Emerging Semantic Web Commercialization Opportunities Ken Baclawski Northeastern University.

Slides:



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

1 Open Ontology Repository Planning Meeting for Ontology repositories: approaches, technologies, collaboration Ken Baclawski June 15, 2009.
1 Probability and the Web Ken Baclawski Northeastern University VIStology, Inc.
1 Ontolog OOR Use Case Review Todd Schneider 1 April 2010 (v 1.2)
1 Ontolog Open Ontology Repository Review 19 February 2009.
August 6, 2009 Joint Ontolog-OOR Panel 1 Ontology Repository Research Issues Joint Ontolog-OOR Panel Discussion Ken Baclawski August 6, 2009.
19 June 2008GBC/ACM Monthly Meeting 1 The Semantic Web: Its not just for searching anymore! Ken Baclawski Northeastern University Vistology.
2 Introduction A central issue in supporting interoperability is achieving type compatibility. Type compatibility allows (a) entities developed by various.
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences Paul Smart, Ali.
The 20th International Conference on Software Engineering and Knowledge Engineering (SEKE2008) Department of Electrical and Computer Engineering
Interoperability of Distributed Component Systems Bryan Bentz, Jason Hayden, Upsorn Praphamontripong, Paul Vandal.
Who am I Gianluca Correndo PhD student (end of PhD) Work in the group of medical informatics (Paolo Terenziani) PhD thesis on contextualization techniques.
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.
PR-OWL: A Framework for Probabilistic Ontologies by Paulo C. G. COSTA, Kathryn B. LASKEY George Mason University presented by Thomas Packer 1PR-OWL.
Copyright 2002 Prentice-Hall, Inc. Chapter 4 Automated Tools for Systems Development 4.1 Modern Systems Analysis and Design Third Edition.
Semantic Web and Web Mining: Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006.
Copyright 2002 Prentice-Hall, Inc. Chapter 4 Automated Tools for Systems Development 4.1 Modern Systems Analysis and Design Third Edition Jeffrey A. Hoffer.
COMP 6703 eScience Project Semantic Web for Museums Student : Lei Junran Client/Technical Supervisor : Tom Worthington Academic Supervisor : Peter Strazdins.
Architectural Design Establishing the overall structure of a software system Objectives To introduce architectural design and to discuss its importance.
Software engineering on semantic web and cloud computing platform Xiaolong Cui Computer Science.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
LÊ QU Ố C HUY ID: QLU OUTLINE  What is data mining ?  Major issues in data mining 2.
Building Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Semantic web technologies for secure interoperability and.
The Bayesian Web Adding Reasoning with Uncertainty to the Semantic Web
CONTI’2008, 5-6 June 2008, TIMISOARA 1 Towards a digital content management system Gheorghe Sebestyen-Pal, Tünde Bálint, Bogdan Moscaliuc, Agnes Sebestyen-Pal.
Emerging Semantic Web Applications for the Life Sciences Ken Baclawski Northeastern University.
Semantic Web. Course Content
Ontology Development Kenneth Baclawski Northeastern University Harvard Medical School.
1 Introduction to the Semantic Web for Bioinfomatics Ken Baclawski Northeastern University.
Knowledge representation
The Semantic Web Service Shuying Wang Outline Semantic Web vision Core technologies XML, RDF, Ontology, Agent… Web services DAML-S.
University of Dublin Trinity College Localisation and Personalisation: Dynamic Retrieval & Adaptation of Multi-lingual Multimedia Content Prof Vincent.
Toolkit for Planning an EHR-based Surveillance Program | HL7 Clinical Document Architecture An Introduction.
Ontology Summit2007 Survey Response Analysis -- Issues Ken Baclawski Northeastern University.
Interfacing Registry Systems December 2000.
Urban Growth Modeling Approaches Discussion 1. Overview Planning Theory Meets Modeling Planning Theory Meets Modeling UrbanSim as an example of complex.
