Evaluation of the user interface in an information retrieval system: a model
Information Processing and Management: an International Journal
Developing user interfaces: ensuring usability through product & process
Developing user interfaces: ensuring usability through product & process
Evaluation of evaluation in information retrieval
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
Web search behavior of Internet experts and newbies
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
SIGIR workshop on interactive retrieval at TREC and beyond
ACM SIGIR Forum
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Designing the User Interface: Strategies for Effective Human-Computer Interaction
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
The Philosophy of Information Retrieval Evaluation
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Information Processing and Management: an International Journal
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
Overview of the TREC 2006 ciQA task
ACM SIGIR Forum
On the role of user-centred evaluation in the advancement of interactive information retrieval
Information Processing and Management: an International Journal
The usability of semantic search tools: A review
The Knowledge Engineering Review
Methods for Evaluating Interactive Information Retrieval Systems with Users
Foundations and Trends in Information Retrieval
Investigating the Semantic Gap through Query Log Analysis
ISWC '09 Proceedings of the 8th International Semantic Web Conference
How useful are natural language interfaces to the semantic web for casual end-users?
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Sindice.com: weaving the open linked data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Hybrid search: effectively combining keywords and semantic searches
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Beyond the Usability Lab: Conducting Large-scale Online User Experience Studies
Beyond the Usability Lab: Conducting Large-scale Online User Experience Studies
Invited paper: VisiNav: A system for visual search and navigation on web data
Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web
Mapping queries to the Linking Open Data cloud: A case study using DBpedia
Web Semantics: Science, Services and Agents on the World Wide Web
PowerAqua: fishing the semantic web
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
FREyA: an interactive way of querying linked data using natural language
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
SWSNL: Semantic Web Search Using Natural Language
Expert Systems with Applications: An International Journal
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Usability and user satisfaction are of paramount importance when designing interactive software solutions. Furthermore, the optimal design can be dependent not only on the task but also on the type of user. Evaluations can shed light on these issues; however, very few studies have focused on assessing the usability of semantic search systems. As semantic search becomes mainstream, there is growing need for standardised, comprehensive evaluation frameworks. In this study, we assess the usability and user satisfaction of different semantic search query input approaches (natural language and view-based) from the perspective of different user types (experts and casuals). Contrary to previous studies, we found that casual users preferred the form-based query approach whereas expert users found the graph-based to be the most intuitive. Additionally, the controlled-language model offered the most support for casual users but was perceived as restrictive by experts, thus limiting their ability to express their information needs.