assisting user browsing over linked data: requirements elicitation with a user study
DESCRIPTION
There are growing arguments that linked data technologies can be utilised to enable user-oriented exploratory search systems for the future Internet. Recently, search over linked data has been studied in different domains and contexts. However, there is still limited insight into how conventional semantic browsers over linked data can be extended to empower exploratory search, which is open-ended, multi-faceted and iterative in nature. Empirical user studies in representative domains can identify problems and elicit requirements for innovative functionality to assist user exploration. This paper presents such an approach – a user study with a uni-focal semantic data browser over several da-tasets linked via domain ontologies is used to inform what intelligent features are needed in order to assist exploratory search through linked data. We report main problems experienced by users while conducting exploratory search tasks, based on which requirements for algorithmic support to address the observed issues are elicited. A semantic signposting approach for extending a semantic data browser is proposed as a way to address the derived requirements.TRANSCRIPT
School of somethingFACULTY OF OTHER
D Thakker et al, Assisting User Browsing over Linked Data 1
School of ComputingFACULTY OF ENGINEERING
Assisting User Browsing over Linked Data:Requirements Elicitation with a User Study
Dhavalkumar Thakker, Vania Dimitrova, Lydia Lau, Fan Yang-Turner, Dimoklis Despotakis
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Semantic-enriched intelligent support to make sense of user generated content
Linked dataOntologies Content
Data
User model
Semantic Linking
Semantic tagging EnrichmentUser model update
Semantic querying
ReasoningNudging engineViewpoints engineDialogue planner
comparingreflecting connecting selectingorganising
Interfacedialogue search browse explorevisualise
Sensemaking Support Framework
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Interactive exploration of linked semantic data
Pinta: Semantic Data Browser Shell
Ontologies Content
Data
User model
Semantic Linking
Semantic tagging EnrichmentUser model update
Semantic Querying
ReasoningNudging engineViewpoints engineDialogue planner
comparingreflecting connecting selectingorganising
Interfacedialogue search browse explorevisualise
Linked data
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Multimedia
………Textual Description of the entity ………..
FOCUS ENTITY
Facet 1 Facts about ‘focus entity’<‘focus entity’, predicate, object>
. .. .
Facet 2 Terms related to ‘focus entity’<subject, predicate, ‘focus entity’ >
. . . .
Facet 3 Content related to ‘focus entity’<content entry annotated with ‘focus entity’>
. .
. .
Layout of Pinta: Uni-focal exploration
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Examine exploratory search interaction
MusicPinta
DBPedia
Musicontology
Data
User model
Semantic Linking
Gate & OWLIM EnrichmentUser model update
Sesame SPARQL
ReasoningNudging engineViewpoints engineDialogue planner
comparingreflecting connecting selectingorganising
Interfacedialogue search browse explorevisualise
DBTuneMusicBrainz
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Text & Multimedia
Facts
MusicPinta: IFocus Entity
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Related Terms
Content with Semantic Tags
MusicPinta: II
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User Study with MusicPinta
Q1: How well can users without domain knowledge perform exploratory search tasks using MusicPinta, and what is the benefit/drawback of its features?
Q2: Does browsing with MusicPinta support learning (which is traditionally associated with exploratory search), and does semantics play a role in this?
Q3: What further improvements have to be addressed to make MusicPinta (and semantic data browsers in general) suitable for exploratory search tasks?
12 users, voluntary participation, within subjects design
Pre-test
ProfileSchema
association
5 min
Training
Exploretenor
saxophone
10 min
Task 1
Characteristicsof an instrument
NASA-TLX
15+5 min
Task 2
Usage ofan instrument
NASA-TLX
15+5 min
Post-test
Schemaassociation
Usability
10 min
Feedback
Subjectiveperception
5 min
D. Thakker et al. Assisting User Browsing over Linked Data: Requirements Elicitation with a User Study (ICWE 2013) 9
Task 1: Compare & Differentiate
The music shop is extending its collection of instruments with international musical instruments. You work in an advertising agency which has been asked to prepare an advertisement script for some of the new instruments that will appear in the shop. A key part of the preparation of the advertisement script is the research of the product.
You have been asked to conduct a research of one of the new instruments, called bouzouki, using the information available in MusicPinta. You have to identify:
•the main characteristics of bouzouki;•up to five similar instruments to bouzouki; •features that make bouzouki distinctive from the similar ones you have chosen.
Go to ‘Semantic Search’ in MusicPinta and type bouzouki. Browse the content and follow links. Complete the provided form.
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Task 1: Compare & Differentiate
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Task 2: Select & Summarise
The music shop wants to increase the sales of its traditional musical instruments, such as electrical guitars. It intends to do this by adding links to creative commons album recordings with electric guitars, together with some interesting information about these albums to inspire customers to play/buy electric guitars or other musical instruments.
Furthermore, when displaying its electric guitar items, the shop wants to highlight key features people look for when purchasing electric guitars.
You are asked is to conduct the research to address the above requirements by using information provided in MusicPinta. You have to review the information about electric guitar and identify:•three interesting album recordings that include electric guitars and specify what is interesting; •key features that people look for when purchasing an electric guitar.Go to ‘Semantic Search’ in MusicPinta and type electric guitar. Browse the content and follow links. Complete the provided form.
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Task 2: Select & Summarise
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Task Performance and Difficulty
Task 1 - 70% vs Task 2 - 48%
Task 2 significantly poorer performance significantly more frustrating
Task 2 used less ontology entitiesand required mainly content exploration
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Learning Effect
Users acquired new facts about focus and context entities
Significantly more facts related to Task 1 than to Task 2
Positive correlation between the number of new facts added in the word association test and the number of clicks on classification level links
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Observations
Observations about user behaviour Requirements for nudging engine
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Conclusions
Semantics enables seamlessexploration of heterogeneouscontent
Semantic facets facilitateexplorative search tasks
Semantics empowersserendipitous learning
Semantics nudges can beprovided to improve tasksuccess and user experiences
Measures of ‘value’ and ‘newness’ are needed considering both ontology and content
Context should be considered
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School of ComputingFACULTY OF ENGINEERING
Thank You
Dr. Dhavalkumar Thakker (Dhaval)Research Fellow, University of Leeds, UK
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