Semantic location

Pradhan, Salil

doi:10.1007/bf02391560

Cited by 33 publications

(10 citation statements)

References 1 publication

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“…5.  Worboys [5], Khan and Kolbe [6], Pradhan [7] and Brummit and Shafer [8], suggested the development of a hybrid model combining topological and geometric features. This will be represented via graph-based network consisting of nodes and segments (taken from Pre-processed CAD drawings to Shape Files) and has to be linked to the logical model of buildings and to external network transfer points (i.e.…”

Section: The Value Of Axedementioning

confidence: 99%

Accessibility Density – A New Trend for Transportation Planning

2016

IJRCMCE

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Abstract-The new trends of development of mega-scale projects determine new challenges in urban planning, transportation and construction engineering. The traditional planning tools must address the new challenges associated with mega-scale projects. One of the significant challenges is accessibility which is defined by Litman[1] as people's ability to reach goods, services and activities. The term "Accessibility Density" (AxeDe) proposed in this paper is a single metric that captures the accessibility level from one entrance to the numerous destinations, activities, and functions that exist within a development, with reference to a certain threshold of units. The theory and application of the proposed AxeDe concept have been examined on Mall of the Emirates (MOE); a mega-scale shopping mall as a case study in the city of Dubai. AxeDe represents a potential shift in the planning process by addressing a transportation challenge relevant to access to/from mega-scale developments, where walking is the common mode of transportation. It aims at knowing how accessibility can be evaluated/ measured within mega-scale pedestrian-dominated developments. The outcomes illustrated the impact of design on accessibility. Further demonstrations of the observed results have been suggested with further research to develop the concept by addressing otherfactors of accessibility and types of land-use.

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Section: The Value Of Axedementioning

confidence: 99%

Accessibility Density – A New Trend for Transportation Planning

2016

IJRCMCE

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“…According to Pradhan [6] and Brummit & Shafer [7] indoor space models can be separated into two different classes. The so called topological/semantic class contains models relying on abstract descriptions of spatial relations (e.g., "Office X is near the Elevator").…”

Section: Related Workmentioning

confidence: 99%

Formal definition of a user-adaptive and length-optimal routing graph for complex indoor environments

Goetz

Zipf

2011

Geo-spatial Information Science

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Car routing solutions are omnipresent and solutions for pedestrians also exist. Furthermore, public or commercial buildings are getting bigger and the complexity of their internal structure has increased. Consequently, the need for indoor routing solutions has emerged. Some prototypes are available, but they still lack semantically-enriched modelling (e.g., access constraints, labels, etc.) andare not suitable for providing user-adaptive length-optimal routing in complex buildings. Previous approaches consider simple rooms, concave rooms, and corridors, but important characteristics such as distinct areas in huge rooms and solid obstacles inside rooms are not considered at all, although such details can increase navigation accuracy. By formally defining a weighted indoor routing graph, it is possible to create a detailed and user-adaptive model for route computation. The defined graph also contains semantic information such as room labels, door accessibility constraints, etc. Furthermore, one-way paths inside buildings are considered, as well as three-dimensional building parts, e.g., elevators or stairways. A hierarchical structure is also possible with the presented graph model.

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“…are often called symbolic or semantic locations [9,11,14]. Some people expect a lot of semantics and intelligence behind these words, even though the term semantic location in its original meaning only describes an area that has a certain identity for a user or application.…”

Section: Figure 1 the Nimbus Bus Plannermentioning

confidence: 99%

Detecting identifiable areas in mobile environments

Roth

2006

Proceedings of the 2006 ACM Symposium on Applied Computing

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Location-based applications and services are getting increasingly important for mobile users. They take into account a mobile user's current location and provide a location-dependent output. To support developers of location-based services, the Nimbus framework hides specific details of positioning systems and provides uniform output containing physical as well as symbolic location information, which often are more suitable for applications and users. One basic problem solved by Nimbus is the Distributed Location Resolution Problem: given a location; which identifiable areas cover this location, if the area information is distributed among different servers. This paper presents a solution of this problem that runs in the distributed, self-organizing Nimbus infrastructure. The effectiveness is demonstrated with the help of performance analyses.

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Semantic location

Cited by 33 publications

References 1 publication

Accessibility Density – A New Trend for Transportation Planning

Accessibility Density – A New Trend for Transportation Planning

Formal definition of a user-adaptive and length-optimal routing graph for complex indoor environments

Detecting identifiable areas in mobile environments

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