The Agricultural Ontology Service (AOS) A Tool for Facilitating Access to Knowledge AGRIS/CARIS and Documentation Group Library and Documentation Systems.
EU Project proposal. Andrei S. Lopatenko 1 EU Project Proposal CERIF-SW Andrei S. Lopatenko Vienna University of Technology
Ontology Summit 2015 Track C Report-back Summit Synthesis Session 1, 19 Feb 2015.
Metadata. Generally speaking, metadata are data and information that describe and model data and information For example, a database schema is the metadata.
Schema Interoperability Liam Magee Global Cities Institute RMIT University Melbourne, Australia.
SOFTWARE DESIGN AND ARCHITECTURE LECTURE 05. Review Software design methods Design Paradigms Typical Design Trade-offs.
1 Open Ontology Repository: Architecture and Interfaces Ken Baclawski Northeastern University 1.
Knowledge Representation of Statistic Domain For CBR Application Supervisor : Dr. Aslina Saad Dr. Mashitoh Hashim PM Dr. Nor Hasbiah Ubaidullah.
©Ferenc Vajda 1 Semantic Grid Ferenc Vajda Computer and Automation Research Institute Hungarian Academy of Sciences.
W HAT IS I NTEROPERABILITY ? ( AND HOW DO WE MEASURE IT ?) INSPIRE Conference 2011 Edinburgh, UK.
Using Several Ontologies for Describing Audio-Visual Documents: A Case Study in the Medical Domain Sunday 29 th of May, 2005 Antoine Isaac 1 & Raphaël.
Andreas Abecker Knowledge Management Research Group From Hypermedia Information Retrieval to Knowledge Management in Enterprises Andreas Abecker, Michael.
10/24/09CK The Open Ontology Repository Initiative: Requirements and Research Challenges Ken Baclawski Todd Schneider.
It’s all semantics! The premises and promises of the semantic web. Tony Ross Centre for Digital Library Research, University of Strathclyde
Ontology-Based Computing Kenneth Baclawski Northeastern University and Jarg.
SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.
© Geodise Project, University of Southampton, Knowledge Management in Geodise Geodise Knowledge Management Team Barry Tao, Colin Puleston, Liming.
The future of the Web: Semantic Web 9/30/2004 Xiangming Mu.
OWL Representing Information Using the Web Ontology Language.
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.
16/11/ Semantic Web Services Language Requirements Presenter: Emilia Cimpian
NeuroLOG ANR-06-TLOG-024 Software technologies for integration of process and data in medical imaging A transitional.
1 Class exercise II: Use Case Implementation Deborah McGuinness and Peter Fox CSCI Week 8, October 20, 2008.
Information Architecture The Open Group UDEF Project
1 Open Ontology Repository initiative - Planning Meeting - Thu Co-conveners: PeterYim, LeoObrst & MikeDean ref.:
Providing web services to mobile users: The architecture design of an m-service portal Minder Chen - Dongsong Zhang - Lina Zhou Presented by: Juan M. Cubillos.
The Semantic Web. What is the Semantic Web? The Semantic Web is an extension of the current Web in which information is given well-defined meaning, enabling.
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
Versatile Information Systems, Inc International Semantic Web Conference An Application of Semantic Web Technologies to Situation.
The Semantic Web: It’s not just for searching anymore! Bhaskar V Lecturer/CSE KLN College of Engineering Information Retrieval Semantic Web isa.
Semantic Web. P2 Introduction Information management facilities not keeping pace with the capacity of our information storage. –Information Overload –haphazardly.
Informatics for Scientific Data Bio-informatics and Medical Informatics Week 9 Lecture notes INF 380E: Perspectives on Information.
OWL (Ontology Web Language and Applications) Maw-Sheng Horng Department of Mathematics and Information Education National Taipei University of Education.
Knowledge Management ICT Health
Presentation transcript:

