This document provides an overview of the semantic web and its evolution from Web 1.0 to Web 3.0. It discusses the transition to a web of linked, structured data and the key issues around information retrieval, extraction, and maintenance of semantic data on the web. It also outlines the stack of technologies needed for open linked data and provides an example of open data implementation in Rimini, Italy.

1. Giacomo Bartoli
795161
Academic year 2016/17
MSc in Computer Science & Engineering - University of Bologna
Semantic Web,
a general overview

2. Outline
• From Web 1.0 to Web 3.0
• Towards a Web of Data
• Main issues: IR, Extraction, Maintenance, Privacy
• Topics involved
• Open Linked Data: stack of technologies
• Real case: Rimini Open Data website

3. From Web 1.0 to Web 3.0
Web 1.0
mainly static and considered
as a simple virtual library.
First website is still online:
http://info.cern.ch
Web 2.0
dynamic and used by
most of the people.
- Social Networks
- Blogs
- Forums
- Community
Technologies that made
is possible: php, Ajax, CSS, Js

4. From Web 1.0 to Web 3.0
Web 3.0
Everyone has access to the Web. Internet is the medium
for organising, planning any kind of activity: from a
dinner’s out to online business.
This clearly rises some issues:
• How do we handle all these information?
• Are search engines always able to retrieve what we are
looking for?

5. Towards a Web of Data
Web of Data
The aim is to have linked, structured data that can be
exposed according to a common standard.
Data must be machine readable: this will lead to a new
knowledge.
Many of these data are still available but without a proper
organization is not possible to retrieve them correctly.

6. Web of Data: topics
Related topics to the Web of Data’s vision:
• Linked Data
• Vocabularies
• Inference
• Vertical Applications
• Query

7. Web of Data: issues
We still need to face some issues:
• Information Retrieval
• Information Extraction
• Maintenance
• Privacy

8. Stack of Technologies
Open Linked Data requires a set of
technologies that can be summed up by the
following “layer cake”:

9. Semantic Web statistics

10. SW: a real case scenario
Open Data in Rimini (Italy)
• divided by categories
• divided by tags
• 48 datasets available
• xml, csv, txt, json
http://dati.comune.rimini.it

11. References
1. Personal notes taken during lectures by Prof. Antonella Carbonaro
2. Gartner’s official website, https://www.gartner.com
3. Wikipedia, https://it.wikipedia.org/wiki/Pagina_principale
Credits
Giacomo Bartoli
mat. 795161
giacomo.bartoli3@studio.unibo.it