ON THE ROAD TO BUSINESS APPLICATIONS OF SEMANTIC WEB TECHNOLOGY Sematic Web in Business - How to Proceed IASW2005 - 27.8.2005 Kari Oinonen Kiertotie 14.

Slides:



Advertisements
Similar presentations
Cultural Heritage in REGional NETworks REGNET Project Meeting Content Group Results, open issues, workplan
Advertisements

Wincite Knowledge Warehousing and Networking Sophisticated Simplicity.
Key-word Driven Automation Framework Shiva Kumar Soumya Dalvi May 25, 2007.
The Open Group Architecture Framework (TOGAF) Version 7.
OMG Architecture Ecosystem SIG Federal CIO Council Data Architecture Subcommittee May 2011 Cory Casanave.
e-Framework Components and Responsibilities.
U.S. IOOS ® Requirements Marketplace? March 8, 2013 Carl Gouldman, Debra Hernandez 1.
SmartER Semantic Cloud Sevices Karuna P Joshi University of Maryland, Baltimore County Advisors: Dr. Tim Finin, Dr. Yelena Yesha.
1 Introduction to XML. XML eXtensible implies that users define tag content Markup implies it is a coded document Language implies it is a metalanguage.
Language Technologies Mash-Ups Wolfgang Greller (OUNL) Bernhard Hoisl (WUW) Kamakshi Rajagopal (OUNL) JTEL Winterschool Innsbruck 4 February 2010 The LTfLL.
Semantic Web and Web Mining: Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006.
Small Tools and Interoperability Arend Rensink Formal Methods and Tools University of Twente.
Thee-Framework for Education & Research The e-Framework for Education & Research an Overview TEN Competence, Jan 2007 Bill Olivier,
SmartResource: Proactive Self-Maintained Resources in Semantic Web TEKES Project proposal Vagan Terziyan, Project Leader Industrial Ontologies Group Agora.
1 IS112 – Chapter 1 Notes Computer Organization and Programming Professor Catherine Dwyer Fall 2005.
How to Manage Convergence ? DIGIT B2 - MIA – EA Team Dana Mateescu November 2010.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 18 Slide 1 Software Reuse 2.
What is Business Analysis Planning & Monitoring?
MDC Open Information Model West Virginia University CS486 Presentation Feb 18, 2000 Lijian Liu (OIM:
Help!!! Some Future Semantic Grid Activities CrisisGrid and ServoGrid PTLIU Laboratory for Community Grids Geoffrey Fox Computer Science, Informatics,
©Ian Sommerville 2006Software Engineering, 8th edition. Chapter 18 Slide 1 Software Reuse.
Software Engineering Muhammad Fahad Khan
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 18 Slide 1 Software Reuse.
1/ 27 The Agriculture Ontology Service Initiative APAN Conference 20 July 2006 Singapore.
Adaptive Services Grid FP6 – IST Develop a prototype of an open development platform for adaptive services registration,
Smart Buildings Srirangarajan Kadaba National Manager – Energy Edge Buildings Business Schneider Electric 21June 2010.
Framework: ISA-95 WG We are here User cases Studies
Thirteenth Lecture Hour 8:30 – 9:20 am, Sunday, September 16 Software Management Disciplines Process Automation (from Part III, Chapter 12 of Royce’ book)
©Ian Sommerville 2000 Software Engineering, 6th edition. Slide 1 Component-based development l Building software from reusable components l Objectives.
2 Systems Architecture, Fifth Edition Chapter Goals Describe the activities of information systems professionals Describe the technical knowledge of computer.
SCSC 311 Information Systems: hardware and software.
Met a-data Resources in Europe: within NSIs and from Dosis Projects Wilfried Grossmann Department of Statistics and Decision Support Systems University.
1 Infrastructure Solutions Division The Convergence of Architectural and Engineering Design and GIS: Implications for Emergency Response and Urban Planning.
Ontology Summit2007 Survey Response Analysis -- Issues Ken Baclawski Northeastern University.
