Languages & Inference Appropriate layering Do we need a logic? Do we need Description Logic? Legacy data; database storage vs inference Tolerant/anytime.

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.
Intelligent Technologies Module: Ontologies and their use in Information Systems Revision lecture Alex Poulovassilis November/December 2009.
1 ICS-FORTH & Univ. of Crete SeLene November 15, 2002 A View Definition Language for the Semantic Web Maganaraki Aimilia.
Semantic Web Thanks to folks at LAIT lab Sources include :
GridVine: Building Internet-Scale Semantic Overlay Networks By Lan Tian.
Columbia University Department of Computer Science COMS – E6125 Web-enHanced Information Management Presentation A Study to the Semantic Web and Semantic.
So What Does it All Mean? Geospatial Semantics and Ontologies Dr Kristin Stock.
Of 27 lecture 7: owl - introduction. of 27 ece 627, winter ‘132 OWL a glimpse OWL – Web Ontology Language describes classes, properties and relations.
Building and Analyzing Social Networks Web Data and Semantics in Social Network Applications Dr. Bhavani Thuraisingham February 15, 2013.
An Extensible System for Merging Two Models Rachel Pottinger University of Washington Supervisors: Phil Bernstein and Alon Halevy.
Ontologies and the Semantic Web by Ian Horrocks presented by Thomas Packer 1.
Dynamic Ontologies on the Web Jeff Heflin, James Hendler.
DARPA Agent Markup Language Ashish Jain University of Colorado at Boulder.
Tools for Developing and Using DAML-Based Ontologies and Documents Richard Fikes Deborah McGuinness Sheila McIlraith Jessica Jenkins Son Cao Tran Gleb.
Semantic Web Presented by: Edward Cheng Wayne Choi Tony Deng Peter Kuc-Pittet Anita Yong.
From SHIQ and RDF to OWL: The Making of a Web Ontology Language
Module 2b: Modeling Information Objects and Relationships IMT530: Organization of Information Resources Winter, 2007 Michael Crandall.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
MDC Open Information Model West Virginia University CS486 Presentation Feb 18, 2000 Lijian Liu (OIM:
Amarnath Gupta Univ. of California San Diego. An Abstract Question There is no concrete answer …but …
Knowledge Representation Ontology are best delivered in some computable representation Variety of choices with different: –Expressiveness The range of.
ON THE ROAD TO BUSINESS APPLICATIONS OF SEMANTIC WEB TECHNOLOGY Sematic Web in Business - How to Proceed IASW Kari Oinonen Kiertotie 14.
Ontology Development Kenneth Baclawski Northeastern University Harvard Medical School.
 Copyright 2005 Digital Enterprise Research Institute. All rights reserved. Towards Translating between XML and WSML based on mappings between.
Knowledge representation
The Semantic Web Service Shuying Wang Outline Semantic Web vision Core technologies XML, RDF, Ontology, Agent… Web services DAML-S.
The MMI Tools Carlos Rueda Monterey Bay Aquarium Research Institute OOS Semantic Interoperability Workshop Marine Metadata Interoperability Project Boulder,
RDF and OWL Developing Semantic Web Services by H. Peter Alesso and Craig F. Smith CMPT 455/826 - Week 6, Day Sept-Dec 2009 – w6d21.
SQL Databases are a Moving Target Juan F. Sequeda – Syed Hamid Tirmizi –
Ontology Summit2007 Survey Response Analysis -- Issues Ken Baclawski Northeastern University.
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
Schema Interoperability Liam Magee Global Cities Institute RMIT University Melbourne, Australia.
An Ontological Framework for Web Service Processes By Claus Pahl and Ronan Barrett.
Advanced topics in software engineering (Semantic web)
Dr. Bhavani Thuraisingham August 2006 Building Trustworthy Semantic Webs Unit #1: Introduction to The Semantic Web.
©Ferenc Vajda 1 Semantic Grid Ferenc Vajda Computer and Automation Research Institute Hungarian Academy of Sciences.
Object Oriented Multi-Database Systems An Overview of Chapters 4 and 5.
10/24/09CK The Open Ontology Repository Initiative: Requirements and Research Challenges Ken Baclawski Todd Schneider.
RELATORS, ROLES AND DATA… … similarities and differences.
Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.
Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #4 Vision for Semantic Web.
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.
Strategies for subject navigation of linked Web sites using RDF topic maps Carol Jean Godby Devon Smith OCLC Online Computer Library Center Knowledge Technologies.
Issues in Ontology-based Information integration By Zhan Cui, Dean Jones and Paul O’Brien.
1 Open Ontology Repository initiative - Planning Meeting - Thu Co-conveners: PeterYim, LeoObrst & MikeDean ref.:
UNEP Terminology Workshop - Geneva, April 15, Environmental Terminology & Thesaurus Workshop UN Environment Programme Regional Office of Europe.
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
© The ATHENA Consortium. Susan Thomas SAP AG, Research Department How do you do semantics? Semantic Web Drawings by Sebastian Cremers Unit 3:
06 Dec Rev. 14 Dec CmpE 583 Fall 2008 OWL Language 1 OWL Language off Lacy Ch. 10 Atilla Elçi.
© University of Manchester Creative Commons Attribution-NonCommercial 3.0 unported 3.0 license Quality Assurance, Ontology Engineering, and Semantic Interoperability.
Representing and Reasoning with Heterogeneous, Modular and Distributed ontologies UniTN/IRST contribution to KnowledgeWeb.WP 2.1.
Metadata Issues in Long-term Management of Data and Metadata
The Semantic Web By: Maulik Parikh.
Contrasting typical SW and DB approaches to semantic integration
Service-Oriented Computing: Semantics, Processes, Agents
The Object-Oriented Database System Manifesto
Knowledge Management Systems
Lecture #11: Ontology Engineering Dr. Bhavani Thuraisingham
knowledge organization for a food secure world
OWL Language off Textbook Ch. 10
Semantic Web - Ontologies
Service-Oriented Computing: Semantics, Processes, Agents
Analyzing and Securing Social Networks
Ontology.
Piotr Kaminski University of Victoria September 24th, 2002
Metadata Framework as the basis for Metadata-driven Architecture
Service-Oriented Computing: Semantics, Processes, Agents
Query Optimization.
ONTOMERGE Ontology translations by merging ontologies Paper: Ontology Translation on the Semantic Web by Dejing Dou, Drew McDermott and Peishen Qi 2003.
Presentation transcript:

