Edmundo Tovar, Nelson Piedra, Jorge Lopez, Janeth Chicaiza

1. Edmundo
Tovar,
Nelson
Piedra,
Jorge
López,
Janeth
Chicaiza
Bali
Indonesia
May
8-­‐10,
2013
Serendipity
a
Faceted
Search
engine
for
OpenCourseWare
Content
@nopiedra
#ocwcglobal
#OCW
#OER
#Serendipity
#UTPL

2. The main purpose of the service developed is to
provide students, teachers and self-learners with
an faceted search engine that allow them to find
and discover open educational resources related
to OCW from OpenCourseWareConsortium and
OCW-Universia.
Purpose
of
Serendipity

3. Faceted search, also called faceted navigation, is a
technique for accessing content organized according to a
faceted classification system, allowing users to
explore a collection of information by applying
dynamic and multiple filters.
With the benefit of search results diversification, no need
for a priori knowledge, and never leading to zero result, it
can significantly reduce information overload.
About
Faceted
ExploraDon

4. Facets refer to categories used to characterize
information items in a collection.
A faceted classification system classifies each
information element along multiple explicit dimensions,
enabling the classifications to be accessed and ordered
in multiple ways rather than in a single, pre-determined,
and taxonomic order.
Facets
and
taxonomic
order

5. Faceted exploration is a proven technique for supporting
flexible exploration and discovery through the information
space.
The user can refine queries based on facets such as
size, language, knowledge-domain, geographic
localization and neighbourhood characteristics. The
facets are extracted by applying a parser specialized for
parsing classified content.
Refine
queries
based
on
facets

6. Serendipity
is
for
people
Serendipity is an faceted search engine based on Semantic
Web Technologies. Open Linked Data from Open Educational
Content. Current version of Serendipity is based on Flamenco.

7. Serendipity is an faceted search engine based on Semantic Web
Technologies. Serendipity is based on Flamenco.
The main objectives of faceted navigation are to support flexible
navigation through the information space: refining and expanding,
provide suggestions of exploration choices at each point in the
search process, prevent empty result sets, and provide a sense of
control and reduce confusion in the use.
About
Serendipity

8. Serendipity use Linked Data Design Issues
to retrieve information that is semantically
described and related to open educational
resources (OER) that are accessible via
Internet. Linked data have the potential of
create bridges between OER data silos.

9. The collection under study consisted of approximately
8000 OpenCourseWare in the collection of the OCW-
Dataset of LOCWD Project.
This collection contained standard OER metadata facets,
including creators names, language, licenses of OCW,
repositories, tags, knowledge areas, universities,
countries and dates.
CollecDon
PreparaDon

10. The data extracted by Serendipity been validated
through the sponsorship and collaboration of
OpenCourseWare Consortium.
Sponsorship
from
OCWC

11. i.
Faceted
Query
of
OCW
based
on
Linked
OpenCourseWare
data
CASE:
FIND,
OpenCourseWare
about
“Web”

12. The Serendipity faceted exploration is a guided
and exploratory search mechanism, which
provides an iterative way to refine search results
by a faceted taxonomy or a schema of
classification.
Serendipity
facet
exploraDon

13. hRp://serendipity.utpl.edu.ec
Serendipity
is
an
OCW
faceted
search
engine
based
on
SemanVc
Web
Technologies.

14. Guided navigation Previews
of Results
Refine search
Add keywords
With
Serendipity
Explore
OCW
in
an
integrated
and
incremental
manner,
from
any
of
the
repositories
of
insVtuVons
that
publish
OpenCourseWare.

15. The user, when presented with the facets, is
likely to discover new facets of the query that
they were not aware of before.
When clicking on a facet, they will narrow down
their search by expanding the original query with
the suggested facet.
Discover
new
facets
by
expanding
the
original
query

16. Facets
Share this OCW
Inspect current OCW
Refine your search
Access
the
full
descripDon
of
the
courses
as
published
by
the
home
insVtuVon,
along
with
complimentary
informaVon
such
as
language,
license,
author,
country,
geographic
locaVon
of
the
insVtuVon
and
other
semanVcally
related
informaVon
available
via
the
Web.
Propose change

17. Inspect the result from
OCW original site
Get
more
accurate
and
complete
results,
since
it
locates
OCWs
using
different
metadatas
and
data
elements,
providing
the
user
with
visible
opVons
that
help
clarify
and
refine
the
queries.

