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.@en

Thanks to the Web, access to an increasing wealth and variety of information has become near instantaneous. To make informed decisions, however, we often need to access data from many different sources and integrate different types of information. Manually collecting data from scores of web sites and combining that data remains a daunting task. The ERC projects SeCo (Search Computing) and DIA- DEM (Domain-centric Intelligent Automated Data Extrac- Tion Methodology) address two aspects of this problem: SeCo supports complex search processes drawing on data from multiple domains with a user interface capable of refining and exploring the search results. DIADEM aims to automatically extract structured data from a domain's websites. In this paper, we outline a first approach for integrating SeCo and DIADEM. We discuss how to use the DIADEM methodology to automatically turn nearly any website from a given domain into a SeCo search service. We describe how such services can be registered and exploited by the SeCo framework in combination with services from other domains (and possibly developed with other methodologies).@en

We demonstrate Liquid Queries, a novel user interaction paradigm for exploratory multi-domain search upon structured information collected from heterogeneous data sources. Liquid Queries support an exploratory search approach by providing a set of interaction primitives for multi-domain query formulation, result visualization and query refinement, with commands for perusing the result set, changing the visualization of data based on their type (e.g., geographical) and interacting with the remote search services.@en