Languages & Inference Appropriate layering Do we need a logic? Do we need Description Logic? Legacy data; database storage vs inference Tolerant/anytime inference Which reasoning services to support Support for modelling styles Strategy Education & outreach XML vs. RDF (role of XML Schema) Consensus building Ontologies vs. web-services Industry involvement/adoption Usability (end-users & developers) Identify low hanging fruit killer applications Transition/bootstrap strategies Maintaining common vocabs Tool building Identify urgent needs Identify low hanging fruit Identify usage scenarios Infrastructure development

Interoperability (= main goal of Semantic Web) –Why semantics? (interoperability the next level up from TCP/IP, HTML, XML, …?) –Defined w.r.t. set of operations, w.r.t. identity –common standards or translations and mappings Multiplicity of languages, –too high step-in cost –layering of languages (*, +), –opportunities for merging? (workshop series) (e.g. XML Schema, RDF Schema, Topic Maps) (ditto for query langs, tranformation langs, path models). Reconciling modelling styles/paradigms –Axioms-style/frame-style(*, +) / constraint-style / rule-style Formal differences and community aspects –Combining Knowledge Repr approach and Database approach Different reasoning services –Querying, consistency(*), inheritance(*), matching, similarity/difference, classification/type-inference, object-identify, cycle-detection(*), anomaly-detection(*) Tolerant inferences, levels of tolerance (some *s) –pragmatic levels –Complexity levels –Anytime, gradual, resource bounded, continous, streaming Notion of identity –Globally unique names, –Semantics of URI identity –Scoping, modularity, namespaces –Use-mention distinction –Rigid designators/temporal identity vision Easy picks(*) + longer term (+ = workshop + followup) urgent

Funding models Needs intercontinental funding Needs funding for production of –reports, –Teaching/PR/evangelism/proselytising –… Project-oriented funding does not suffice Slogans/mantras for the Semantic Web Low entry barrier Construction by example (copy/paste/edit) Incremental formalisation

Relevant communities AI/KR/KE DB Computational Logic