Querying Geo-Textual Data

Abstract

Over the past decade, we have moved from a predominantly desktop based web to a predominantly mobile web, where users most often access the web from mobile devices such as smartphones. In addition, we are witnessing a proliferation of geo-located, textual web content. Motivated in part by these developments, the research community has been hard at work enabling the efficient computation of a variety of query functionality on geo-textual data, yielding a sizable body of literature on the querying of geo-textual data.With a focus on different types of keyword-based queries on geo-textual data, the tutorial also explores topics such as continuous queries on streaming geo-textual data, queries that retrieve attractive regions of geo-textual objects, and queries that extract properties, e.g., topics and top-k frequent words, of the objects in regions. The tutorial is designed to offer an overview of the problems addressed in this body of literature and offers an overview of pertinent concepts and techniques. In addition, the tutorial suggests open problems and new research direction.

Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text

“…It may be noted that some of the text-first approaches are closer in structure to the inverted file based approaches assumed to be used in commercial search engine indexing methods and hence might lend themselves to indexing of heavily text based document retrieval (as opposed to some of the less text-heavy documents of some social media). As pointed out by Cong and Jensen, 2016 there is a need to further develop indexing structures which also deal effectively with real-time, streamed corpora (as opposed to the static collections mostly described in this article), which in turn emphasises the importance of future work indexing with respect to not only space and theme, but time. This emphasises perhaps the key research challenge with respect to indexing, considering exactly what is indexed (for example the nature of the geometry associated with a document or part of a document) and the relationships between the spatial (and temporal) and thematic component stored in the index.…”

EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe

“…The spatial keyword query process is summarized in [7], and references [30] and [31] discuss the expansion of spatial keywords. We note that a spatial keyword query is actually a point-to-point or snapshot query.…”

“…The popularity of intelligent mobile devices equipped with GPS receivers [1] has caused widespread interest in geo-textual publish/subscribe systems [2], [3], [4], [5]. Thus geo-textual publish/subscribe is used in many mobile network scenarios, such as mobile social media [6], geo-based product recommendations [7], etc.…”

Location‐aware targeted influence maximization in social networks

“…Notice that there has been a number of keyword based R‐tree indexes to support efficient geo‐textual queries (Cong & Jensen, ). The main differences between our TR‐tree index and the existing keyword‐based R‐tree indexes are shown as follows.…”