Impact of Semantic Granularity on Geographic Information Search Support
| Autor: | Liliana Ardissono, Michela Bertolotto, Giovanna Guerrini, Laura Di Rocco, Noemi Mauro |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning Geospatial analysis Knowledge representation and reasoning Computer Networks and Communications Computer science geographical information retrieval session-based concept suggestion 02 engineering and technology Ontology (information science) computer.software_genre Semantics geographical information retrieval semantic granularity session-based concept suggestion Computer Science - Information Retrieval Machine Learning (cs.LG) Query expansion semantic granularity Artificial Intelligence Information space 020204 information systems 0202 electrical engineering electronic engineering information engineering Abstraction (linguistics) Information retrieval Geographical information retrieval Semantic granularity Session-based concept suggestion 020201 artificial intelligence & image processing Granularity computer Information Retrieval (cs.IR) Information integration |
| Zdroj: | WI |
| Popis: | The Information Retrieval research has used semantics to provide accurate search results, but the analysis of conceptual abstraction has mainly focused on information integration. We consider session-based query expansion in Geographical Information Retrieval, and investigate the impact of semantic granularity (i.e., specificity of concepts representation) on the suggestion of relevant types of information to search for. We study how different levels of detail in knowledge representation influence the capability of guiding the user in the exploration of a complex information space. A comparative analysis of the performance of a query expansion model, using three spatial ontologies defined at different semantic granularity levels, reveals that a fine-grained representation enhances recall. However, precision depends on how closely the ontologies match the way people conceptualize and verbally describe the geographic space. |
| Databáze: | OpenAIRE |
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