Searching in the city of knowledge: challenges and recent developments

V. Bicer, V. López
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引用次数: 5

Abstract

Today plenty of data is emerging from various city systems. Beyond the classical Web resources, large amounts of data are retrieved from sensors, devices, social networks, governmental applications, or service networks. In such a diversity of information, answering specific information needs of city inhabitants requires holistic IR techniques, capable of harnessing different types of city data and turned it into actionable insights to answer different queries. This tutorial will present deep insights, challenges, opportunities and techniques to make heterogeneous city data searchable and show how emerging IR techniques models can be employed to retrieve relevant information for the citizens.
知识之城的搜索:挑战和最新发展
如今,大量数据从各个城市系统中涌现出来。除了传统的Web资源之外,还可以从传感器、设备、社会网络、政府应用程序或服务网络中检索大量数据。在如此多样化的信息中,回答城市居民的特定信息需求需要整体IR技术,能够利用不同类型的城市数据,并将其转化为可操作的见解,以回答不同的问题。本教程将介绍使异构城市数据可搜索的深刻见解、挑战、机遇和技术,并展示如何使用新兴的IR技术模型为市民检索相关信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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