Emerging Semantic Web Commercialization Opportunities Ken Baclawski Northeastern University

The Semantic Web: Its not just for searching anymore! The web is a versatile infrastructure for basic data availability. The main emphasis was on human-mediated interactions via web browsers but new uses are rapidly increasing. These new uses can benefit from the ontology based techniques and tools of the Semantic Web.

Identifying an opportunity Domain knowledge – Technical background – Community organization Identify urgent needs Understand the trends – Short-term evolution – Possible paradigm shifts Recognize an opportunity

Outline Interoperability and integration of legacy systems Web services and composite applications Records management Uncertain, incomplete and conflicting information Decision and policy making Collaboration tools Recent developments

Interoperability of legacy systems Legacy systems and databases are characterized by: – A large variety of formats – High degree of complexity – Many technologies of various ages Need to interoperate and integrate Trend is toward encoding more semantics in the data representation itself Opportunity to develop products and services for interoperability and integration.

Web services and composite applications The web is being used not only for retrieval of data but also for using tools and services. The need is to find the required services, and to get them to communicate with each other. The trend is to use semantic annotation to describe/advertise services, to express requests, and to represent the responses, but very unevenly. The opportunity is to built agile workflow management tools that can deal with the differing levels of semantic annotation.

Simple Semantic Web Architecture and Protocol (SSWAP) SSWAP is a protocol for semantic web services. See Unlike other protocols, SSWAP uses a single format and protocol for description, registration, discovery and invocation. SSWAP was developed using OWL as its basis, and OWL inference is fundamental to its operation.

Records management Solving the electronic health record problem will add little to the existing paper-based records if the systems are not interoperable. Simply automating paper-based processes has relatively little impact on productivity. Gains in efficiency and improved patient care require a change in the overall process of medical care delivery.

Records Opportunity Develop event ontologies that: – Support interoperability – Are independent of workflows and processes – Are compatible with existing processes Develop products that: – Assist organizations to evolve toward electronic data management – Serve the interests of many stakeholders

Reasoning with uncertainty The Semantic Web is an extension of the current web in which information is given well defined meaning… (Berners-Lee, Hendler & Lassila) The Semantic Web is based on formal logic for which one can only assert facts that are unambiguously certain. Unfortunately, there are many sources of uncertainty, such as measurements, unmodeled variables, and subjectivity.

The Bayesian Web The challenge is to develop a full-featured stochastic reasoning infrastructure, comparable to the logical reasoning infrastructure of the Semantic Web. The Bayesian Web is a proposal to add reasoning about uncertainty to the Semantic Web.

Bayesian Web facilities Common interchange format Ability to refer to common variables Context specification Authentication and trust Open hierarchy of probability distribution types Component based construction of BNs BN inference engines Meta-analysis services

Decision Analysis Important part of policy and development processes. Formal annotation of decisions and their analyses can have many benefits. – Integration with the process – Recognition of need to reconsider when circumstances evolve – Decisions can be delayed – Decisions can be reused for other situations An annotated decision is called a rationale

Rationale Ontology Rationale Artifact Choice Decision Analysis Informal Discussion Influence Diagram Decision Tree Decision Table analysis issue Evidence evidence* criterion* decision alternative* isa

Policy Decision Example Investment Level in Brain Health Intervention Techniques Ageism Fertility Rate Age of Population Ethical Concerns Standard of Living Brain Health Level Brain Health Policy Rationale criterion alternative analysis Census data evidence Brain Health Issue issue affects

Collaboration tools People need to collaborate to solve problems. The need is to support rapid team formation and problem solving even when the people are geographically dispersed. The trend is to use wikis and blogs rather than face-to-face meetings. The opportunity is to develop tools that facilitate collaboration over the web without losing the advantages of face-to-face meetings that make them desirable.

Wikis Wikis are a popular tool for collaboration. They have been used for rapid team formation and collaboration. They have a number of disadvantages: – Mix of natural language and untyped links. – Focus is on simplicity and presentation, not structure and semantics.

Semantic Wikis A wiki with an underlying knowledge model (ontology) is a semantic wiki. Data in the wiki is annotated with meta-data in RDF or OWL. Links are typed and annotated, also in RDF or OWL. Machines can infer new facts from the explicitly asserted facts. Search and retrieval are facilitated by the semantics. Interoperability is greatly improved.

Recent Developments RDF storage provided by database vendors – Oracle has both a product and an active Database Semantic Technologies Group – Many RDF stores are layered on a general purpose RDBMS: Jena, Sesame, RDQL, … Non-relational RDF storage products – Siderean, Tucana, OWLIM, Allegro Graph, …

Open Ontology Repository (OOR) Recent initiative of the Ontolog Forum The purpose of the initiative is to promote the global use and sharing of ontologies by: – 1. establishing a hosted registry-repository; – 2. enabling and facilitating open, federated, collaborative ontology repositories; – 3. establishing best practices for expressing interoperable ontology and taxonomy work in registry-repositories.