Publication | Closed Access
Ad-hoc object retrieval in the web of data
214
Citations
18
References
2010
Year
Unknown Venue
EngineeringSemantic SearchAd-hoc Object RetrievalImage RetrievalSemantic WebText MiningNatural Language ProcessingImage AnalysisInformation RetrievalData SciencePattern RecognitionIntelligent SearchingData IntegrationData RetrievalSearch TechnologyMachine VisionKnowledge DiscoverySemantic Web TechniqueComputer ScienceSearch Engine DesignWeb Search ApplicationComputer VisionContent-based Image Retrieval
Semantic Search encompasses concepts, challenges, and techniques for leveraging the growing Web of Data for web search. The authors propose a formal model for ad‑hoc object retrieval. The model links ad‑hoc object retrieval to traditional document retrieval and outlines evaluation metrics. The task offers a framework to study semantic search problems and is validated through realistic evaluation in a web search application.
Semantic Search refers to a loose set of concepts, challenges and techniques having to do with harnessing the information of the growing Web of Data (WoD) for Web search. Here we propose a formal model of one specific semantic search task: ad-hoc object retrieval. We show that this task provides a solid framework to study some of the semantic search problems currently tackled by commercial Web search engines. We connect this task to the traditional ad-hoc document retrieval and discuss appropriate evaluation metrics. Finally, we carry out a realistic evaluation of this task in the context of a Web search application.
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