Metadata and Geographical Information Systems Adrian Moss KINDS project, Manchester Metropolitan University, UK
Creating Business Impact | Providing Expert Solutions | Delivering Quality Consistently | Building Partnerships Globally Large-Scale Enterprise GIS Systems.
Linked-data and the Internet of Things Payam Barnaghi Centre for Communication Systems Research University of Surrey March 2012.
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
Topic Rathachai Chawuthai Information Management CSIM / AIT Review Draft/Issued document 0.1.
University of Southern California Center for Systems and Software Engineering Model-Based Software Engineering Supannika Koolmanojwong Spring 2013.
An Ontological Framework for Web Service Processes By Claus Pahl and Ronan Barrett.
From Objects to Assets: The Fungibility of Knowledge Christopher W. Higgins, Esq.
Fifth Lecture Hour 9:30 – 10:20 am, September 9, 2001 Framework for a Software Management Process – Life Cycle Phases (Part II, Chapter 5 of Royce’ book)
W HAT IS I NTEROPERABILITY ? ( AND HOW DO WE MEASURE IT ?) INSPIRE Conference 2011 Edinburgh, UK.
Grid Computing & Semantic Web. Grid Computing Proposed with the idea of electric power grid; Aims at integrating large-scale (global scale) computing.
ICCS WSES BOF Discussion. Possible Topics Scientific workflows and Grid infrastructure Utilization of computing resources in scientific workflows; Virtual.
Semantic Web: The Future Starts Today “Industrial Ontologies” Group InBCT Project, Agora Center, University of Jyväskylä, 29 April 2003.
Building a Topic Map Repository Xia Lin Drexel University Philadelphia, PA Jian Qin Syracuse University Syracuse, NY * Presented at Knowledge Technologies.
Click to add text SUITE SEM Implementation Process Training.
Introduction to Semantic Web Service Architecture ► The vision of the Semantic Web ► Ontologies as the basic building block ► Semantic Web Service Architecture.
Chapter © 2012 Pearson Education, Inc. Publishing as Prentice Hall.
Harvesting Social Knowledge from Folksonomies Harris Wu, Mohammad Zubair, Kurt Maly, Harvesting social knowledge from folksonomies, Proceedings of the.
Metadata By N.Gopinath AP/CSE Metadata and it’s role in the lifecycle. The collection, maintenance, and deployment of metadata Metadata and tool integration.
IT and Network Organization Ecommerce. IT and Network Organization OPTIMIZING INTERNAL COLLABORATIONS IN NETWORK ORGANIZATIONS.
E-Science Security Roadmap Grid Security Task Force From original presentation by Howard Chivers, University of York Brief content:  Seek feedback on.
ETICS An Environment for Distributed Software Development in Aerospace Applications SpaceTransfer09 Hannover Messe, April 2009.
International Workshop 28 Jan – 2 Feb 2011 Phoenix, AZ, USA Modeling Standards Activity Team Model-based Systems Engineering (MBSE) Initiative Roger Burkhart.
The Agricultural Ontology Server (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Food and Agriculture Organization.
Requirement Engineering Management Amna Shifia Nisafani Feby Artwodini M. Department of Information Systems Subject : Requirement Engineering.
Coordination and Policy Development in Preparation for a European Open Biodiversity Knowledge Management System Supported by the European Commission through.
Siri Jodha Khalsa CIRES, Univ. of Colorado
The Systems Engineering Context
CS & CS Capstone Project & Software Development Project
Enterprise Data Model Enterprise Architecture approach Insights on application for through-life collaboration 2018 – E. Jesson.
Chapter 1: The Database Environment
The Database Environment
Module 2 Topics Information technology governance: Organization and planning for IS.
Australian and New Zealand Metadata Working Group
Presentation transcript:

