CSCI8380 (Spring 2012): Paper Review Form

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21 Οκτ 2013 (πριν από 3 χρόνια και 5 μήνες)

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CSCI8380 (Spring 2012):
Paper Review Form



Reviewer Name:

Raga Sowmya Tummalapenta


Paper Name:

Enrichment and Ranking of the YouTube Tag Space

and Integration with the Linked Data Cloud


Section I. Overview



A. Reader Interest




1. Which category
describes this manuscript?




X

Practice/Application/Case Study/Experience Report




X
Research/Technology



___Survey/Tutorial/How
-
To



B. Content




1. Please explain how this manuscript advances this field of research and/or contributes
something

new to the literature.



This paper describes a framework for semantic enrichment, ranking and integration of
web video tags using Semantic Web technologies. This semantic enrichment bridges the gap
between the uncontrolled and flat structures typically f
ound in user
-
generated content and
structures provided by the Semantic Web.

Further the Multi
-
dimensional context filtering for tag expansion makes the tag ranking
much easier providing less ambiguous tags to concept matching.


C. Presentation



1.


Does the introduction state the objectives of the manuscript in terms that encourage
the reader to read on?



__

Yes



_
X
__Could be improved



___No




2. How would you rate the organization of the manuscript? Is it focused? Is the length
appropriate for
the topic?





X

Satisfactory



___Could be improved



___Poor




3. Please rate and comment on the readability of this manuscript.



___Easy to read





X

Readable
-

but requires some effort to understand



___Difficult to read and understand



___Unreadable



Section II. Evaluation




Please rate the manuscript. Explain your choice.



___Award Quality



___Excellent




X
Good



___Fair



___Poor

Section III. Detailed Comments

(provide your thoughts/criticism about the ideas in the
paper
; not
only summarize the paper but have a critical look here
)



Summary:



Current techniques to retrieve, integrate and present this media to users

are
deficient and could do with improvement
.

This paper describes a framework
for semantic enrichment, ranking
and
integration of web video tags

using Semantic Web technologies
.
Tag

enrichment is done
using

various contextual a
nalyses of the video.

Further the paper proposed a
tag
-
ranking algorithm
that is
performed over a local
tag graph

by means of spreading act
ivation
.

This paper also
described the tag
-
to
-
resource mapping (with DBpedia as our
semantic repository) and outlined how

Linked Data principles can aid with linking to
user
-
generated video content.


Additional Comments:

1.

P
rovide

one aspect that you liked
the most in this paper.


The aspect I liked the most is t
he idea of using semantic web technologies

for semantic enrichment, ranking and integration of web video tags. Further the
paper is neatly and clearly arranged making it easier to read.


2.

P
rovide

one
aspect that you disliked the most in this paper.


An overview of the ideology is easier to understand but the paper lacks the
actual implementation
details, which

could have been explained

in more detail.


Section I
V. Discussion Points

(provide at least 3
discussion
topics/questions

related to
ideas/techniques described in the paper;

these will be used for discussions in the class)


1).
How scalable is the given approach?


2).
Other than DBpedia, can the given approach be used with other

resource repositories
?


3).
Does the multi dimensional context filtering for tag expansion really make the tag
ranking much easier?