[webinar] semantic technologies

Nuxeo & Semantic TechnologiesStefane Fermigier - Nuxeo

The Web - May 2011

Wednesday, May 25, 2011

Agenda

• A pragmatic introduction to the Semantic Web

• Experience report and demos from Nuxeo

1. Introduction to the Semantic Web

Prelude

Source: Mills Davis, “Semantic Social Computing”, sept. 2007Wednesday, May 25, 2011

History

Invented the web in 1989(yeah!)

Invented the semantic web in 1994 (duh?)

Historical perspective

• From web 1.0: web of sites and pages, aka the World Wide Web

• To web 2.0: web of people and of participation, aka the Social Web (Blogs, RSS, tags, Facebook, Wikipedia, etc.)

• To web 3.0: web of data, of meaning and connected knowledge, aka the Semantic Web

Semantics & Ontologies

Some examples

• FOAF: relationships between people (social network)

• SIOC: relationships between websites, articles, blogs, comments

• Rich Snippets: syndicate RDFa content for SEO by Google, Yahoo

• good-relations: e-commerce (Ebay...)

• rNews: metadata for news agencies (AFP, Reuters...)

How is it related tothe Web?

The traditional Web

• A principle: hypertext

• A protocol: HTTP

• An identification scheme: URNs/URIs

• A language: HTML

“To a computer, then, the web is a flat, boring world devoid of meaning”

Tim Berners Lee, http://www.w3.org/Talks/WWW94Tim/Wednesday, May 25, 2011

“This is a pity, as in fact documents on the web describe real objects and imaginary

concepts, and give particular relationships between them”

“Adding semantics to the web involves two things: allowing documents which have information in

machine-readable forms, and allowing links to be created with relationship values.”

“The Semantic Web is not a separate Web but an extension of the current one, in which information

is given well-defined meaning, better enabling computers and people to work in cooperation.”

The traditional Web

• A language: HTML

The semantic Web

• A language: HTML RDF

The W3C “Layer Cake”

Alreadystandardized

URIs and theWeb of Things

• URIs (Unique Resource Identifiers) are used to identify things (also called entities) in the real world

• For instance: people, places, events, companies, products, movies, etc.

The RDF model

Subject ObjectPredicate

RDF is used to describe relationships between objects, identified by their URIs

Example

Source: http://www.slideshare.net/AntidotNet/web-smantique-web-de-donnes-web-30-linked-data-quelques-repres-pour-sy-retrouver

RDF serialization

As XML:

Others, ex: N3:

SPARQL

• Query language for RDF databases

• Several implementations

• OSS: Apache Jena, Sesame, 4Store, Virtuoso, Mulgara, Redland, Open Anzo...

• Proprietary: 5Store, AllegroGraph RDFStore, Stardog, Dydra, OWLIM...

• More expressive than SQL, scalability is still an open question

SPARQL Sample

Where and howto find these data?

Solution 1: “Lift”

• One can use HTML scrapping and natural language processing (NLP) technique to extract semantic information from existing content / sites

• Generic solutions: OpenCalais, Zemanta, Apache Stanbol

• Pro: no need to change existing content

• Con: error prone, needs human checks

Example: DBPedia

Solution 2: export

• RDFa and microformats are used to embed semantic information (expressed using the RDF model) into regular web pages

• RDFa does it using existing (rel) and additional (about, property, typeof) attributes

• Microformats only use usual HTML attributes (class)

Solution 3: reuse

• Linked Open Data: (usually large) data repositories available on the web (for free or not), expressed using the RDF model

• Interoperability between these repositories (their ontologies) must be defined

“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”

Linked Open Data in 2007

Good for Enterprise apps too!

Diagram source: http://www.w3.org/2007/Talks/0130-sb-W3CTechSemWeb/Wednesday, May 25, 2011

Why now?

Key Enablers

Open Data and Linked Online Data

Advances in automatic content analysis (linguistics, image processing) and machine learning

Classical logic and classical AI

Computing power (Moore’s law + MapReduce)

Let’s put them to use!

The technologies and data are available,

2. Nuxeo &Semantic ECM

Nuxeo: an open source ECM vendor

Our Focus is Enterprise Content Management

ECM as a Platform for Content Applications

Open Source as Efficient Development Model

Modern architecture for 21st Century business

“Lean, mobile, social, interoperable”

A Social Marketplace in action

Innovation driven by community of customers, partners, and our core developers

Nuxeo ECM - From Platform to Products

PlatformContent

Infrastructure

Nuxeo Enterprise PlatformComplete set of components covering all aspects of ECM

Nuxeo CoreLightweight, scalable, embeddable content repository

HorizontalPackages

DocumentManagement

Digital AssetManagement

CaseManagement

Framework

StructuredDocument

Server

ContentAggregator

Business Solutions

Correspondence Management

Contracts Management

Invoice ProcessingRecords

Management

Construction Media Government Life Sciences

Major Customers

Goals for Semantic ECM

Repurpose existing content

Improve search and collaboration

Make information contextual

Extract and use information from your content

Make your content smarter!

Semantic ECM

Content

Semantic ECM

Content

Meaning

Metadata

Relations

EntitiesTags

Reasoning

Semantic ECM

Content

Meaning

Metadata

Relations

EntitiesTags

Reasoning

Semantic ECM

Content Stack vs. Knowledge Cake

Architectural Challenge

Business valuefrom semantic ECM

Efficiency gains: 20% to 90% (ex: in search, collaboration)

Effectiveness gains: better returns from your assets (ex: news and images from AFP)

Strategic edge: growth, value capture, new services, gain unfair strategic advantage (ex: vertical ontologies for CEVAs / CCAs)

How does it work?

IKS project

• European project under the FP7, with 13 partners (6 SMEs) and a 8.5 MEUR budget

• Goal: create a semantic software “stack” that will be used by CMS vendors to add semantic features to their products

• Started in Jan. 2009, will last until Dec. 2012

• First tangible result: Apache Stanbol, already integrated in a Nuxeo plugin

Stanbol: a semantic engine

• From unstructured content to Knowledge

• Language guessing

• Topic classification (Business, Sports, Media, ...)

• Named Entities extraction and linking

• Relationships and properties extraction

• Pluggable with proprietary engines (ex: Temis)

RESTfulis

Beautiful

= Semantic Engines

(Apache OpenNLP) +

Fast Linked Data local index(Apache Solr)

+ Semantic Rule Engine

(Apache Jena)Wednesday, May 25, 2011

Local IT infrastructure (LAN) 65

Nuxeo DM

Apache Stanbol

Engine 1

Engine 2

Engine 3

DBpedia

Freebase

GeonamesLDAP

How to try it?

https://connect.nuxeo.com/nuxeo/site/marketplace/category/semanticWednesday, May 25, 2011

• Nuxeo EP 5.4.2 (next week) will have significant improvements to enable new features of the semantic plugins

• Source code here: http://hg.nuxeo.org/addons/nuxeo-platform-semantic-entities/

• Join us at the IKS Paris Workshop on July 5-6 to learn much more about Nuxeo and semantic technologies!

Resources• http://iks-project.eu

• http://stanbol.demo.nuxeo.com

• http://incubator.apache.org/stanbol

• http://blogs.nuxeo.com/dev

• http://hadoop.apache.org/

• http://incubator.apache.org/opennlp/

Questions?

Up Next!

Live Demo - Nuxeo StudioJune 1, 2011

Building Packages for the Nuxeo Marketplace

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