A Spatiotemporal Semantic Search Engine For Cultural Events

Abstract

In the field of geographic information science spatiotemporal information extraction from Web pages, especially unstructured documents, is one of the growing areas of the research. Abundant news is publishing every hour on the Web, which contains valuable spatiotemporal information for its users. It is cumbersome and time-consuming to search among unstructured texts and find events of interest. In this work, we will show you how to extract spatiotemporal and semantic entities and relationships representing in cultural event news reports and search within the information. Natural Language Processing (NLP) and automatic ontology population are tightly coupled, and together they make it possible to have Web documents semantically so that not only can machines comprehend the Web documents, but also as a result, users are able to find the ideal information with ease. A spatiotemporal semantic search engine enables us to answer, where and when an event will take place.