Abstract
With the growing availability of semantic and structured data on the Web, techniques for intuitive access to these data collections become more important. Therefore, many approaches to keyword search on structured data have been proposed in the recent years. These approaches apply the traditional information retrieval paradigm to structured data, by identifying possible result items in the data collections, scoring them by relevance, and presenting a ranked result list to the user. However, when the user intent is not met by the used scoring algorithm, it is very difficult or impossible for the user to refine the query such that the results reflect the desired intent. To solve this issue, we propose an interactive query construction process. Our system derives possible intentions for the entered keyword query, but instead of presenting results immediately, it guides the user through an interactive process where the user expresses and refines his intention in a few steps until the desired intent is met. In that way, we combine the intuitiveness of keyword search with the expressiveness of semantic queries to satisfy users’ information needs.
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- 1.
QUery Intent Constructor for Keywords.
- 2.
Throughout this paper, we use the IMDB movie dataset as an example to illustrate our approach.
- 3.
To keep the presentation clear we do not consider blank nodes; adding them to the model is straightforward.
- 4.
In our actual implementation, we use the custom language extension of LuceneSail to express full-text filters.
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Zenz, G., Minack, E., Siberski, W., Nejdl, W., Zhou, X. (2012). Interactive Query Construction for Keyword Search on the Semantic Web. In: De Virgilio, R., Guerra, F., Velegrakis, Y. (eds) Semantic Search over the Web. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25008-8_5
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