UML-Based Ontology Toolset Dr. Paul Kogut Lockheed Martin Management & Data Systems Valley Forge, PA.

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.

Principals, Practice & Experience JS01 June 4-6, 2001 XML + Semantics = DARPA Agent Markup Language (DAML) William Holmes, Dr. Paul Kogut Management &

AeroDAML Applying Information Extraction to Generate DAML Annotations Dr. Paul Kogut Lockheed Martin Management & Data Systems.

1 BugVISor: A DAML Debugging Tool Mitch Kokar Versatile Information Systems, Inc.

BAH DAML Tools XML To DAML Query Relevance Assessor DAML XSLT Adapter.

Semantically Grounded Briefings Bob Balzer, Neil Goldman, Marcelo Tallis Teknowledge

UML-Based Ontology Toolset Dr. Paul Kogut Lockheed Martin Management & Data Systems Valley Forge, PA.

Sequence diagram How to. Guards Sequence diagram with combined fragments and messages Sequence diagram based on figure of UML specification It.

1 Input/Output and Debugging  How to use IO Streams  How to debug programs.

The interface between engineering, technical documentation, material disposition and various specifications (ASD S2000M, ATA 2000, etc.)

MySQL Installation Guide. MySQL Downloading MySQL Installer.

April 15, 2004SPIE1 Association in Level 2 Fusion Mieczyslaw M. Kokar Christopher J. Matheus Jerzy A. Letkowski Kenneth Baclawski Paul Kogut.

1 UIM with DAML-S Service Description Team Members: Jean-Yves Ouellet Kevin Lam Yun Xu.

1 UML Models for DAML Ontologies OMG Agent SIG 12/11/00 Dr. Paul Kogut and Bill Holmes Lockheed Martin Management & Data Systems Lewis Hart - GRC International.

Copyright © 2008 Pearson Prentice Hall. All rights reserved Copyright © 2008 Prentice-Hall. All rights reserved. Committed to Shaping the Next.

© Copyright 2008 STI INNSBRUCK The Google Knowledge Graph Ioan Toma.

1 Ontology Based Extraction of RDF Data from the World Wide Web Tim Chartrand A Thesis Proposal Research Supported By NSF.

Human Language Technologies. Issue Corporate data stores contain mostly natural language materials. Knowledge Management systems utilize rich semantic.

DARPA Agent Markup Language Ashish Jain University of Colorado at Boulder.

Dr. Paul Kogut and William Holmes - Lockheed Martin M&DS AeroDAML: Applying Information Extraction to Generate DAML Annotations from Web Pages Dr. Paul.

Lecture Fourteen Methodology - Conceptual Database Design

1 Ontology Based Extraction of RDF Data from the World Wide Web Tim Chartrand Masters Thesis Research Supported By NSF.

Agenda 22 7.SharePoint Changes 8.Items & Lists 9.Files & Libraries 10.SharePoint & Office 11.Help 12.Wrap Up.

Access 2007 ® Use Databases How can Microsoft Access 2007 help you manage a database?

1 Consistency Checking of Semantic Web Ontologies Kenneth Baclawski, Northeastern U. & VIS Mieczyslaw M. Kokar, Northeastern U. & VIS Richard Waldinger,

The 12 screens to follow contain a number of Tool descriptions, some instructions on their use, and in some cases a Task or two. If you dedicate one hour.

Result presentation. Search Interface Input and output functionality – helping the user to formulate complex queries – presenting the results in an intelligent.

Enriching the Ontology for Biomedical Investigations (OBI) to Improve Its Suitability for Web Service Annotations Chaitanya Guttula, Alok Dhamanaskar,

Systems Analysis And Design © Systems Analysis And Design © V. Rajaraman MODULE 14 CASE TOOLS Learning Units 14.1 CASE tools and their importance 14.2.

Creating Data Marts from COBOL Files (ISAM to RDBMS)

Yahoo! User Interface (YUI) Library Natly Mekdara.

Maintaining Information Systems Modern Systems Analysis and Design.

The Internet and the World Wide Web. The Internet A Network is a collection of computers and devices that are connected together. The Internet is a worldwide.

Dreamweaver – Dreamweaver Extras Web Design Section 8-4 Part or all of this lesson was adapted from the University of Washington’s “Web Design & Development.

