Ontoprise: B 3 - Semantic B2B Broker whitepaper review Bernhard Schueler CSCI 8350, Spring 2002,UGA.

Slides:



Advertisements
Similar presentations
Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.
Advertisements

Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
DOCUMENT TYPES. Digital Documents Converting documents to an electronic format will preserve those documents, but how would such a process be organized?
XML: Extensible Markup Language
RDF Schemata (with apologies to the W3C, the plural is not ‘schemas’) CSCI 7818 – Web Technologies 14 November 2001 Van Lepthien.
Semantic Web Thanks to folks at LAIT lab Sources include :
The Semantic Web. The Web Today Designed for Human to read Cannot express meaning Architecture: URL –Decentralized: Link structure Language: html.
Interoperability of Distributed Component Systems Bryan Bentz, Jason Hayden, Upsorn Praphamontripong, Paul Vandal.
Achieving Competitive Advantage and ROI with MetaManager  Metadata Management  Content Enhancements  Standardization  Security and more…
The Web of data with meaning... By Michael Griffiths.
1 CSL Workshop, October 13-14, 2005 ESDI Workshop on Conceptual Schema Language and Tools - Aim, Scope, and Issues to be Addressed Anders Friis-Christensen,
TC3 Meeting in Montreal (Montreal/Secretariat)6 page 1 of 10 Structure and purpose of IEC ISO - IEC Specifications for Document Management.
OWL-AA: Enriching OWL with Instance Recognition Semantics for Automated Semantic Annotation 2006 Spring Research Conference Yihong Ding.
ModelicaXML A Modelica XML representation with Applications Adrian Pop, Peter Fritzson Programming Environments Laboratory Linköping University.
Visual Web Information Extraction With Lixto Robert Baumgartner Sergio Flesca Georg Gottlob.
1 Statistics XML: –Altavista: 800,000 pages returned. –Amazon.com: 242 books. In comparison: –God: 12,000 books, 7 Million pages –Bible: 32,000 books,
1 Extracting RDF Data from Unstructured Sources Based on an RDF Target Schema Tim Chartrand Research Supported By NSF.
CS155b: E-Commerce Lecture 10: Feb. 13, 2003 XML and its relationship to B2B commerce Acknowledgements: R. Glushko, A. Gregory, and V. Ramachandran.
The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.
1 Information Integration and Source Wrapping Jose Luis Ambite, USC/ISI.
OIL: An Ontology Infrastructure for the Semantic Web D. Fensel, F. van Harmelen, I. Horrocks, D. L. McGuinness, P. F. Patel-Schneider Presenter: Cristina.
4/20/2017.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
Vocabulary Services “Huuh - what is it good for…” (in WDTS anyway…) 4 th September 2009 Jonathan Yu CSIRO Land and Water.
Knowledge Mediation in the WWW based on Labelled DAGs with Attached Constraints Jutta Eusterbrock WebTechnology GmbH.
Aurora: A Conceptual Model for Web-content Adaptation to Support the Universal Accessibility of Web-based Services Anita W. Huang, Neel Sundaresan Presented.
Formalizing and Querying Heterogeneous Documents with Tables Krishnaprasad Thirunarayan and Trivikram Immaneni Department of Computer Science and Engineering.
 Copyright 2005 Digital Enterprise Research Institute. All rights reserved. Towards Translating between XML and WSML based on mappings between.
Practical RDF Chapter 1. RDF: An Introduction
Pervasive e-commerce with XML Babak Esfandiari Carleton University Ottawa, Canada.
School of Computing and Management Sciences © Sheffield Hallam University To understand the Oracle XML notes you need to have an understanding of all these.
Research Information System for Materials - Database, Simulation and Knowledge Toshihiro Ashino Toyo University
BA J. Galván1 MULTI- ORGANISATIONAL SYSTEMS Systems that span several organisations.
Introduction of XML editors Naruki Mtisuda Wakayama Univ.
EXtensible Markup Language (XML) and Documentation --ManojBokil -- Manoj Bokil.
November 1, 2006IU DLP Brown Bag : Fall Data Integrity and Document- centric XML Using Schematron for Managing Text Collections Dazhi Jiao, Tamara.
Configuration Management (CM)
XML A web enabled data description language 4/22/2001 By Mark Lawson & Edward Ryan L’Herault.
1 Ontology-based Semantic Annotatoin of Process Template for Reuse Yun Lin, Darijus Strasunskas Depart. Of Computer and Information Science Norwegian Univ.
Metadata. Generally speaking, metadata are data and information that describe and model data and information For example, a database schema is the metadata.
1 Metadata –Information about information – Different objects, different forms – e.g. Library catalogue record Property:Value: Author Ian Beardwell Publisher.
Department of computer science and engineering Two Layer Mapping from Database to RDF Martin Švihla Research Group Webing Department.
Introduction to XML This presentation covers introductory features of XML. What XML is and what it is not? What does it do? Put different related technologies.
©Ferenc Vajda 1 Semantic Grid Ferenc Vajda Computer and Automation Research Institute Hungarian Academy of Sciences.
XML Extras Outline 1 - XML in 10 Points 2 - XML Family of Technologies 3 - XML is Modular 4 - RDF and Semantic Web 5- XML Example: UK GovTalk Group’s Schema.
Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.
XML and Its Applications Ben Y. Zhao, CS294-7 Spring 1999.
CS 157B: Database Management Systems II February 11 Class Meeting Department of Computer Science San Jose State University Spring 2013 Instructor: Ron.
User Profiling using Semantic Web Group members: Ashwin Somaiah Asha Stephen Charlie Sudharshan Reddy.
Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.
© 2006 Altova GmbH. All Rights Reserved. Altova ® Product Line Overview.
Issues in Ontology-based Information integration By Zhan Cui, Dean Jones and Paul O’Brien.
Web Technologies for Bioinformatics Ken Baclawski.
7. Data Import Export Lingma Acheson Department of Computer and Information Science IUPUI CSCI N207 Data Analysis Using Spreadsheets 1.
Managing Semi-Structured Data. Is the web a database?
From XML to DAML – giving meaning to the World Wide Web Katia Sycara The Robotics Institute
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
 XML derives its strength from a variety of supporting technologies.  Structure and data types: When using XML to exchange data among clients, partners,
Semantic Interoperability in GIS N. L. Sarda Suman Somavarapu.
1 Model Driven Health Tools Design and Implementation of CDA Templates Dave Carlson Contractor to CHIO
Of 24 lecture 11: ontology – mediation, merging & aligning.
Semantic Web. P2 Introduction Information management facilities not keeping pace with the capacity of our information storage. –Information Overload –haphazardly.
Setting the stage: linked data concepts Moving-Away-From-MARC-a-thon.
SEMANTIC WEB Presented by- Farhana Yasmin – MD.Raihanul Islam – Nohore Jannat –
The Semantic Web By: Maulik Parikh.
Eugenia Fernandez IUPUI
The Re3gistry software and the INSPIRE Registry
UMBC AN HONORS UNIVERSITY IN MARYLAND
Experience with XML – based production of publications Case of « Statistical yearbook 2005 and 2006  » Guy Zacharias Centralisation et Diffusion STATEC.
CSE591: Data Mining by H. Liu
Presentation transcript:

