Gömülü Toplu Taşıma Sistemleri için Anlamsal Servis Odaklı Reklam Yönetim Sistemi

Abstract

Günümüz toplu taşıma sistemleri, sesli-görsel reklam platformlarını yaygın olarak kullanmaktadır. Ancak geleneksel yöntemler, içeriği çevresel veya bağlamsal değişkenlerden bağımsız olarak genellikle belirli ve sıralı bir düzende yayınlamakta; bu nedenle hedeflenen demografik kitleye etkili bir şekilde ulaşılmasını sağlayamamaktadır. Bu çalışma, hedef kitle etkileşimini optimize etmek amacıyla tasarlanmış anlamsal web servisi odaklı bir çerçeve önermektedir. Önerilen mimari kapsamında içerik seçimi; gerçek zamanlı araç konumu, zamansal veriler ve yolcu doluluk ölçümlerini kapsayan çok parametreli bir model tarafından dinamik olarak belirlenmektedir. Seçim mantığı, kapsamlı bir şehir ölçekli ontoloji ile entegre edilmiş bir Servis Odaklı Mimari aracılığıyla uygulanmaktadır. Uzamsal-zamansal değişkenler ve cinsiyete göre ayrıştırılmış yolcu sayılarını içeren bağlamsal veriler, Android tabanlı bir gömülü araç platformu tarafından üretilmektedir. Sistem iki ana bileşenden oluşmaktadır: araç tarafı arayüzü ve merkezi bir yönetim düğümü. Bu düğümler, düşük seviyeli soket programlama yoluyla sağlam bir veri alışverişi gerçekleştirmektedir. Merkezi servis istemcisi, en ilgili reklam verene özel web servisini çağırmak için şehir ontolojisinden türetilen verileri işlemektedir. Servis çağrıldığında, reklam yürütme işlemi önceden tanımlanmış anlamsal kriterlere göre gerçekleştirilmektedir. Sistemsel hesap verebilirliği sağlamak amacıyla tüm yayın kayıtları; denetim, faturalandırma ve performans izleme işlemleri için ilişkisel bir veri tabanında saklanmaktadır. Ayrıca, özel bir yönetici uygulaması; finansal işlem yönetimi ve sistem teşhisi dahil olmak üzere tüm ekosistemin kapsamlı bir denetimini sağlamaktadır.

Keywords

• Akıllı ulaşım sistemleri
• anlamsal web servis mimarisi
• ontoloji
• gömülü sistemler
• reklam yönetim sistemleri

A Semantic Service-oriented Advertisement Management System for Embedded Public Transport System

Abstract

Contemporary public transportation systems ubiquitously employ audio-visual advertising platforms. However, traditional methodologies typically broadcast content in a fixed, sequential order, irrespective of environmental or contextual variables, thereby failing to ensure effective reach within the intended demographics. This study proposes a semantic web service-oriented framework designed to optimize target audience engagement. Under the proposed architecture, content selection is dynamically determined by a multi-parametric model encompassing real-time vehicle geolocation, temporal data, and passenger occupancy metrics. The selection logic is implemented through a Service-Oriented Architecture integrated with a comprehensive city-scale ontology. Contextual data—including spatio-temporal variables and gender-disaggregated passenger counts—are generated by an Android-based embedded vehicle platform. The system comprises two primary components: a vehicle-side interface and a centralized management node. These nodes facilitate robust data exchange via low-level socket programming. The centralized service client processes the data derived from the city ontology to invoke the most relevant, advertiser-specific web service. Upon service invocation, advertisement execution is conducted based on predefined semantic criteria. To ensure systemic accountability, all broadcast logs persisted in a relational database for subsequent auditing, billing, and performance monitoring. Furthermore, a dedicated administrative application provides comprehensive oversight of the entire ecosystem, including financial transaction management and system diagnostics.

Keywords

• Intelligent transportation systems
• semantic web service architecture
• ontology
• embedded systems
• advertisement management systems

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