Parser-Driven Games Tool programming © Allan C. Milne Abertay University v

Requirements Information and data which need to be displayed or accessible to the user Sitemapping (Site Map) Flow Chart models of site structure displaying.

Internet and Distributed Representation of Agent Based Model by- Manish Sharma.

June 12, 2003AQUAINT 18 Month Meeting San Diego CA Natural Language Querying of the Semantic Web SRI International Information Science Institute.

Extended Static Checking for Java  ESC/Java finds common errors in Java programs: null dereferences, array index bounds errors, type cast errors, race.

Semantic Technologies & GATE NSWI Jan Dědek.

Conceptual Modelling – Behaviour

Programming with Visual Studio 2005.NET A short review of the process.

Roles 1. Your Role: End User End Users use Inside NCDOT and Connect NCDOT for basic browsing and reading Typical tasks can include: Open or download files.

CASE Tools Union Palenshus. In the early days… ► Software engineering tools consisted solely of translators, compilers, assemblers, linkers, loaders,

Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.

© Copyright 2013 STI INNSBRUCK “How to put an annotation in HTML?” Ioannis Stavrakantonakis.

ICCS 2008, CracowJune 23-25, Towards Large Scale Semantic Annotation Built on MapReduce Architecture Michal Laclavík, Martin Šeleng, Ladislav Hluchý.

Green Peas Solutions Search Engines Optimisation.

CREAM: Semantic annotation system May 24, 2013 Hee-gook Jun.

Shridhar Bhalerao CMSC 601 Finding Implicit Relations in the Semantic Web.

Conceptual Databases Design Step 1 © Pearson Education Limited 1995, 2005.

Knowledge Representation. Keywordsquick way for agents to locate potentially useful information Thesaurimore structured approach than keywords, arranging.

Using Symbolic PathFinder at NASA Corina Pãsãreanu Carnegie Mellon/NASA Ames.

Lean Manufacturing Screening Assessment Tool Ashok Kumar Sandys Thomas.

Software Development Introduction

Semantic Web COMS 6135 Class Presentation Jian Pan Department of Computer Science Columbia University Web Enhanced Information Management.

A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.

Homework Helper Natalie, Jessica, Matt, and Holly.

Describing and Annotating Experimental Data: Hands On.

©2003 Paula Matuszek CSC 9010: AeroText, Ontologies, AeroDAML Dr. Paula Matuszek (610)

Soundscapes James Martin. Overview Review System TestingPrototype Q & A.

Transportation Agenda 19. Transportation Your Role: Designer Designers organize SharePoint content and determine how to display that content Typical tasks.

Potential NEALP candidates Where is the data input site?

Chapter 1 Getting Started with ASP.NET Objectives Why ASP? To get familiar with our IDE (Integrated Development Environment ), Visual Studio. Understand.

Testing Tools & Standards

Online Communication and Marketing (Day 2, )

Structured Data Markup Helper

Website production.

PPT4: Requirement analysis

Presentation transcript:

UML-Based Ontology Toolset Dr. Paul Kogut Lockheed Martin Management & Data Systems Valley Forge, PA

Page 2 l Input: URI for HTML webpage l Processing: extract common entities and relationships and link them to appropriate DAML classes and properties u Bill Gates->genericOntology:person l Output: DAML annotation file l Wow factor: accelerate the proliferation of DAML annotated websites by helping the typical website developer who does not care about what an ontology is l Candidate improvements: u Allow the user to select other ontologies besides the default generic ontology è OpenCyc, CIA Factbook, IEEE Standard Upper Ontology u Allow the user to annotate an entire website (not just a single page) AeroDAML

Page 3 DAML VisuaLinks l Input: URI for DAML annotated website l Processing: advanced graphical tools from Visual Analytics display property links u persons to organizations... l Output: visualization of DAML annotations l Wow factors: u help analyst mine information from DAML websites u help website developers check for DAML annotation errors l Candidate improvements: u enhance the prototype u integrate with AeroDAML

Page 4 ConsVISor l Input: URI for DAML ontology or annotation l Processing: Prolog-based tool that checks ontologies against the DAML+OIL axiomatic semantic specification l Output: list of error and warning messages l Wow factors: u help ontology engineers check ontologies u help website developers check DAML annotations l Candidate improvements: u integrate with Specware and SNARK theorem prover u add BugVISor