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Visualisation of Semantic Enrichment

Alexa Schlegel1, Ralf Heese1, Annika Hinze2

1Freie Universitaet Berlin, Germany aschle, heese @inf.fu-berlin.de

2University of Waikato, New Zealand hinze@cs.waikato.ac.nz

Abstract: Automatically creating semantic enrichments for text may lead to annotations that allow for excellent recall but poor precision. Manual enrichment is potentially more targeted, leading to greater precision. We aim to support non- experts in manually enriching texts with semantic annotations. Neither the visualisation of semantic enrichment nor the process of manually enriching texts has been evaluated before. This paper presents the results of our user study on visualisation of text enrichment during the annotation process. We performed extensive analysis of work related to the visualisation of semantic annotations. In a prototype implementation, we then explored two layout alternatives for visualising semantic annotations and their linkage to the text atoms. Here we summarise and discuss our results and their design implications for tools creating semantic annotations.

1 Introduction

With semantic technologies, annotations are no longer about the content (as in Web 2.0 tagging) but become part of the content. Such semantic enrichment typically consists of an annotated text passage (text atom) and related information (annotation). Clear visualisation of enrichment, that is, indication of text atom and linkage to annotation, is important for both the definition of annotations and the reading of enriched text.

Furthermore, it is essential for the acceptance of semantic technologies that non-experts are enabled to produce and consume semantically enriched content.

Here we focus on the visualisation of enrichment during the annotation process. To the best of our knowledge, neither the visualisation of semantic enrichment nor the process of manually enriching texts has been evaluated before. Additionally, research on presentation of semantically annotated documents typically targets the rather passive reception aspects of data visualisation. Our research is motivated by experiences in two projects, TIP and loomp, addressing the annotation of content by non-experts. TIP is a mobile tourist information system that provides different information depending on a user’ interests [Hin09]. Textual information in TIP has to undergo a semantic enrichment process to be prepared for this interest-based filtering [Hsi08]. Loomp is a tool for the management of semantic enrichment, which we applied to texts (predominantly) relating to museums and their exhibitions [Luc09]. In loomp, users enrich texts semantically by linking text passages to concepts, thus forming annotations with additional, structured

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(4)

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(7)

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(8)

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Fig

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styles. How main probl they typica The exam correspond annotation possible). T been evalu

mobile touris sers in the sem re then stored n in this categ ound patterns ked to the com

interface was

gure 9: TIP imp

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ined several t a background s). In contrast, the most freq wever, only fe lem is distingu ally use the sa mined tools

ding atoms. A ns and atoms.

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st information mantic mark-u d separately to gory. In the im s (see Figure mplete text, TI

evaluated in a

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typically ap Additionally,

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n system [Hi up of texts. Th o be available mport service,

9). Because IP avoids som a simple pape

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the use of th me of the disp er prototype st

(left) and conce

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f overlapping ategory of ann

ns to annot highlight cor he related ato annotation int rted in [Hsi08

port service h annotation ed in tourist re indicated tation is no ced by other

ght)

9]. It uses a isplayed on cent ones).

ht atoms by cal elements ms could be mixed font atoms. The notation (as

otation and rresponding oms (where

terfaces has 8].)

(9)

4 Imp

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We explor implement atom withi colour of purple=his are highlig speech bub atom in a category o and the an relationshi may overla portion of Semantic a technologi with both i phase, par During the longer text decisions i Each study

plementatio

mented syste on of text at were included as the ones u multi-media o

system needs n sets (such as had to be co ries.

Figure 10: B

red the two a ted as simple in the text is f the bar r story). The ba ghted by a mou

bble near the coloured fra of the annotati nnotation appe ps between at ap or be adjac text was restri annotations ar es. We theref interfaces (alt rticipants fami e application

t. The partici in interaction y concluded w

on and Stud

m was purpo toms and the to make the used in TIP an objects), wher s support for s expressed b nsidered; how

Bar layout

alternatives of prototypes us indicated by reflects the ars are ordered use-over of th

atom. The bo ame (Figure 1 ion. The back ears as a spee toms and anno cent (see Sect

icted to three re meant to b fore observed ternatively sta iliarized them phase, they h pants were en with the proto with a guided i

dy Setup

ose-built to ex eir linkage to system suitab nd loomp. The re annotations categories, th by different o wever, each c

f bar layout a sing HTML a a vertical ba annotation d by length an he correspondi

order layout h 11), where th kground colou

ech bubble. B otations, and f tion 2). The n

and the numb be created by d 12 non-exer arting with ba mselves with t had to execut ncouraged to otype, instead interview.

