The world’s libraries. Connected. Classification & Visualization: Interfaces to Knowledge International UDC Seminar 2013, 25 October 2013 Rebecca Green,

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Presentation transcript:

The world’s libraries. Connected. Classification & Visualization: Interfaces to Knowledge International UDC Seminar 2013, 25 October 2013 Rebecca Green, OCLC Diane Vizine-Goetz, OCLC Marcia Lei Zeng, Kent State University Maja Žumer, University of Ljubljana

The world’s libraries. Connected. Modelling topic relationships in the DDC [Data format revision for topic relationships] [Use scenarios] Visualization of topic relationships in the DDC Application of visualization techniques to DDC

The world’s libraries. Connected. DDC in FRSAD, so far Each DDC class corresponds to a thema Notation associated with the class is the nomen Thema is the full category description of the class Nomen is the symbol (or surrogate) used to represent the full category description: dewey.info URI hierarchically contextualized caption Relative Index (RI) terms corresponding to functionally equivalent topics Data modeling – FRSAD – 1

The world’s libraries. Connected. All topics are themas All RI terms are nomens Topics can be related to: Classes (thema-to-thema relationship) Other topics (thema-to-thema relationship) RI terms (thema-to-nomen relationship) RI terms can be related to each other (nomen-to- nomen relationship) Extensions, set 1: All topics, Relative Index terms included Data modeling – FRSAD – 2

The world’s libraries. Connected. Topic-enhanced view themas on left nomens on right only portions in solid lines now systematically captured in DDC database Data modeling – FRSAD – 3

The world’s libraries. Connected. Topic-to-class relationship attribute: equivalence status Topic-reflecting text in class descriptions as parallel set of nomens (note: this is not a fully controlled vocabulary) Nomen-to-nomen equivalence relationships Between two synonymous RI terms Between an RI term and textual expression Extensions, set 2: Filling out the picture Data modeling – FRSAD – 4

The world’s libraries. Connected. Topics and their interrelationships (1) Data model, topic-to-topic

The world’s libraries. Connected. Topics and their interrelationships (2) Diabetes, comprehensive works Diabetes insipidus Diabetes mellitus Type 1 diabetes Type 2 diabetes Gestational diabetes Data model, topic-to-topic

The world’s libraries. Connected. Topics and their interrelationships (3) [Disciplinary contexts] Social services, Medicine, 610 Pediatrics Adolescent medicine ObstetricsTherapyDiet therapy Cooking, Data model, topic-to-topic

The world’s libraries. Connected. Relative Index (RI) terms and their interrelationships (1) Data model, RI-to-RI

The world’s libraries. Connected. Diabetes Diabetes mellitus Type 1 diabetes Diabetes mellitus (Type 1) Insulin-dependent diabetes Type 2 diabetes Diabetes mellitus (Type 2) Non-insulin-dependent diabetes Noninsulin-dependent diabetes Gestational diabetes Diabetes mellitus – pregnancy complications – obstetrics Relative Index (RI) terms and their interrelationships (2) Data model, RI-to-RI

The world’s libraries. Connected. Notation for / Caption of Class (1) Core thema-nomen relationship

The world’s libraries. Connected. NotationHierarchically-contextualized caption Social problems of and services to groups of people / People with physical illnesses / Medical services / Diabetes Medicine / Specific diseases / Diseases of endocrine system / Diabetes mellitus / Diabetes mellitus / Treatment Medicine / Gynecology and obstetrics / Diseases and complications of pregnancy / Diabetes Medicine / Pediatrics / Diabetes mellitus Cooking for people with medical conditions / People with diabetes Notation for / Caption of Class (2) Core thema-nomen relationship

The world’s libraries. Connected. Relative Index (RI) terms reflect Topics (1) Data model, topic-to-RI

The world’s libraries. Connected. Topics in Classes Data model, topic-in-class

The world’s libraries. Connected. Topic-in-class related to Topic-in-class (1) Data model, recursive topic-in-class

The world’s libraries. Connected *Diabetes mellitus Class here comprehensive works on diabetes Class diabetic nephropathies in For diabetes insipidus, see *Diseases of kidneys and ureters Class here diabetic nephropathies, nephrology Topic-in-class related to Topic-in-class (2) Data model, recursive topic-in-class

The world’s libraries. Connected. Relative Index (RI) term leads to Class Data model, RI-to-class

The world’s libraries. Connected. Searching against authority data... Related topics accessed through reference fields in record Headings presented in context of classes / subheadings Subheading can be expanded / collapsed Click on heading to access authority record Visualization – class-and- subheading-based arrangement

The world’s libraries. Connected. Visual overview of diabetes across the DDC (1) Visualization – class-based arrangement – pyramid view

The world’s libraries. Connected. Visual overview of diabetes across the DDC (2) Visualization – class-based arrangement – pyramid view

The world’s libraries. Connected. Alternative view of diabetes across the DDC Visualization – class-based arrangement – matrix view (1)

The world’s libraries. Connected. Drilling down from (1) Visualization – class-based arrangement – matrix view (2)

The world’s libraries. Connected. Drilling down from (2) Visualization – class-based arrangement – matrix view (2)

The world’s libraries. Connected. LDR nz###n## ​ 001 och ​ 003 OCoLC-D ​ ​ |||a|z||||||##########||#a||#####d ​ 040 ## $a OCoLC-D $b eng $c OCoLC-D $d OCoLC-D $f ddcri ​ $a $0 (OCoLC-D)ocd $2 23 $5 OCoLC-D $9 as=AP $9 ps=PE $9 cts= T09:17:36Z-Rebecca Green ​ 150 ## $a Type 1 diabetes ​ ​ 550 ## $w g $a Endocrine diseases $x humans $0 (OCoLC-D)och $2 23 $9 ra=AP $9 rv=PE $9 cts= T19:30:18Z-Joan Mitchell $9 uts= T20:40:30Z-Rebecca Green ​ 670 ## $a LCSH. $b Type 1 diabetes $0 (DLC)sh $ # $2 23 Representative authority record

The world’s libraries. Connected. Topics play key role in: DDC data model Uses of DDC, e.g., End-user discovery Editorial maintenance Topic relationships are many + varied = complex Visualization techniques address need to control topics to support use of DDC Conclusion

The world’s libraries. Connected. Questions?