1. Laurea Magistrale in Scienze di Internet
Project
Andrea Nuzzolese
Laurea Magistrale in Scienze di Internet
KMDM a.a. 2010/2011
Bologna, 18 Aprile 2011

2. General rules The project has to be developed by groups
max 3 persons per group (2 are recommended)
each group has a name
Project and group validation
the group must be communicated to the Google group three weeks by the deadline selected for delivery
E.g. a group that wants to deliver on June 15th has to be communicated before May 25th
the for communicating the group must contain
group name
members’ names
description of the project (max 700 words)
the proposed project and the group will be validated within three days
If the project is rejected it has to be revised and re-submitted
it is highly recommended to interact on the Google group during the development of the project proposal
deadlines for project delivery
June 15  access to oral exam from June 22nd
July 13  access to oral exam from July 21st

3. Basic objectives of the project
understanding
how to manage knowledge
problems related to knowledge management and how to solve them
learning
how to use semantic technologies for KM
realizing
a Web-based platform which allows semantic mash-up

4. Semantic Mash-up
a semantic mash-up aggregates data from heterogeneous (and possibly non semantic) sources
it aggregates data/information to the aim of delivering knowledge to a user/application
it connects data and make sense of them based on some knowledge-oriented criteria

6. Types of projects
LOD search engine
Relation finder

7. LOD search engine input: keywords
output: RDF graph describing the entity as from several LOD datasets (presented through user-friendly interface)
user interaction includes
keyword-based search on linked data
pattern-based filtering
pattern-based aggregation and transformation
pattern-based presentation
example: SIG.MA
Chiarisci che Sig.ma non fa nessuna di quelle cose e che nel progetto gli aspetti di interazione menzionati sono tutti obbligatori

9. Relation finder input: text(+), keywords
output: RDF graph describing entities mentioned in the text and their relationships
only relevant relationships based on pattern-lenses (presented through user-friendly interface)
example: RelFinder
Perché vuoi mettere il testo obbligatorio? Abbiamo detto che possono farlo dal testo oppure inserendo un numero di keyword > 1
Al limite possiamo dire I progetti che permettono l’inserimento/upload di un testo verranno valutati con un +1

11. Technology to use Javascript Apache Stanbol Java (maybe)
a modular software stack and reusable set of components for semantic content management
Java (maybe)

12. Why Apache Stanbol
Apache Stanbol provides HTTP RESTful services which allow
Named entity recognition and linkage
Entity caching and dataset configuration
RDF graph refactoring
Knowledge Pattern management
…much more, but too much for your project 

13. How to Build Apache Stanbol
Download the source code from tha Apache SVN
Build the code using Maven
$mvn –DskipTests install

14. How to run Stanbol go to stanbolroot/launchers/lite/target and launch
$java –jar –Xmx512m org.apache.stanbol.enhancer.launchers.full-0.9-SNAPSHOT.jar
open your browser at

16. All the components are accessible via HTTP REST services
Components to use
Enhancer
recognizes entities in text documents and links those entities to LOD resources
Entity Hub
allows to configure a network of trusted datasets
cache entities
Refactor
RDF graph transformation
allows semantic harmonization
OntoNet
manage your ontology network
All the components are accessible via HTTP REST services

17. Stanbol Enhancer Input Output
“Bob Marley was a famous musician from Jamaica.”
Output
GeoNames
DBpedia

18. How the Enhancer works in: unstructured content (i.e. full text) +
the enhanced RDF meta-data (initially empty)
Enhancement Engine 1
Enhancement Engine 2
Job Manager …
out: the RDF meta-data enhanced from the unstructured content
Enhancement Engine N

19. How the Enhancer works in: unstructured content (i.e. full text) +
the enhanced RDF meta-data (out of the previous engine)
Enhancement Engine 1
Enhancement Engine 2
Job Manager …
out: the RDF meta-data enhanced from the unstructured content +
previous metadata
Enhancement Engine N

20. How the Enhancer works in: unstructured content (i.e. full text) +
the enhanced RDF meta-data (out of the previous engine)
Enhancement Engine 1
Enhancement Engine 2
Job Manager …
out: the RDF meta-data enhanced from the unstructured content +
previous metadata
Enhancement Engine N

21. Enhancer’s REST services (cURL)
standard request in cURL
$ curl -X POST -H "Content-type: text/plain" --data "Paris is a beautiful city."
you can force a specific RDF serialization scheme by setting the "Accept" HTTP header
$ curl -X POST -H "Content-type: text/plain" -H "Accept: application/rdf+xml" --data "Paris is a beautiful city."
you can upload the content of a file
$ curl -X POST -H "Content-type: text/plain" -H "Accept: text/rdf+nt"

22. Enhancer’s REST services (cURL)
store the enhanced RDF graph
curl -i -X POST -H "Content-Type:text/plain” --data "The Stanbol enhancer can detect famous cities such as Paris.”
HTTP/ CreatedLocation: 0Server: Jetty(6.1.x)
store the enhanced RDF graph from file
curl -i -X PUT -H "Content-Type:text/plain" -T $file

23. Enhancer’s REST services (Javascript)
$.ajax({ type: "POST", url: " data: "Paris is a beautiful city.", dataType: ”application/rdf+xml", success: function(result) { … }, error: function(result) { } });
RDF: application/rdf+xml
RDF JSON: application/rdf+json
JSON LD: application/json
text plain: text/plain
turtle: text/turtle
N triple: text/rdf+nt
N3: text/rdf+n3

24. EntityHub’s REST services (cURL)
if you don’t know the dataset ID
$ curl -X GET
if you want the output as RDF/XML
curl -X GET -H "Accept: application/rdf+xml"
if you know the dataset ID
curl -X GET

25. EntityHub’s REST services (Javascript)
$.ajax({
type: ”GET",
url: " id=
dataType: ”application/rdf+json",
success: function(result) { … },
error: function(result) { }
});
RDF: application/rdf+xml
RDF JSON: application/rdf+json
JSON LD: application/json
text plain: text/plain
turtle: text/turtle
N triple: text/rdf+nt
N3: text/rdf+n3

26. How to configure the Entity Hub
go to
username: admin
password: admin 
look in the table for
“Apache Stanbol Entityhub Referenced Site Configuration”
add a new site
configure an existing site

27. How to configure the Entity Hub