xplore two la o annotations ble for annota e main usage s may span ov hat is, be able

ntologies). O category may

Figure 1

and border lay and JavaScript ar in the left m

concept (e.g nd order in th ing bar and th highlights ann he colour corr ur of an atom Both layouts a

for atoms to s number of atom ber of categori

non-experts w rt participants ar or border la the system usi

te a number o think out lou d of asking for

yout alternati . The follow ations of tour scenario is an ver a few wor to explicitly nly a limited have several

11: Border Layo

yout. Both la t. In the bar la margin (Figur g., orange=a he text. Atoms e annotations notations by en

responds to th changes on m allow for man span several li

ms overlappin ies to four.

with respect t s (P1 to P12) ayout). During

ing a short pr of annotation ud as they we r the ‘correct’

ives for the wing design

rism-related nnotation of rds or some distinguish number of (up to ten)

out

ayouts were layout, each re 10). The architecture,

s in the text appear as a nclosing an the selected mouse-over ny-to-many ines. Atoms ng the same

to semantic interacting g a learning ractice text.

n tasks on a were making

’ procedure.

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5 Stud

We here br Atom defi Three part particular, annotate ` Restricting meaningfu acceptable (e.g., the n create cros on semanti Layout an the bars’ p definitely some bars (depending She addit depending the bars to largest to smallest to People wh that it wou belonging design was text.

Interactio annotation text were a left to find of the 12 p thought it click the ri borders. Th Clarity of interview, clearly arra equivalent agreed and This indica

dy Results a

riefly summar inition: All 1 ticipants noted

P3 wished to

`Beton’ (Eng g selections t ul atoms but i atoms. Two name `Daniel ss-references b

ic annotations nd ordering o position in the

on the left-h s to the left a

g on the posi tionally sugg on length or o be ordered b smallest (Fig o largest (Figu ho preferred o uld be easier

to the small s clearer whe

n with bars a ns. During ann already annota d out what wa participants fe was not quite ight border” ( hree were und f layout: On a 6 mainly agr anged.” (1/2/3

question abou d 2 partially a ates that partic

and Discus

rise the main f 2 participants d that it was o select `Libes

gl: concrete) to whole wo in this cases participants (P

Libeskind’ a between atom s.

of bars: 11 o left-hand ma and side!”).

and others to tion of the at gested placing

category. All by length. Sev gure 12, top), ure 12, bottom ordering large to identify th ler bars. The en the longer

and borders:

notating, they ated. P8 remar as already ann lt it was very e easy, as the (P9). P10 exp decided.

a 5-point Liker reed and 4 agr 3 started with

ut the clarity o agreed (4/1/1 cipants seem t

ssion

findings of ou s found it eas not possible skind’ (as par within `Be ords was sup

prevented th P2, P10) wish and the profe ms was also ob

of 12 participa argin (P5: “Ne P4 suggested o the right of

tom within ea g bars left l participants ven suggested , four sugges m); one was in est to smalle he lines of tex e other group bars were clo

All participan used the mou rked: “I do no notated and wh

easy to identi atom’s space ected that he

rt scale, 2 par reed partially the bar layout of the border started with to prefer the b

ur user study.

sy to select te to select lette rt of Libeskind

tonstehlen’ w pposed to m he creation of hed to correla ssion `archite bserved in ano

ants liked eeds to be d placing f the text ach line).

or right preferred d ordering sted from ndecisive.

st argued xt (atoms) p felt the ose to the

nts interacted use-over to id ot like that I al

hat not.” Usin ify the catego e may be very could extend

ticipants comp with the stat t; 1/4/1 with th

layout, 6 com bar layout; 2/

border layout.

