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The Pragmatic Web
       (and its many relations)
  Adrian Paschke                   Hans Weigand
Corporate Semantic Web           Faculty of Economics
 Freie Universität Berlin         Tilburg University

             Co-Chairs Pragmatic Web
              www.pragmaticweb.info

7th AIS SIGPRAG International Conference Session on
                  Pragmatic Web
                            at
        6th International Symposium on Rules
                     RuleML 2012
          Montpellier, France, August 2012
The Semantic Web

• "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                        2007 W3C Semantic Web Stack


• „Make the Web
  understandable for
  machines“
                                                       2
Core Semantic Technologies

1. Rules
  –   Describe conclusions and reactions from given information
      (inference)
  –   Declarative knowledge representation:

      “express what is valid, the responsibility to interpret this and
      to decide on how to do it is delegated to an interpreter /
      reasoner”

2. Ontologies
  –   Ontologies described the common knowledge of a domain
      (semantics):
      • “An ontology is an explicit specification of a
        conceptualization “ T. Gruber
       Semantics interoperability between (connected)
        vocabularies



                                                                   3
Corporate Semantic Web

Corporate Semantic Web (CSW) is
used to describe the application of
Semantic Web technologies and
Knowledge Management
methodologies in corporate
environments.




                                      4
Corporate Semantic Web

 1. Application of Semantic Web technologies in
    enterprise information systems (Semantic
    Enterprise)
    •   Collaborative workflows and (business) process management
        (e.g. Internet of Services, e-Science workflows, Semantic
        Business Process Management)
    •   Knowledge Management
        (e.g. Semantic Knowledge Management, Semantic Corporate
        Memory, Semantic Ad-hoc BI and Semantic CEP)


 2. Corporate = Business Context
    •   Application of Semantic Web technologies under economical
        considerations and business conditions (e.g. cost models, return
        on investment)


                                                                       5
Corporate vs. Public Semantic Web
• Closed information systems / Intranet solutions
  with known interfaces between systems,
  services and domains
• Known user groups within enterprise network(s)
• Usage of the existing enterprise IT
  infrastructure, information, and knowledge is
  constrained by the existing business rules,
  policies and workflows/processes
• Data view: closed, often (semi-)structured data
  with known data models (e.g., relational,
  object-oriented, XML, …)
• Logic view: partial closed world assumption,
  partial unique name assumption, constructive
  views
                                                    6
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)




                                   7
Social Semantic Web vs.
Public/Corporate/Pragmatic Semantic Web
• Social Semantic Web = Web of collective
  knowledge systems
• Focus: Tools in which the central social
  interactions on the Web plays a role. These
  tools lead to the development of explicit
  semantic representations
• Combines technologies, strategies and
  methods of the Semantic Web, Social
  Software and Web 2.0
• Finds applications in Corporate Semantic
  Web as well as Public Semantic Web and in
  particular Pragmatic Web
                                                8
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)



                                          9
Language Action Perspective

• The Language Action Perspective
  (LAP) argues that language is not
  only used for exchanging
  information, (as in reports or
  statements etc.) but also to perform
  actions (as in promises, orders,
  requests, and declarations etc)
  (Schoop 2001; Weigand 2003).



                                     10
The Pragmatic Web - Internet as a platform
 of communication and coordination




• Distinguishing the physical event as such (happening
  in time/space) from
   – the value it has for humans / agents in terms of
     commitments
   – leading e.g. economic value

    The value aspect highlights the “why” of the coordination.
                                                            11
Organisational Semiotics

• Organisational semiotics examines
  the nature, characteristics and
  features of information, and studies
  how information can be best used in
  the context of organised activities
  and business domains.
              (Kecheng Liu et al. 2002)




                                      12
Pragmatic Agent Web

 The Pragmatic Agent Web utilize the
Semantic Web with multiple interacting
intelligent agents which collaborate on
the Web and put independent meta data,
ontologies and local data into a pragmatic
context such as communicative
situations, organizational norms, purposes
or individual goals and values. (Paschke
2007)



                                        13
Pragmatic Agent Web
• Utilize the heterogenous Semantic Web resources, meta data
  and meaning representations with intelligent agents and
  web-based services with the ability to understand the
  others intended meaning (pragmatic competence)
   –   Formal Logic Representation vs. (Controlled) Natural Language
       Representation

