semantic web from the 2013 perspective
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DESCRIPTION
Lecture at 2nd MakoLab Semantic Day – Theory and Praxisat the Polish Academy of Sciences in Paris, October 3rd, 2013TRANSCRIPT
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Semantic Web from the 2013 Perspective
2nd MakoLab Semantic Day – Theoria and Praxis Polish Academy of Sciences, October 3rd, 2013
Prof. Dr. Adrian Paschke
Department of Information Systems
Poznan University of Economics and Freie Universitaet Berlin
Prof. Dr. Witold Abramowicz
Department of Information Systems
Poznan University of Economics http://kie.ue.poznan.pl/en
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Scientific Center of the Polish Academy of Sciences in Paris
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Poznan University of Economics
specialises in educating economists,
managers and specialists in quality
management in all sectors of the
economy
Research labs
Enterprise platforms and systems
Service science
Next Generation Internet
Semantic as a leitmotif
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Semantic related EU projects
SUPER – Semantics Utilised for Process Management within and between Enterprises
ASG – Adaptive Services Grid
INSEMTIVES – Incentives for Semantics
EASTWEB: building an integrated leading Euro-Asian higher education and research community in the field of the Semantic
USE-ME.GOV - Usability driven open platform for mobile government
T-OWL – Time-determined Ontology based knowledge system for real time stock market analysis
Service Web 3.0
ENIRAF - Enhanced Information Retrieval and Filtering for Analytical Systems
KnowledgeWeb
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Other semantic related projects
eDW – enhanced Data Warehouse
eVEREst – The System to Support Government’s Estimation of Real Estates’ Value
F-WebS – Filtering of Web services – semantic description of Web services
Adaptive microWorkflow – Acquisition and Filtering of Information for the Needs of Adaptive microWorkflows
EGO – Identity management
Semiramida – ontological representation of legal acts
Integror-S3 – Semantically-Enhanced Execution Engine
eXtraSpec – Advanced data extraction methods for the needs of expert search
ASBK – Adaptive Systems for Corporate Banking
FEMS – Future Energy Management System
DWDI – Deep Web Data Integration
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Agenda
What is Semantics?
The Semantic Web – An
Introduction
Semantic Web and it’s Relations
What comes next?
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What is Semantics?
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Search Results from Publication Database
Lorenz P, Transcriptional repression mediated by the KRAB domain of the human C2H2 zinc finger protein Kox1/ZNF10 does not require histone deacetylation. Biol Chem. 2001 Apr;382(4):637-44.
Fredericks WJ. An engineered PAX3-KRAB transcriptional repressor inhibits the malignant phenotype of alveolar rhabdomyosarcoma cells harboring the endogenous PAX3-FKHR oncogene. Mol Cell Biol. 2000 Jul;20(14):5019-31. ...
Author
Title
Year Journal
However, for a machine things look different!
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Results from Publication Database
Lorenz P, Transcriptional repression
mediated by the KRAB domain of the
human C2H2 zinc finger protein
Kox1/ZNF10 does not require histone
deacetylation.
Biol Chem. 2001 Apr;382(4):637-44.
Fredericks WJ. An engineered PAX3-
KRAB transcriptional repressor inhibits
the malignant phenotype of alveolar
rhabdomyosarcoma cells harboring the
endogenous PAX3-FKHR oncogene.
Mol Cell Biol. 2000
Jul;20(14):5019-31.
Solution:
Tags (XML)?
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Results from Publication Database
<author>Lorenz P</author><title>Transcriptional repression
mediated by the KRAB domain of the human C2H2 zinc finger
protein Kox1/ZNF10 does not require histone deacetylation.
</title>
<journal>Biol Chem </journal><year>2001<year>
<author>Lorenz P</author><title>Transcriptional repression
mediated by the KRAB domain of the human C2H2 zinc finger
protein Kox1/ZNF10 does not require histone deacetylation.
</title>
<journal>Biol Chem </journal><year>2001<year>
... However, for a machine things look different!