F

ext atoms for ers or parts of

d-Bau), and P with category make it easier

f what would te atoms with ect’). A simila other study we

successfully w entify which p lways have to ng the border ry of an anno y small and it

an atom by d

pletely agreed tement “the ba

he border layo mpletely agree

/3/1 with bord igure 12: Order

annotation.

f words. In P5 aimed to y material.

r to create d have been

h each other ar desire to e performed

with the bar parts of the o look to the layout four otation. Five t is “hard to dragging its

d during the ar layout is out). On the ed, 4 mainly der layout).

ring of bars

(11)

During the study it was noted that overlapping annotations constitute a considerate proportion of all created annotations (used by 8 of 12; up to 30% of all annotations). In the guided interviews, we observed that the participants saw the bar layout to be more suitable for annotating larger text passages because many (small) bars on the left side potentially make the interface less clear. Participants also found that the bar layout was somewhat imprecise as atoms are only identified by line but not by position in each line.

However, the bar layout was found to be well suited for reading and annotating since texts themselves do not contain any highlighting.

Participants found the border layout to be more suited for annotating short text passages because they could easily recognize the atoms, and the relationship between atoms and annotations was clear. However, participants noted that users may get confused by the borders if they are confronted with too many atoms.

6 Conclusion and Future Work

The success and rapid uptake of Web 2.0 concepts was largely due to and driven by the availability of applications for non-expert users (i.e., users with little knowledge about Web technologies). We believe that the success of the Semantic Web similarly depends on the availability of applications for non-expert users (i.e., users with little knowledge about semantic concepts and technologies). Many semantic web researchers focus on creating applications for producing and consuming semantically enriched content.

However, only few ensure the usability of their user interfaces for the large group of non-expert users.

In this paper we present our analysis of visual tools for creating annotations and describe the results of an initial user study on the highlighting of annotations. The results of our study form a first step towards formulating recommendations and best-practice examples for the design of annotation systems with manual components.

The indication of overlapping annotations was identified as the main issue for visualisation of annotations. None of the tools and annotation interfaces had been previously evaluated for their ease of use. In our user study, two layout alternatives for the visualisation of text atoms and their linkage to annotations. Our user study confirmed that overlapping annotations constitute a considerate proportion of all created annotations. They were identified as part of a typical annotation process and should not be treated as special cases. The border layout supports clear identification of overlapping annotations, whereas their identification is more complicated in the bar layout. We also found that the bar layout is more suitable for annotating larger text passages whereas the border layout is more suitable for annotating words and short passages. We therefore recommend that systems should implement two views on annotated texts: One view for unhindered reading, a quick overview of the text and locating atoms and annotations at a glance (e.g., bar layout) and another one for creating annotations in the text and retrieving detailed information about the annotated text passages (e.g., border layout).

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The work presented in this paper considered mainly the visualisation of (simple semantic) annotations (e.g., assigning a category). However, full semantic mark-up requires the additional assignment of semantic identifiers. The understanding of complex semantic annotations (e.g., assigning and interpreting the linkage to resources) by non- expert users is more complicated and needs to be explored further. Moreover, so far only annotations created by single users were analysed. The concurrent annotation of texts by a group of users (e.g., in a crowd-sourcing approach) will most likely lead to more overlapping and potentially contradicting annotations. Appropriate resolution of these cases still needs further research.

References

[Hin09] Annika Hinze, Agnès Voisard, George Buchanan: Tip: Personalizing Information Delivery in a Tourist Information System. Journal of IT & Tourism 11(3): 247-264, 2009 [Hsi08] Ping-Ju Hsieh. Administration Service for the Tourist Information System. Master’s

thesis, Computer Science Department, The University of Waikato, June 2008, available online at http://researchcommons.waikato.ac.nz/handle/10289/2478.

[Luc09] Markus Luczak-Rösch and Ralf Heese. Linked data authoring for non-experts. In Proceedings of the Linked Data on the Web Workshop (co-located to WWW’2009).

LNCS, March 2009

[Muh94] Thomas Muhr. ATLAS.ti: Ein Werkzeug für die Textinterpretation. In Schriften zur Informationswissenschaft, pp 317-324. Univ.-Verlag Konstanz, 1994.

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In previous work, we have presented a more general approach [13,14] by introducing two metrics to describe image-text relations: cross-modal mutual infor- mation (CMI) and

The scarcity of freely available professional on-line multilingual lexical data made us turn to the lexical resources offered by the collaborative dictionary

Through the temporal alignment of the primary video data (soccer match videos) with the textual and structured complementary resources, these extracted and