18. Link current OCW
to
Other LinkedData Source

19. ii.
Map
to
visualize
OER
Points
of
Interest

20. As an important feature of Serendipity,
Serendipity POIs (Points of Interest), allows
users visualize data of OCW/OER/MOOC/OEP/
Projects/Repositories from an dataset based on
Linked Data technologies.
About
Serendipity
POIs

21. Serendipity POIs use icons to represent different categories of POI on a map
graphically. A
point
of
interest,
or
POI,
is
a
OER
specific
point
locaVon
that
someone
may
find
useful
or
interesVng.

22. A
point
of
interest
specifies,
at
minimum,
the
laDtude
and
longitude
of
the
POI,
assuming
a
certain
map
datum
(extrated
from
serendipity
datasource).
A
name
or
descripVon
for
the
POI
is
usually
included,
and
other
informaVon
such
as
descripVon,
number
of
resources,
contact
informaVon,
language,
license
or
a
link
to
dbpedia/
freebase
may
also
be
aRached.

23.
An
example
is
a
point
on
the
Earth
represenVng
the
locaVon
of
the
MassachuseRs
InsVtute
of
Technology,
or
a
point
on
Spain
represenVng
the
locaVon
of
an
OCW
University.

24. Other
example
is
a
point
on
the
Earth
represenVng
the
locaVon
of
the
University
of
Cape
Town

25. Serendipity use the term POIs when referring to Open Repositories of
OCW/OER/OEP/Projects, Open Data for educational content, MOOCs or
any other categories used in open educational systems.

26. iii.
Open
Data
from
Open
EducaDonal
Content

27. Serendipity POIs seeks to become a
repository for the information about OER
that the Serendipity Multiagent Environment
collects.
Therefore, the site would publish to the
public any data collected that is not private
or restricted.
CollecDng
and
downloading
OER
Data

28. Serendipity Open
Data
is
the
idea
that
certain
data
should
be
freely
available
to
everyone
to
use
and
republish
as
they
wish,
without
restricVons
from
copyright,
or
other
mechanisms
of
control.

29. Why
publish
Linked
OER
Data?
• Because
LinkedData
holds
the
potenVal
to
move
our
OER
collecVons
out
of
their
silos
• Open
the
data
and
content
silos,
to
leverage
the
knowledge
capital
represented
by
our
OER
repositories
• To
enrich
our
informaVon
landscape,
to
improve
visibility
• To
improve
ease
of
discovery
open
academic
resources
• To
improve
ease
of
consumpVon
and
reuse
of
OCW
• To
reduce
redundancy
in
searched
of
OER
• PromoVng
innovaVon
and
Added
Value
to
Open
EducaVonal
Content

30. iv.
Suggest
new
Points
of
InformaDon

31. The purpose of Serendipity POIs - Open
data
is to increase public access to
high value, machine readable datasets generated by volunteers and data
extracted from Serendipity multiagent environment.

32. v.
Data
visualizaDon

33. Why
OER
DataViz?
Serendipity POIs - Open
data
contains
valuable
informaVon
that
will
drive
insights,
innovaVons,
and
discoveries,
but
it
can
be
difficult
to
access
and
digest.
Using
data
visualizaVon,
we’re
simplify
the
complexity
and
drive
a
deeper
understanding
of
the
open
educaVonal
context.

34. The
main
goal
of
data
visualizaDon
is
its
ability
to
visualize
OER
data,
communicaVng
informaVon
clearly
and
effecVvelty.

35. Data
VisualizaDon
1.
It
shows
informaVon
of
UniversiVes
classified
hierarchically,
taken
starVng
point
to
conVnents,
then
countries,
ciVes
and
universiVes

36. Data
VisualizaVon
2:
Tree
structures
to
show
another
way
to
visualize
the
informaVon
the
universiVes
members
of
OCW
iniVaVves.

37. Data
VisualizaVon
3:
Search
courses
by
tag
and
use
geographic
informaVon
to
show
courses
of
universiVes
and
social
network
analysis
(SNA)
to
form
networks
of
collaboraVon
and
recommend
related
tags

38. @nopiedra
#ocwcglobal
#OCW
#OER
#LOCWD
#LinkedData
#UTPL
Thanks!
@nopiedra,
@etc91