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Results from Publication Database
<author>Lorenz
P</author><title>Transcriptional
repression mediated by the KRAB
domain of the human C2H2 zinc finger
protein Kox1/ZNF10 does not require
histone deacetylation. </title>
<journal>Biol Chem
</journal><year>2001<year>
<author>Lorenz
P</author><title>Transcriptional
repression mediated by the KRAB
domain of the human C2H2 zinc finger
protein Kox1/ZNF10 does not require
histone deacetylation. </title>
<journal>Biol Chem
</journal><year>2001<year>
Solution: Use Semantic
Knowledge
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Example: Traffic Light Syntax – Semantics - Pragmatics
Syntax
green (bottom); yellow; red
Semantics
green = go; …; red = stop
Pragmatics
If red and no traffic
then allowed to go
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Example: Question-Answer Interaction Syntax – Semantics - Pragmatics
Syntax
“What time is it?” (English)
Semantics
Question about current time (Meaning)
Pragmatics
An answer to the question is obligatory
(even if time is unknown) (Understanding
and Commitment)
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Example - XML Syntax vs. Semantics
Adrian Paschke is a lecturer of Logic Programming
<course name=“Logic Programming">
<lecturer>Adrian Paschke</lecturer>
</course>
<lecturer name=“Adrian Paschke">
<teaches>Logic Programming</teaches>
</lecturer>
Opposite nesting (syntax), same meaning (semantics)!
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Syntax
about form
Semantics
about meaning
Pragmatics
about use.
Syntax – Semantics - Pragmatics
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Semantic Technologies for Declarative Knowledge Representation
1. Rules Describe derived conclusions
and reactions from given information (inference)
2. Ontologies Ontologies described the conceptual
knowledge of a domain (concept semantics) Partner
Customer
is a
equal with
Client
if premium(Customer)
then discount(10%)
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Example: Ontology and Rules
Object
Person Document Topic
Patentee
Patent Application Patent
becomes
knows described_in
is_a-1
is_a-1
is_a-1
is_a-1
is_a-1
writes
related_to
Skill
has related_to
Topic Document Topic Document
Patent Application
Topic Patentee Topic
described_in
is_about knows
is_about
Patentee writes
RULES:
Patentee Skill has
granted Technique Teaching
described_in
Priority date
Prior Art
Ontology
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Main Requirements of a Logic-based Ontology / Rule Language in IT
a well-defined syntax
a formal semantics
efficient reasoning support
sufficient expressive power
convenience/adequacy of expression syntax
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The Semantic Web
An Introduction
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Semantic Web – An Introduction
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation." Tim Berners-Lee, James Hendler,
Ora Lassila, The Semantic Web
„Make the Web understandable for machines“
W3C Stack 2007
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Main Building Blocks of the Semantic Web
1. Explicit Metadata on the WWW
2. Ontologies
3. Rule Logic and Inference
4. Semantic Tools ,Semantic Web Services,
Software Agents
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The (current) W3C Semantic Web Stack
W3C Semantic Web Stack since 2007
Ontologies
Rules
Semantic Web Information Model
RDF Query Language
Standard Internet Technologies
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Overview on the Semantic Web Technologies
URI/IRI: Web Resource Identifiers
RDF
RDF as Web data model for facts and metadata
RDF schema (RDFS) as simple ontology language
(mainly taxonomies)
SPARQL as a RDF query language
Linked Data – data publishing method
Ontology
Expressive ontology languages
Web Ontology Language (OWL)
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Overview on the Semantic Web Technologies (2)
Rules / Logic Extension of the ontology languages, e.g. with rules
Rule Interchange Format (RIF, RuleML)
Proof Generation of proofs-, interchange of proofs, validation
Trust Digital signatures
recommendations, ratings
Semantic Web Applications & Interfaces e.g. Semantic Search, Semantic Agents, …
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W3C Semantic Web (state: 2013)
IRIs + CURIE (Compact URI)
RDF 1.1, HTML+RDFa 1.1, RDB2RDF
SPARQL 1.1
RIF 1.0 (second edition)
OWL 2.0 (second edition)
Linked Open Data
RDF 1.1, Turtel, JSON-LD 1.1, …
Provenance
Prov-DM, Prov-N, Prov-O, …
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Linked Open Data Cloud
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Unifying Logic
W3C Semantic Web Stack since 2007
• Not standardized in W3C Semantic Web stack yet
• Which semantics? (e.g., Description Logics, F-Logic, Horn Logic, Common
Logic,…)
• Which assumptions? (e.g., Closed World, Open World, Unique Name, …)
• …
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Proof and Trust • Proof Markup Languages, Justifications and Argumentations, Provenance
