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Title: Topic Maps & Digital Library Applications - Bibliography Presentation


1
Topic Maps and Applications in Digital Libraries
2
Scope Domain
  • Articles in English appearing during 2006-2010
    about the use of topic maps in libraries and in
    applications relevant to digital libraries and
    library services.
  • Topic Map was searched in the following Dbs
  • Academic OneFile
  • JSTOR
  • Research Library
  • Science Direct

3
Themes
  • Topic Maps and
  • Libraries
  • Related Tools
  • Searching
  • Learning

4
Libraries
5
Lourdi, 2006 A multi-layer metadata schema for
digital folklore collections
  • Topic Maps helpful for managing heterogeneous
    collections
  • Ex Digital folklore collections
  • Handwritten texts
  • 3D Objects
  • Sound recordings
  • Discusses
  • Interoperability between metadata schemas
  • Presents
  • Topic Map approach for developing metadata
    mappings

6
Inglesias, 2007 Topic maps and the ILS An
undelivered promise
  • Overview of current Topic Map use in library
    field
  • As part of ILS
  • Addresses Topic Maps
  • Potential
  • Challenges
  • Findings
  • Converting MARC data into Topic Map standard is
    difficult
  • Vendors and libraries need to find ways to
    structure data for easier conversion
  • Unnecessarily-high barrier to entry
  • More training material and software needed

7
Searching
8
Yi, 2008 Information organization and retrieval
using Topic Maps-based ontology results of a
task-based evaluation
  • Question
  • How does a Topic Maps-based ontology approach
    affect users searching performance?
  • Recall Search time
  • Compared to thesaurus-based retrieval system
  • Results
  • Topic Maps-based ontology had significant and
    positive effect on both recall search time
  • Implications
  • Information Retrieval System designs would
    benefit from a Topic Maps-based ontology

9
Related Technology
10
Dotsika, 2010 Semantic APIs Scaling up towards
the Semantic Web
  • Topic Maps are similar to Resource Description
    Framework (RDFs)
  • Semantic Applications Programmers Interface (API)
  • Turns unstructured text (from websites, etc.)
    into a contextual framework
  • Information discovery
  • Generates XML code (mostly RDF)

11
Dotsika, 2010 Semantic APIs Scaling up towards
the Semantic Web
  • Topic Maps API
  • Topic Map API Interfaces (In development)
  • User-friendly topic map applications (in
    development)
  • Semi-automatically generate Topic Maps
  • Currently no Semantic APIs supporting Topic Maps
  • Topic Maps Semantic Tagging
  • Not yet standardized
  • High level of modeling power / granularity
  • No browser support, XHTML attributes
  • Medium level of simplicity
  • Moderate implementation costs

12
Newman, 2010 Visualizing search results and
document collections using topic maps
  • Explores 2D visualizations of Topic Map search
    results
  • Visualizing document collections reveals semantic
    structure
  • Allows a better understanding of an entire set of
    results
  • Vis. Doc. Collns (Contd)
  • Avoids search results that are too broad or too
    narrow
  • Allows better understanding of relationships
    between various lines of research

13
Newman, 2010 Visualizing search results and
document collections using topic maps
  • Discussion
  • Techniques for assessing Topic Maps validity and
    accuracy
  • Challenges of producing useful 2D maps of
    documents
  • Conclusions
  • Global Topic Map visualizations less useful
  • Local Topic Map visualizations better for
    navigating collections
  • Shows only a few dozen closely related documents

14
Kim, 2007 A methodology for constructing of
philosophy ontology based on philosophical texts
  • Method for using Topic Maps to construct a
    philosophy ontology based on philosophical texts
  • Ontology
  • Explicit formal specification of terms, which
    represent the intended meaning of concepts, in
    the domain and relations among them.
  • Primary goal of ontology
  • Share and reuse domain knowledge among people or
    machines, i.e. software
  • Crucial factor for the success of many
    knowledge-based applications
  • Semantic Web
  • Data Warehouse
  • Knowledge Mgmt. Sys.
  • E-Commerce
  • E-Learning

15
Kim, 2007 A methodology for constructing of
philosophy ontology based on philosophical texts
  • Problem
  • Developing ontologies within real-world knowledge
    domains takes huge efforts
  • Solution?
  • Ontology mgmt. system based on Topic Maps
  • Mgmt. system can be applied to other learning
    domain ontologies
  • History
  • Literature
  • Arts
  • Music

16
Dotsika, 2009 Uniting formal and informal
descriptive power Reconciling ontologies with
folksonomies
  • Ontologies and folksonomies are currently the
    webs main classification schemes
  • Ontologies formal, top-down, slow-growing
  • Folksonomies informal, bottom-up, fast-growing
  • Adoption of a standard to reconcile the two
  • Create quality assurance
  • Enhance web information quality and findability

