Sánchez-Alonso, S. and Athanasiadis, I. (eds.) Metadata and Semantic Research. 4th International Conference MTSR 2010, Communications in Computer and Information Science 108. Heidelberg: Springer, 2010, 84-94.

1. 1
Application of semantic tagging
to generate superimposed
information on a digital
encyclopedia
4th
Metadata & Semantics Research Conference
(MTSR 2010)
20-22 October 2010
P. Garrido1
, J. Tramullas2
, F. J. Martínez1
1
Department of Computer Science and Systems Engineering
2
Department of Librarianship and Information Science
University of Zaragoza

2. 2
This research work proposes the automated
processing of textual documents with historic
information, in Spanish language, using free software
technologies
4th
Metadata & Semantics Research Conference
(MTSR 2010)
WHAT?

3. 3
WHERE ?
The online Gran Enciclopedia Aragonesa (GEA, the
Great Aragonese Encyclopaedia)
XML labels
<voz> </voz>
<vozId> </vozId>
<nombre> </nombre>
<descripcion> </descripcion>
Voices Table 2. Input Voice Labels
4th
Metadata & Semantics Research Conference
(MTSR 2010)

4. 4
Index
(alphabetical order)
Categories &
Subcategories
(topic)
Common Integrated
Form

5. 5
WHY ?
4th
Metadata & Semantics Research Conference
(MTSR 2010)
Analysis of GEA is important because:
(i) it requires continuous updating
(ii) the analysis of the Spanish language is very interesting and unusual
(iii) it promotes technology transfer (universities & enterprises)
AIMS
Dynamic version
(Product)
R+D+I (Project)

6. 6
WHICH ?
4th
Metadata & Semantics Research Conference
(MTSR 2010)
● Facilitate the task of automating the
documentary analysis of content
(semantic description) with this kind of
textual documents,
● Permit a more thorough representation
of the contents,
● Increase the possibilities of retrieving
requested information,
● Adapt their use to each user’s needs.
Combining several models helps accomplish richer semantics to
subsequently enable simpler indexing, and allows more efficient search
processes.

7. 7
HOW ? (I)
4th
Metadata & Semantics Research Conference
(MTSR 2010)
● reading and interpreting the text,
● detecting relevant information,
● extracting it,
● shaping the association among entities or for an
entity-related event,
● storing it in one or several ways.
The algorithm used for automatic processing purposes
must be capable of:

8. 8
HOW ? (II)
4th
Metadata & Semantics Research Conference
(MTSR 2010)

9. 9
HOW ? (III)
4th
Metadata & Semantics Research Conference
(MTSR 2010)

10. 10
HOW ? (IV)

11. 11
HOW ? (& V)
4th
Metadata & Semantics Research Conference
(MTSR 2010)
Input
Voice
(a)
A lg o r it h m ( t a b le 4 )
Output
Voice
(b)
(topic-oriented approach)
(subject-centric computing)
(superimposed information)
(AI techniques)

12. 12
PERFORMANCE EVALUATION
4th
Metadata & Semantics Research Conference
(MTSR 2010)
Numbers/Algorithms First-level Second-Level
Voices analyzed 192 192
Associations Hundreds Thousands (3392)
Events Dozens Hundreds (897)
Reliability 70% 90%
NOTE: An example trace is available in http://e-archivo.uc3m.es/bitstream/10016/4945/1/Tesis.pdf
(pages 324-328)

13. 13
CONCLUSIONS (I)
4th
Metadata & Semantics Research Conference
(MTSR 2010)
● Enhance user-friendliness, especially with non-specialised
users,
● Capture the search that this work contemplated in natural
language without having to simulate a performance,
● Merge it with other types of external information sources
With the proposed architecture we managed:

14. 14
CONCLUSIONS (& II)
4th
Metadata & Semantics Research Conference
(MTSR 2010)
● The peculiarities of the Spanish language, such
as semantic ambiguity and the wide spectrum of
available linguistic formulae to express the same
thing.
● Restructuring the volume of information to work
properly.
Our proposal provides a framework within ’things’ can be
represented as they are.
With the incorporation of Artificial Intelligence techniques in
the algorithm, we provide coverage of:

15. 15
4th
Metadata & Semantics Research Conference
(MTSR 2010)