Matching points of interest with user context: an ANN approach

Özgün YILMAZ

Makale detayları

Matching points of interest with user context: an ANN approach

Yazarlar:

Özgün YILMAZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 4, pp.2784-2795

Belge Tipi:

Makale

Yayın Tarihi:

7/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000736094

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

In this paper, the design and development of an artificial neural network   (ANN) for similarity value calculation in a context-aware system is   proposed. This neural network is used by the neural agent of the iConAwa   system. Since iConAwa is an intelligent, context-aware, multiagent system,   it provides mobile users with context-aware information and services, and   also provides communication with each other. Context and points of interest   are modeled in a flexible and extensible way by using ontologies. iConAwa   derives high-level implicit context from low-level explicit context by   inference performed over the context ontology. This approach decouples   context reasoning from the source code of the system. With the addition of a   neural agent, which uses an ANN, the system has learning capability. By   using a neural network for similarity value calculation, the system can   adapt to the needs of different people. System owners can introduce their   own similarity metric considering their own requirements, which further   improves the iConAwa system. Thus, the extended iConAwa system combines   expert system characteristics with the capability to learn.

Makale detayları

Matching points of interest with user context: an ANN approach

Yazarlar: Özgün YILMAZ

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 4, pp.2784-2795

Belge Tipi: Makale

Yayın Tarihi: 7/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000736094

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Özgün YILMAZ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 4, pp.2784-2795

Belge Tipi:

Makale

Yayın Tarihi:

7/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000736094

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632