Associating spatial patterns to text-units for summarizing geographic information

Retrieving data based not only on key words is a challenge. We worked on semi-structured data (cultural heritage corpora). Our project aimed at getting the most relevant text-units of documents (sets of sentences, paragraphs, sections, etc.) according to a spatial query. This paper proposes a method to build summarized spatial indexes for text-units based on spatial patterns. This approach adds semantic interpretation to classical indexing methods. Categories and Subject Descriptors H.3.1 Content Analyzing and Indexing: linguistic processing, indexing methods H.3.7 Digital Libraries General Terms Management, Experimentation Keywords Spatial Information Extraction, Spatial Information Summarization, Spatial Model, Digital Libraries, Semi Structured Data, Cultural Heritage

• Type: Conference
• Year: 2006
• Where: GIR
• Authors: Julien Lesbegueries, Christian Sallaberry, Mauro Gaio
• Keywords: GIR 2006, Information Retrieval, Spatial, Spatial Information, Summarized Spatial Indexes