• Collaborate in a communicative conversation-based
  process where content and context is interchanged in terms
  of messages (relation of signs) between senders and
  receivers (interpreters/users).
   –   Loosley-coupled vs. de-coupled interactions
   –   Fixed negotiation and coordination protocols vs. free conversations

• Pragmatic layer/wrapper around semantic/content e.g. by
  KQML / ACL like speech-act primitives (e.g. assert(content),
  retract(content), query(kb))
   – Model, negotiate and control shared and invividual meanings
      requires learning and knowledge adaption / updates
                                                                             15
Conclusion: Challenges for the Pragmatic Web

Connectedness


                                 Intelligence / Wisdom

                                      understanding
                                                                    Pragmatics
                                      principles
                      Knowledge

                           Understanding
                                                               Sematics
                           patterns
       Information / Content


            Understanding relations                   Syntax


Data          Ontologies          Rules          ???            Understanding
                 (Logic)           (Logic)   (Human Logic +
                                              Machine Logic)
                                                                          16
Understanding
                    Vision: Ubiquitous Pragmatic Web 4.0
                                                       Pragmatic Agent
                                                         Ecosystems
                                                                          Ubiquitous Pragmatic Web 4.0
  Machine




                               Pragmatic Web                              Connects Intelligent Agents and Smart
                                                                                          Things
                                                                                                    Ubiquitous autonomic
                                                                                                     Smart Services and
                                                                                                           Things
                                                       Social Semantic Web 3.0,
                 Semantic Web                          Web of Services & Things,
                                                       Corporate Semantic Web
                                                      Connects People, Services and Things

                                               Semantic Web 2.0
    Syntactic Web                               Connects Knowledge


                            World Wide Web 1.0
                                                                 Passive                                  Active
                              Connects Information




                                                                                                                  Consumer
                                                                                                      Agents
                                                               Producer


                                                                             HTML




                                                                                                      Smart
                                                               Content




                                                                                        XML
                                                                                        RDF
                  Monolithic
Deskto
                 Systems Era
  p
                Desktop Computing                                           Syntactic   Semantic Pragamtic
                                                                              Web         Web       Web


                                      Ubiquitous Next Generation Agents and Social Connections
                                                                                                               17
The Pragmatic Web Research Community

             www.pragmaticweb.info

 Association for Information Systems Special Interest Group
                       "Pragmatic Web"

                       (AIS SIGPRAG)




                http://www.corporate-semantic-web.de
                            AG Corporate Semantic Web
                              Freie Universität Berlin
                     http://www.inf.fu-berlin.de/groups/ag-csw/

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7th AIS SigPrag International Conference on Pragmatic Web (ICPW 2012)

