Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Rapid prototyping of semantic mash-ups through semantic web pipes
Proceedings of the 18th international conference on World wide web
Media Meets Semantic Web --- How the BBC Uses DBpedia and Linked Data to Make Connections
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
VisiNav: Visual Web Data Search and Navigation
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Liquid query: multi-domain exploratory search on the web
Proceedings of the 19th international conference on World wide web
Sig.ma: live views on the web of data
Proceedings of the 19th international conference on World wide web
RKBExplorer.com: a knowledge driven infrastructure for linked data providers
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Exploratory search in multi-domain information spaces with liquid query
Proceedings of the 20th international conference companion on World wide web
Search computing: multi-domain search on ranked data
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Facet graphs: complex semantic querying made easy
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Clouding services for linked data exploration
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
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An increasing number of open data sets is becoming available on the Web as Linked Data (LD), many efforts has been devoted to show the potential of LD applications from the technical point of view. However, less attention has been paid to the analysis of the information seeking requirements from the user point of view. In this paper we examine the Information Seeking Process and we propose a general framework that address all its requirements in the context of LD-based applications. We support seamless integration of both Linked and non-Linked data sources and we allow designers to define complex, rank-aware result construction and exploration rules based on rank aggregation and multiple many-to-many data navigation.