Abstract

Abstract. A huge amount of information, including geographic, environmental, socio-economic, personal and social network information, has been generated from diverse sources. Most of this information exists separately and is disorderly even if some of it is about the same person, feature, phenomenon or event. Users generally need to collect related information from different sources and then utilize them in applications. An automatic mechanism, therefore, for establishing a connection between potentially-related information will profoundly expand the usefulness of this huge body of information. A connection tie is semantic location describing semantically concepts and attributes of locations as well as relationships between locations, since 80% of information contains some kind of geographic reference but not all of geographic reference has explicit geographic coordinates. Semantic location is an orthogonal form of location representation which can be represented as domain ontology or UML format. Semantic location associates various kinds of information about a same object to provide timely information services according to users’ demands, habits, preferences and applications. Based on this idea, a Pan-Information Location Map (PILM) is proposed as a new-style 4D map to associates semantic location-based information dynamically to organize and consolidate the locality and characteristics of corresponding features and events, and delivers on-demand information with a User-Adaptive Smart Display (UASD).

Highlights

  • Maps have been considered as communication tools

  • In Pan-information location map, we demonstrate the importance of location, based on which we establish semantic location model and location association model to associate location related information

  • The definition of Pan-information Location Map (PILM) is described in Section 1 and Figure 1 shows the representation of Pan-Information Location Map (PILM)

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Summary

INTRODUCTION

Maps have been considered as communication tools. That is because of the limitation of the human capability to perceive the objective world; human beings have to spend on certain communication tools to understand the objective world. The volume is so large that it is necessary to compress data by selecting suitable information which is to be represented on the map. Why don’t we use location-based information to associate various related data? Any location related description from the formal coordinates of GIS to the informal can be understood and various types of big data can be associated, ranging from the outdoors to indoors. Concluding the problems above, this paper gives a solution, proposing a new-style map named “Pan-information Location Map”. It is defined as “a 4D map, which associates dynamically various information based on locations, illustrates locality and various corresponding characteristics of features and events, and delivers on-demand information with useradaptive smart display (UASD)”

WHY PAN-INFORMATION LOCATION MAP
Compositions of PILM
Semantic Location Model
Location Description Model
Location feature model
Semantic Location Association
Four Dimensional Map
Findings
CONCLUSION
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