Abstract
The issue of user interaction for query formulation and execution has been investigated for distributed and dynamic environments, such as Peer Data Management System (PDMS). Many of these PDMS are semantic based and composed by data peers which export schemas that are represented by ontologies. In the literature we can find some proposed PDMS interfaces, but none of them addresses, in a general way, the needs of a PDMS for user interaction. In this work we propose a visual user query interface for ontology-based PDMS. It provides a simple and straightforward interaction with this type of system. It aims not only providing a natural visual query interface but also supporting a precise and direct manipulation of the data schemas for query generation.
Highlights
User interaction for the formulation and execution of queries has been investigated for distributed and dynamic environments, such as Peer Data Management Systems (PDMS) [Blanco et al 2006]
Regarding the former aspect, we argue that user preferences and the current status of the environment should be taken into account at query reformulation time; regarding the latter, the original query should be adapted to bridge the gap between the two sets of terms
The paper is organized as follows: Section 2 presents the main PDMS concepts and describes SPEED (Semantic PEEr-to-Peer Data Management System); Section 3 presents our approach of a visual query interface with the specification and implementation; Section 4 presents the results and the evaluation of the interface; Section 5 presents some related work and compares them to our approach; Section 6 presents the conclusions and future work
Summary
User interaction for the formulation and execution of queries has been investigated for distributed and dynamic environments, such as Peer Data Management Systems (PDMS) [Blanco et al 2006]. The crucial point is how to reformulate queries among the peers in such a way that the resulting set of answers expresses, as closely as possible, what the users defined as important at query submission time, considering the current status of the environment. The second aspect is that terms from a source peer do not always have exact corresponding terms in the target one It may result in an empty reformulation and, possibly, no answer to the user. This way, the system allows the users to indicate their satisfaction with the enriched results through an explicit feedback, accepting or rejecting such correspondences This feedback is saved and considered by the system to enhance query reformulation process in future query submissions. The paper is organized as follows: Section 2 presents the main PDMS concepts and describes SPEED (Semantic PEEr-to-Peer Data Management System); Section 3 presents our approach of a visual query interface with the specification and implementation; Section 4 presents the results and the evaluation of the interface; Section 5 presents some related work and compares them to our approach; Section 6 presents the conclusions and future work
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