Ontoprise: B 3 - Semantic B2B Broker whitepaper review Bernhard Schueler CSCI 8350, Spring 2002,UGA

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 2 Overview Aim of OntopriseAim of Ontoprise Problem: interoperabilityProblem: interoperability Previous approachesPrevious approaches Using ontologiesUsing ontologies Using RDFUsing RDF RemarksRemarks

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 3 Aim of Ontoprise The aim of Ontoprise is to provide ontology-based B2B- applications. Those applications should make the semantics of business information machine-processable.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 4 Example: Product Catalogues The seller’s product catalogue is transformed into an electronic data format. Programmers write transformation programs to generate different formats and views required by buyers. This process requires human resources and time.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 5 Example computer dealer Seller and buyer have catalogues, which are structured differently. Seller’s catalogue: a printer has an attribute type with values laser, ink or matrix. Buyer’s catalogue: there is a subclass laser printer.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 6 Problem: Mapping How can the data formats automatically be mapped between the catalogues? Mapping is necessary to create and update the buyer’s catalogue. It is expensive to program those mappings. Solution: automate the creation of mappings, which can automate creation and update of the catalogue.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 7 Previous approaches - EDIFACT EDIFACT provides a standardized electronic format to exchange data between sellers and buyers, allows the specification of standards for application areas. The standards cover the semantics of different application areas.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 8 Previous approaches – XML XML-specifications provide a semi-structured description of products, orders, …. DTDs or XML-schema specifications define the structure of the data.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 9 Advantages of XML over EDIFACT Readable for non-experts, Integrated with other document/data exchange standards, DTDs, XML-schema enable generation of tools like form editors, Designed for the web.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 10 XML Description, Example: a_5634 printer laser a_5634 laserprinter

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 11 Deficiencies of XML – 1 Implicit agreement on meaning of tags is necessary. Validation of XML using DTDs is only syntactic. The labeled tree structure is checked. There can’t be semantic constraints, e.g. The price of a mouse may only be 1/100 of the price of a computer system. There is no inheritance.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 12 Deficiencies of XML – 2 Transformations: They are purely syntactical, using XSLT and DTDs. Therefore they would have to bee hand-coded. Queries: XQL and XML-QL allow to query the document structure. Give me all printers for which cartridges are available that last for more than 5000 pages. Can be done. But it’s very cumbersome and overloaded with syntactic aspects.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 13 Ontologies Ontologies define a domain and provide a shared vocabulary. “leight-weight” ontologies model concepts with properties and relationships, which are embedded in an is-a-hierarchy. They are comparable to database schemata. “heavy-weight ontologies also contain rules and constraints.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 14 Ontologies in B 3 Ontology OntoLift DTD XML documents DTD XML documents OntoMap DTD DTD Maker DTD Custom

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 15 Ontologies in B 3 - with RDF Ontology RDF documents OntoMap RDF documents

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 16 The B 3 B2B Broker – Basic tools OntoEdit, OntoFact, generates forms for attributes and relations of instances (of concepts of an ontology), OntoAnnotate, allows the user to add meta information to HTML, Word, PDF.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 17 The B 3 B2B Broker – Advanced tools OntoLift, provides means to identify concepts and relationships from an XML-DTD or XML-schema, DTDMaker, OntoMap, semi-automated creation of mapping rules, OntoCompile, creates a set of XSLT transformations.

Bernhard Schueler - Ontoprise: B 3 CSCI 8350, Spring 2002,UGA 18 Remarks By the time the paper was published not all of the tools had been implemented. By now, data would rather be stored using RDF than pure XML. A means to create forms, views and web content form RDF might be more interesting.