  • 1. The Pragmatic Web (and its many relations) Adrian Paschke Hans Weigand Corporate Semantic Web Faculty of Economics Freie Universität Berlin Tilburg University Co-Chairs Pragmatic Web www.pragmaticweb.info 7th AIS SIGPRAG International Conference Session on Pragmatic Web at 6th International Symposium on Rules RuleML 2012 Montpellier, France, August 2012
  • 2. The Semantic Web • "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 2007 W3C Semantic Web Stack • „Make the Web understandable for machines“ 2
  • 3. Core Semantic Technologies 1. Rules – Describe conclusions and reactions from given information (inference) – Declarative knowledge representation: “express what is valid, the responsibility to interpret this and to decide on how to do it is delegated to an interpreter / reasoner” 2. Ontologies – Ontologies described the common knowledge of a domain (semantics): • “An ontology is an explicit specification of a conceptualization “ T. Gruber  Semantics interoperability between (connected) vocabularies 3
  • 4. Corporate Semantic Web Corporate Semantic Web (CSW) is used to describe the application of Semantic Web technologies and Knowledge Management methodologies in corporate environments. 4
  • 5. Corporate Semantic Web 1. Application of Semantic Web technologies in enterprise information systems (Semantic Enterprise) • Collaborative workflows and (business) process management (e.g. Internet of Services, e-Science workflows, Semantic Business Process Management) • Knowledge Management (e.g. Semantic Knowledge Management, Semantic Corporate Memory, Semantic Ad-hoc BI and Semantic CEP) 2. Corporate = Business Context • Application of Semantic Web technologies under economical considerations and business conditions (e.g. cost models, return on investment) 5
  • 6. Corporate vs. Public Semantic Web • Closed information systems / Intranet solutions with known interfaces between systems, services and domains • Known user groups within enterprise network(s) • Usage of the existing enterprise IT infrastructure, information, and knowledge is constrained by the existing business rules, policies and workflows/processes • Data view: closed, often (semi-)structured data with known data models (e.g., relational, object-oriented, XML, …) • Logic view: partial closed world assumption, partial unique name assumption, constructive views 6
  • 7. 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) 7
  • 8. Social Semantic Web vs. Public/Corporate/Pragmatic Semantic Web • Social Semantic Web = Web of collective knowledge systems • Focus: Tools in which the central social interactions on the Web plays a role. These tools lead to the development of explicit semantic representations • Combines technologies, strategies and methods of the Semantic Web, Social Software and Web 2.0 • Finds applications in Corporate Semantic Web as well as Public Semantic Web and in particular Pragmatic Web 8
  • 9. 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) 9
  • 10. Language Action Perspective • The Language Action Perspective (LAP) argues that language is not only used for exchanging information, (as in reports or statements etc.) but also to perform actions (as in promises, orders, requests, and declarations etc) (Schoop 2001; Weigand 2003). 10
  • 11. The Pragmatic Web - Internet as a platform of communication and coordination • Distinguishing the physical event as such (happening in time/space) from – the value it has for humans / agents in terms of commitments – leading e.g. economic value  The value aspect highlights the “why” of the coordination. 11
  • 12. Organisational Semiotics • Organisational semiotics examines the nature, characteristics and features of information, and studies how information can be best used in the context of organised activities and business domains. (Kecheng Liu et al. 2002) 12
  • 13. Pragmatic Agent Web The Pragmatic Agent Web utilize the Semantic Web with multiple interacting intelligent agents which collaborate on the Web and put independent meta data, ontologies and local data into a pragmatic context such as communicative situations, organizational norms, purposes or individual goals and values. (Paschke 2007) 13
  • 14. Pragmatic Agent Web • Utilize the heterogenous Semantic Web resources, meta data and meaning representations with intelligent agents and web-based services with the ability to understand the others intended meaning (pragmatic competence) – Formal Logic Representation vs. (Controlled) Natural Language Representation • Collaborate in a communicative conversation-based process where content and context is interchanged in terms of messages (relation of signs) between senders and receivers (interpreters/users). – Loosley-coupled vs. de-coupled interactions – Fixed negotiation and coordination protocols vs. free conversations • Pragmatic layer/wrapper around semantic/content e.g. by KQML / ACL like speech-act primitives (e.g. assert(content), retract(content), query(kb)) – Model, negotiate and control shared and invividual meanings  requires learning and knowledge adaption / updates 15
  • 15. Conclusion: Challenges for the Pragmatic Web Connectedness Intelligence / Wisdom understanding Pragmatics principles Knowledge Understanding Sematics patterns Information / Content Understanding relations Syntax Data Ontologies Rules ??? Understanding (Logic) (Logic) (Human Logic + Machine Logic) 16
  • 16. Understanding Vision: Ubiquitous Pragmatic Web 4.0 Pragmatic Agent Ecosystems Ubiquitous Pragmatic Web 4.0 Machine Pragmatic Web Connects Intelligent Agents and Smart Things Ubiquitous autonomic Smart Services and Things Social Semantic Web 3.0, Semantic Web Web of Services & Things, Corporate Semantic Web Connects People, Services and Things Semantic Web 2.0 Syntactic Web Connects Knowledge World Wide Web 1.0 Passive Active Connects Information Consumer Agents Producer HTML Smart Content XML RDF Monolithic Deskto Systems Era p Desktop Computing Syntactic Semantic Pragamtic Web Web Web Ubiquitous Next Generation Agents and Social Connections 17
  • 17. The Pragmatic Web Research Community www.pragmaticweb.info Association for Information Systems Special Interest Group "Pragmatic Web" (AIS SIGPRAG) http://www.corporate-semantic-web.de AG Corporate Semantic Web Freie Universität Berlin http://www.inf.fu-berlin.de/groups/ag-csw/