17
Dotsika, 2009 Uniting formal and informal
descriptive power Reconciling ontologies with
folksonomies
  • Available standards
  • Topic Maps
  • RDFs
  • Problem
  • Ontologies and folksonomies are too different
  • No common framework for quality assurance possible
  • Interim-Solution
  • Attempt to identify requirements for integrating
    ontologies and folksonomies

18
Learning
19
Dicheva, 2006 TM4L Creating and browsing
educational topic maps
  • Information seeking
  • Task-performing information support
  • Information need, task-oriented, requiring a
    strategy
  • Difficult on Web
  • Results often inaccurate, biased, dated, or
    superficial
  • Ontologies can aid information seeking
  • Concepts relations-driven
  • Improves info. exploration
  • Topic Maps as ontologies for Web learning
  • Framework for TM-based Learning Repositories
  • TM4L

20
Shih 2007, Organizing learning materials through
hierarchical topic maps An illustration through
Chinese herb medication
  • Topic Maps for digital learning
  • Compiling diverse material
  • Comprehensive view of concepts and their
    interrelationships
  • Self-Organizing Maps (SOM) and Topic Maps
  • Both text-mining techniques
  • Used together
  • Automatically generate professional learning
    materials
  • Turn large amounts of information into useful
    learning resources ()

21
Venkatesh, 2008 Topic Maps as indexing tools in
E-Learning Bridging theoretical practical gaps
between information retrieval and educational
psychology
  • Investigates the use of topic map technologies in
    an online course management system
  • Case study
  • 38 graduate students
  • Topic Map in use at large N. American University
  • Assignment browse repository of essays to
    compile ill-structured essay task

22
Venkatesh, 2008 Topic Maps as indexing tools in
E-Learning Bridging theoretical practical gaps
between information retrieval and educational
psychology
  • Results (gathered from interviews and log files)
  • Topic Maps semantic nature
  • Improved performance and task understanding
  • Enabled pursuit of distinct browsing paths based
    on individual level of task understanding
  • Topic Maps useful for Course Mgmt. Systems
  • Subject-centric
  • Identifies core concepts
  • Searchability
  • Associative
  • Links topics for easy knowledge-acquisition
  • Classificatory
  • Allows for step-by-step learning approach

23
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24
References
Dicheva, D., Dichev, C. (2006). TM4L Creating
and browsing educational topic maps. British
Journal of Educational Technology,
37(3), 391-404. doi 10.1111/j.1467-8535.2006.0061
2.x Dotsika, F. (2009). Uniting formal and
informal descriptive power reconciling
ontologies with folksonomies. International
Journal of Information Management, 29(5),
407-415. doi 10.1016/j.ijinfomgt.2009.02.002 Dot
sika, F. (2010). Semantic APIs Scaling up
towards the Semantic Web. International Journal
of Information Management, 30(4), 335-342.
doi10.1016/j.ijinfomgt.2009.12.003 Iglesias,
E., Hye, S. (2008). Topic maps and the ILS an
undelivered promise. Library Hi Tech, 26(1),
12-28. doi 10.1108/07378830810857753 Kim, J.,
Choi, B., Shin, H., Kim, H. (2007). A methodology
for constructing of philosophy ontology based on
philosophical texts. Computer Standards
Interfaces, 29(3), 302-315. doi10.1016/j.csi.2006
.04.003 Lourdi, I., Papatheodorou, Christos.,
Nikolaidou, M. (2007). A multi-layer metadata
schema for digital folklore collections. Journal
of Information Science, 33(2), 197-213. doi
10.1177/0165551506070711 Newman, D., Baldwin,
T., Cavedon, L., Huang, E., Karimi, S., Martinez,
D., Scholer, F., Zobel, J. (2010). Visualizing
search results and document collections using
topic maps. Web Semantics Science, Services and
Agents on the World Wide Web, 8(2-3), 169-175.
doi 10.1016/j.websem.2010.03.005 Shih, B.-J.,
Shih, J.-L., Chen, R.-L. (2007). Organizing
learning materials through hierarchical topic
maps an illustration through Chinese herb
medication. Journal of Computer Assisted
Learning, 23, 477-490. doi 10.1111/j.1365-2729.20
07.00230.x Venkatesh, V. (2008). Topic maps as
indexing tools in e-learning bridging
theoretical and practical gaps between
information retrieval and educational psychology.
International Journal of Advanced Media and
Communication, 2(3), 221-235. doi
10.1504/IJAMC.2008.020177 Yi, M. (2008).
Information organization and retrieval using a
topic maps-based ontology Results of a
task-based evaluation. Journal of the American
Society for Information Science and Technology,
59(12), 18981911. doi 10.1002/asi.20899
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