Abstract—Location Based Service (LBS) refers to class of
applications that provides services based on the current or a
known location. The location information can be obtained
through the mobile communication network or the Global
Navigation Satellite Systems (GNSS) [8]. But in all the cases
after extracting information we have to make an exhaustive
processing over this extracted geographic information. And
this exhaustive processing requires a significant amount of
time if it is performed by traditional techniques.
Artificial Intelligence, on the other hand, has been proven to
be useful in the interpretation of spatial resource information.
On of the artificial intelligence technique to support spatial
processing is artificial neural networks (ANNs). The recent
developments in ANN technology have made it more ofan
applied mathematical technique that has some similarities to
the human brain.
The integration of LBS with AIoffers a potential
mechanismto lower the analysis-time of spatial information.
One major advantage is that this integration allows the
interpretive result from a small area to be transferred to a
larger, geographically similar area.
The objective of this paper is to discuss about the relativity
of LBS services and Artificial Intelligence technologies and to
uncover the benefits of converging LBS and AI.
Index Terms—LBS, GIS, AI, ANNs.
S. Kumar is with the Tata Consultancy Services Limited, Pune India (email:
sandeepkumar@zhcet.ac.in).
M. A. Qadeer is with the Aligarh Muslim University. Uttar Pradesh,
Aligarh, India (e-mail: maqadeer@gmail.com).
S. K. Singh is with the Tata Consultancy Services Limited, Pune India
(e-mail: sumitkumarsingh@zhcet.ac.in).
Cite:Sandeep Kumar, Mohammed Abdul Qadeer, and Sumit Kumar Singh, "Convergence of LBS and AI," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 729-732, 2012.