## Liu, H., & MacCall, S.L. (2022). Historical Text Datafication and Loss: Computational Recovery of Typographical Layout Logic on an RDF Graph Featuring ML Methods. Conference paper presented at the 2022 ASIS&T Annual Meeting Pre-conference AI Workshop: [https://asistaiworkshop.web.illinois.edu/program-2022/ AI in the Real World: Strengthening Connections Between LIS Research and Practice] (<b>[https://ir.ua.edu/bitstreams/69a9a746-9003-4996-a5ec-d4597f1e762f/download presentation slides and speaker notes]</b>).
 ## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Knowledge Graph as Navigational Paratext: Returning Structural Semantics to a Closed System Index through the Computational Recovery of the Typographical Logic of Digitized Historical Book Indexes. Conference paper presented at Wissensorganisation 2021, biennial conferences of the German chapter of the International Society of Knowledge Organization (<b>[http://smaccall.people.ua.edu/uploads/1/0/1/9/101978326/ppt-final_liu-maccall-lewis-wissenpresoconf-presentation-2021.pdf presentation slides]</b>).
 ## Liu, H., MacCall, S.L., & Lewis, N.A. (2021). Exploring the computational recovery of the typographical logic of book indexes as paratext for improving navigation within digitized historical texts using semantic methods. Poster presented at the 2021 annual meeting of the American Society for Information Science and Technology. (<b>[http://smaccall.people.ua.edu/uploads/1/0/1/9/101978326/finalposter_2021asistannualmeeting.pdf Poster PDF]</b>).

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 ====Leadership====
 <b>[https://smaccall.people.ua.edu Steven L. MacCall, PhD]<br></b>
 Associate Professor<br>
 School of Library and Information Studies<br>
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 <b>Huapu Liu, MLIS, PhD<br></b>
 ====Mission====

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 <i>This website reflects research and development activities undertaken by the Research Group between 2018 and 2024.</i>
-For current information, email [https://smaccall.people.ua.edu Dr. Steven L. MacCall] at [mailto:smaccall@retiree.ua.edu smaccall@retiree.ua.edu] <br><br>
+<i>For current information, email [https://smaccall.people.ua.edu Dr. Steven L. MacCall] at [mailto:smaccall@retiree.ua.edu smaccall@retiree.ua.edu]</i> <br><br>
 [https://slis.ua.edu/ School of Library and Information Studies]<br>
 [https://cis.ua.edu/ College of Communication and Information Sciences]<br>