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This document provides an overview of open data, linked data, and web science through conceptual discussions, case studies, and proposed next steps. It begins with definitions of key concepts like open data and the semantic web. Case studies demonstrate current applications of open data through government initiatives and technologies like Google's Knowledge Graph and Apple's Siri. The document concludes by acknowledging challenges with open data strategies and advocating for interdisciplinary collaboration to realize the potential of linked open government data.
Introduction to open data concepts, with London 2012 as a case study of open data usage in real-world applications.
Definition and characteristics of Big Data and Open Government Data emphasizing its accessibility and promoting values like transparency and collaboration.
Illustration of successful open data applications and critical factors in implementing open data policies, emphasizing the challenges and strategies from various countries.
Discussion on transitioning to a data-centric web and the significance of linked data in realizing the Semantic Web, citing growth in interlinks and datasets.
Examples of semantic web applications like Google’s Semantic Search, Apple’s Siri, and the notion of Active Ontology for intelligent data processing.
Life cycle of linked data from awareness to use cases and the importance of linking data for richer online experiences.
Concerns regarding the sustainability of government data initiatives, highlighting budget issues and the role of government in maintaining public data accessibility.
Conceptual frameworks aim to maximize the economic benefits of open data through structured approaches and comparison of Open Data to Linked Data.
Call for collaborative efforts across fields to effectively manage and utilize open data in a changing technological landscape.
Citations of sources used throughout the presentation and contact information for further engagement.

