ON THE ROAD TO BUSINESS APPLICATIONS OF SEMANTIC WEB TECHNOLOGY Sematic Web in Business - How to Proceed IASW Kari Oinonen Kiertotie 14 as 3, Jyväskylä,

Purpose of the paper ● The purpose of the paper is to aid semantic technology to wider use in business applications.

Presentation structure ● Business applications and Semantic WEB ● Development trends and Semantic WEB ● On the need of general application and business framework ● Road Map Plan ● How to continue

Business applications and Semantic WEB ● General status of sematic Web in business applications ● Topics that slow down adoption of this technology into business use

Business applications and Semantic WEB ● Applications are existing: ● Public applications ● Industrial applications ● Applications that are not public ● General status of sematic Web in business applications

Business applications and Semantic WEB ● Topics that slow down adoption of this technology into business use: ● Complexcity of the technology or its usage. ● The technology and its potential is not yet generally known in business world. ● Publicly available technology examples are more or less trivial. ● Existing business applications and business models. ● Guarantee of investments in the technology. ● New application areas are not easy to recognice. ● Lack in the integration of problem, domain and technology expertice. ● General status of sematic Web in business applications

Development trends and Semantic WEB ● Life-cycle ● Dynamization ● Multiplication cycle ● Transition from macro to micro level ● Synchronization ● Scaling up or down ● Uneven development of parts ● Automation Ref. Altchuller, G ● General technology trends:

Development trends and Semantic WEB ● Technology convergence in telecommunication. ● Internet infrastructure gaining importance. ● Changes in communication technology:

Development trends and Semantic WEB ● Complexity is increasing. ● Management of information related to several different life-cycle -phases of a product or service. ● Management of information belonging to different engineering disciplines. ● Management of information originally created and maintained in separate IT systems or solutions. ● Management of information originally created and maintained in different organizations. ● Changes in business needs:

On the need of general application and business framework ● More interoperability between semantic applications. ● Many of the needed tools in technology are available, but a common understanging of how to use those tools is lacking. ● Road map -process creates a more unified view of how the technology can or could be used best way. ● Road map -description aids other people to understand the technology, how it can be used, relations to other needed or beneficial technologies, where it can be used and what will be future development steps. ● Ontology management. ● Information security.

Road map plan ● Road map definition process ● Use suitable well defined format. ● See an example in the next slide. ● Have appropriate people and organizations involved. ● Look at interdepencencies.

2 Theme current state 3’ Theme intermediate state 1 Theme vision Start from here Go to the current moment Move to the future The Roadmap ProcessThe Roadmap Documentation Steps to the vision Current state Positives, what is good, what we can, what exists Negatives, to be developed, restrictions Short term Medium term Long term Theme/Topic and its vision 2 Theme A current state 3 Theme A intermediate state 3’ Theme A intermediate state 1 Theme A vision 2 Theme B current state 3 Theme B intermediate state 3’ Theme B intermediate state 1 Theme B vision 2 Theme C current state 3 Theme C intermediate state 3’ Theme C intermediate state 1 Theme C vision 3 Theme intermediate state

Road map plan ● What semantic technology standards to use and where. ● Relations and connectability to existing standards like STEP or modeling activities like Epistle or CIM-OSA or RUBIC. ● Needed functionality. ● Guarantee of future compatibility ● User interfaces – multidimensionality. ● Information integrity and security. ● Other fitting or supporting technology. ● Road map and technology topic:

Road map plan ● Finding of information and recources. ● Classification of information. ● Information collection. ● Maintenance of information links. ● Information analysis based on other information or knowledge. ● Knowledge management. ● Road map and use cases -topic:

Road map plan ● The meaning of the technology in terms of costs and benefits for the end customer or user. ● The effects of sematic technology in service or knowledge business. ● Enterprise application integration or similar functionality. ● Life-cycle support of products and services. ● Network type of information models in heterogenous environment. ● Current and future needs in industry. ● The most promising application areas for the technology – business point of view. ● Road map and business and usage -topic:

Road map plan ● Existence of and applicability of existing ontologies. ● Possibilities to form ontologies based on existing terms and concepts in use. ● Need of more local ontologies still maintaining interoperability. ● Maintenance and ownership of ontologies. ● Coordination of ontologies management. ● Road map and ontology -topic:

How to continue ● Build a rough Road map plan by a small group of experts. ● Iterate and make changes as needed by input from industry, field experts and standards owners. ● Publish main results of the Roadmap.

Summary ● Business applications and Semantic WEB ● General technology trends and Semantic WEB ● On the need of general application and business framework ● Road Map Plan ● How to continue