Managing electronic resources has become a distinctive and important task for libraries in recent years. The diversity of resources, changing licensing policies and new business models of the publishers, consortial acquisition and modern web scale discovery technologies have turned the market place of scientific information into a complex and multidimensional construct. A state-of-the-art management of electronic resources is dependent on flexible data models and the capability to integrate most heterogeneous data sources. AMSL project presentation held on ERM Workshop @ ELAG 2014, Bath, UK

1. Developing an ERM System
based on Linked Data
ERM Workshop @ ELAG 2014
Lydia Unterdörfel, Björn Muschall, Leipzig University Library

2. Challenges
➔ variety of information
serials, databases, e-books, packages, contacts, statistics,
contracts, license terms, terms of use, vendors,
consortias...
➔ heterogenious formats & sources
COUNTER XML, EXCEL (title lists from vendors), MS-
WORD (contracts, invoices), PDF(contracts, invoices), RDF
(ZDB title information), ONIX-PL (licenses)
➔ changing business models and publication formats

3. Mandatory Features
1. WORKFLOW MANAGEMENT: Support across e-resource life cycle
(resource tracking, reminders, status assignments, communication)
2. LICENSE MANAGEMENT: Manage license details, provide storage for
agreements, display license terms for internal and external users
3. STATISTICS MANAGEMENT: Obtain, gather and organize usage statistics.
auto-download statistics using -SUSHI standard. Provide historical statistics
4. ADMINISTRATIVE INFORMATION STORAGE: Store and access
administrative information (usernames, passwords)
5. RESOURCE AND PACKAGE MANAGEMENT: representation of local
holdings, titel-package matching, linking of title - package - license (terms)

4. Application Qualities
➔ integration of heterogeneous data formats
in a flexible, uniform data model
➔ linking all relevant information
➔ interoperability across systems
➔ adjustments done by systems librarians
➔ generic ‘toolkit’

5. Regarding the ERMI report
➔ Electronic Resource Management Initiative
➔ created 2004 by Digital Library Federation
➔ very detailed considerations and dictionary
➔ http://old.diglib.org/pubs/dlf102/

6. Linked Data
➔ a method to publish and interlink structured data
➔ applied by using the Resource Description Framework (RDF)
specifications
➔ four principles:
1. Use URIs to identify things
2. Use HTTP URIs so that these things can be referred to
3. Provide useful information about the thing when its URI is
dereferenced, using standards such as RDF, SPARQL.
4. Include links to other related things (using their URIs)

7. A new ontology
➔ to publish linked data you can use classes
and properties of established ontologies,
which exist for a variety of purposes
➔ if they do not meet your needs, it is time for
your own ontology!

8. AMSL ONTOLOGY
➔ reuse existing ontologies:
bibo, dc, umbel, aiiso, owl, foaf, vcard...
➔ create new ones:
favor using ERMI dictionary
COUNTER launched soon
http://vocab.ub.uni-leipzig.de/bibrm

9. Linked Data Tool: OntoWiki
➔ facilitates the visual presentation of RDF
➔ create, edit and link RDF content with a GUI
➔ build appropriate forms based on your ontology
easily with form builder
➔ developed by the Research Group Agile Knowledge
Engineering and Semantic Web (AKSW) hosted by
the Univerity of Leipzig

10. Data Integration
➔ Importing RDF Data is a core feature of
OntoWiki
➔ Format migration will be done by middleware
(by SLUB Dresden)

11. More information
http://amsl.technology
English information coming soon!
http://vocab.ub.uni-leipzig.de/bibrm

13. OntoWiki Application Framework
●

14. strictly open source
● based on OntoWiki (GPL)
● all software-development takes place in the
official OntoWiki source code repository
site: http://ontowiki.net/
repo: https://github.com/AKSW/OntoWiki

15. partners
OntoWiki Development and Linked Data Technology :
AKSW - Agile Knowledge management and Semantic Web
/ Institute for applied informatics InfAI e.V.
http://infai.org
Data integration and versatile data conversion:
SLUB - Saxon State and University Library Dresden
http://www.slub-dresden.de