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Recent progress in research fields such as information extraction and information retrieval enables the creation of systems providing better search experiences to Web users. For example, systems that retrieve entities instead of just documents have been built. In this paper we present an approach for large-scale entity retrieval using Web collections as underlying corpus. We propose an architecture...
Existing desktop search systems, developed as a reaction to the rapidly increasing storage capacities of our hard disks, are an important step towards more efficient personal information management, yet they offer an incomplete solution. The industrial ones are capable of indexing a vast amount of file types, and the research prototypes can add very comprehensive metadata to increase recall. However,...
Entity Ranking (ER) is a recently emerging search task in Information Retrieval, where the goal is not finding documents matching the query words, but instead finding entities which match types and attributes mentioned in the query. In this paper we propose a formal model to define entities as well as a complete ER system, providing examples of its application to enterprise, Web, and Wikipedia scenarios...
Collaborative tagging, i.e. the process of assigning metadata in the form of keywords to shared content by many users, has emerged as an important way to provide information about resources on the Web and elsewhere. Such keywords (tags) are used to enable the organization of information within personal information spaces, such as photo collections, but can also be shared, allowing browsing and searching...
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