Johannes Leveling
Abstract
Geographic information retrieval (GIR) has been evaluated in campaigns such as GeoCLEF, GikiP, and GikiCLEF [8, 12, 11]. Surprisingly, most results from these evaluations showed that adding more geographic knowledge typically had little or no effect on performance of GIR systems or that it even decreases performance compared to traditional (textual) information retrieval baselines (see e.g. [4]). In this position paper, current challenges of how to further improve the creation, structure and access to geographic resources (for simplicity, called the geographic index in the rest of this note) are discussed. The major challenges for indexing in GIR discussed in this note are applying methods beyond named entity recognition to identify geographic references, integrating additional, proven methods from related research areas such as question answering for semantic indexing, and aiming for better index support to interpret geographic relations. After summarizing the state of the art in indexing for GIR as it has evolved from GIR evaluation campaigns, research challenges and directions for future research are presented.
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Index Terms
- Challenges for indexing in GIR
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