Proofs • Claims can be verified, if there are evidences from other (trusted) Internet
sources • Semantic Reputation Models • …
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Use Cases / Applications / Tools Application Programming Interfaces
Semantic-enriched Search
Content management
Knowledge management
Business intelligence
Collaborative user interfaces
Sensor-based services
Linking virtual communities
Grid infrastructure
Semantic Multimedia data management
Semantic Web Services
etc. see e.g.SWEO’s use case collection http://www.w3.org/2001/sw/sweo/public/UseCases/
More about applications and use cases this afternoon…
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The Semantic Web
and it‘s relations
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Other Semantic Standards/Specifications
ISO/IEC JTC 1/SC 32
ISO/IEC 11179
Metadata
Registries
Metadata Registry
Terminology Thesaurus Taxonomy
Data
Standards
Ontology
Structured
Metadata
Terminology
CONCEPT
Referent
Refers To Symbolizes
Stands For
“Rose”,
“ClipArt
Rose”
ISO TC 37
Semantic
Web
W3C
Modeling
MOF
ODM
PRR
SBVR
API4KB
OntoIOP
OMG
Node
Node
Edge
Subject
Predicate
Object
Graph RDF(S) / OWL
SPARQL,RIF
Logic
Common
Logic
Prolog
ISO,
RuleML,…
FOL
RuleML
F-Logic
Metadata
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Ontology Definition Metamodel
ODM brings together the communities (SE+KR) by providing:
Broad interoperation within Model Driven Architecture
MDA tool access to ontology based reasoning capability
UML notation for ontologies and ontological interpretation of UML
M2
M1
M3 MOF XMI
Of UML
UML XMI
Of User Model
MOF
UML
M0 User
Instances
User
Ontology
User
UML Model
MOF XMI
Of ODM
ODM Ontology XMI
Of User Model
ISO Topic Maps
ISO CL
W3C RDFS
W3C OWL
UML 2 (+OCL)
Example: OMG Ontology Definition Metamodel (ODM)
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Example: Rule Markup Language Standards (RuleML)
RuleML 1.0 (Deliberation, Reaction, Defeasible, Modal, …)
Semantic Web Rule Language (SWRL)
Uses RuleML Version 0.89
Semantic Web Services Language (SWSL)
Uses RuleML Version 0.89
W3C Rule Interchange Format (RIF)
Uses RuleML Version 0.91 with frames and slots
OASIS LegalRuleML
Uses RuleML Version 1.0
OMG Production Rules Representation (PRR)
Input from RuleML
OMG Application Programming Interfaces four KBs (API4KB)
Input from Reaction RuleML 1.0
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Social Semantic Web
The concept of the Social Semantic Web
subsumes developments in which social
interactions on the Web lead to the creation
of explicit and semantically rich knowledge
representations. (Wikipedia)
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Corporate Semantic Web
Corporate Semantic Web (CSW) address
the applications of Semantic Web
technologies and Knowledge Management
methodologies in corporate environments
(semantic enterprises).
(www.corporate-semantic-web.de)
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Corporate Semantic Web
Corporate Semantic Web
Corporate Semantic
Engineering
Corporate Semantic
Search
Corporate Semantic
Collaboration
Public Semantic Web
Corporate Business Information Systems
Business Context
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Pragmatic Web
The Pragmatic Web consists of the tools,
practices and theories describing why and how
people use information. In contrast to the
Syntactic Web and Semantic Web the Pragmatic
Web is not only about form or meaning of
information, but about interaction which brings
about e.g. understanding or commitments.
(www.pragmaticweb.info)
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Challenges for the Semantic Web
Syntax
Sematics
Pragmatics
Data Understanding
Connectedness
Information / Content
Knowledge
Intelligence / Wisdom
Understanding relations
Understanding patterns
understanding principles
Ontologies (Logic)
Rules (Logic)
??? (Human Logic + Machine Logic)
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Pragmatic Web
Ubiquitous Open Web Platform for the Pragmatic Web 4.0
Monolithic
Systems Era
Desktop Computing
Desktop
World Wide Web 1.0
Connects Information
Syntactic Web
Semantic Web 2.0 Connects Knowledge
Social Semantic Web 3.0,
Web of Services & Things,
Corporate Semantic Web Connects
People, Services and Things
Ubiquitous Pragmatic Web 4.0 Connects Intelligent Agents and Smart Things
Semantic Web
Ubiquitous autonomic
Smart Services and
Things
Pragmatic Agent
Ecosystems
Ma
ch
ine
Un
ders
tan
din
g
Ubiquitous Next Generation Agents and Social Connections
Syntactic Web
Semantic Web
Pragmatic Web
HT
ML
XM
L
RD
F
Sm
art
A
ge
nts
Co
nte
nt
Pro
du
ce
r
Passive Active
Co
nsu
me
r
Smart Content
Smart Content
Smart Web TV
Massive
Multi-player Web Gaming
Situation Aware Real-time Semantic
Complex Event Processing
W3C Open Web Platform
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Thank you …
Questions?
AG Corporate Semantic Web, FU Berlin [email protected]
http://www.inf.fu-berlin/groups/ag-csw/
http://www.corporate-semantic-web.de http://www.pragmaticweb.info