Determining Fitness-For-Use of Ontologies through Change Management, Versioning and Publication Best Practices Patrick West 1 Stephan.

Slides:



Advertisements
Similar presentations
Towards a Common Provenance Model for Research Publications Linyun Fu Xiaogang Ma Patrick West Stace Beaulieu.
Advertisements

Complexity must become Linear or Decrease Smart data infrastructure: The sixth generation of mediation for data science Peter Fox 1
DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science Communities Han Wang 1 ( ), Yu Chen 1 Patrick West.
Presenting Provenance Based on User Roles Experiences with a Solar Physics Data Ingest System Patrick West, James Michaelis, Peter Fox, Stephan Zednik,
A Semantic Sommelier as an Ontology-powered Mobile Social Application and a Pedagogical Tool Deborah L. McGuinness and Evan W. Patton.
Semantic Representation of Temporal Metadata in a Virtual Observatory Han Wang 1 Eric Rozell 1
Semantic Representation of Temporal Metadata in a Virtual Observatory Han Wang 1 Eric Rozell 1
Experiences Developing a User- centric Presentation of A Domain- enhanced Provenance Data Model Cynthia Chang 1, Stephan Zednik 1, Chris Lynnes 2, Peter.
Applying Semantics in Dataset Summarization for Solar Data Ingest Pipelines James Michaelis ( ), Deborah L. McGuinness
Citation and Recognition of contributions using Semantic Provenance Knowledge Captured in the OPeNDAP Software Framework Patrick West 1
Semantic Similarity Computation and Concept Mapping in Earth and Environmental Science Jin Guang Zheng Xiaogang Ma Stephan.
ToolMatch: Discovering What Tools can be used to Access, Manipulate, Transform, and Visualize Data Patrick West 1 Nancy Hoebelheinrich.
Key integrating concepts Groups Formal Community Groups Ad-hoc special purpose/ interest groups Fine-grained access control and membership Linked All content.
Linking Disparate Datasets of the Earth Sciences with the SemantEco Annotator Session: Managing Ecological Data for Effective Use and Reuse Patrice Seyed.
Provenance-Aware Faceted Search Deborah L. McGuinness 1,2 Peter Fox 1 Cynthia Chang 1 Li Ding 1.
Configurable User Interface Framework for Cross-Disciplinary and Citizen Science Presented by: Peter Fox Authors: Eric Rozell, Han Wang, Patrick West,
Publishing and Visualizing Large-Scale Semantically-enabled Earth Science Resources on the Web Benno Lee 1 Sumit Purohit 2
Provenance Capture in Data Access And Data Manipulation Software Patrick West 1 Peter Fox
References: [1] [2] [3] Acknowledgments:
Catalog/ ID Selected Logical Constraints (disjointness, inverse, …) Terms/ glossary Thesauri “narrower term” relation Formal is-a Frames (properties) Informal.
Semantic Cyberinfrastructure for Knowledge and Information Discovery (SCiKID) Proposal Principle Investigator: Eric Rozell Tetherless World Constellation.
References: [1] Branch, B.D., Fosmire, M., The role of interdisciplinary GIS and data curation librarians in enhancing authentic scientific research.
Discovering accessibility, display, and manipulation of data in a data portal Nancy Hoebelheinrich Patrick West 2
TWC Adoption of RDA DTR and PID in Deep Carbon Observatory Data Portal Stephan Zednik, Xiaogang Ma, John Erickson, Patrick West, Peter Fox, & DCO-Data.
Motivations and Challenges: Proper data management hinges on recording and maintaining “steps” applied to create data. Consumers require methods to assess.
© 2012 IBM Corporation Best Practices for Publishing RDF Vocabularies Arthur Ryman,
NEON non-specialist use case; Science data reuse in a classroom Peter Fox Brian Wee Patrick West 1
Local global disambiguation of terms and concepts The BCO-DMO metadata database uses controlled vocabularies to record many of the important pieces of.
Modeling and Representing National Climate Assessment Information using Linked Data Jin Guang Zheng 1 Curt Tilmes 2
NEON non-specialist use case; Science data reuse in a classroom Peter Fox Brian Wee Patrick West 1
DOAP – Description of a Project Ontology DOAP provides us with the ability to represent software, software projects, releases of software, licensing information,
Citation and Recognition of contributions using Semantic Provenance Knowledge Captured in the OPeNDAP Software Framework Patrick West 1
1 Semantic Provenance and Integration Peter Fox and Deborah L. McGuinness Joint work with Stephan Zednick, Patrick West, Li Ding, Cynthia Chang, … Tetherless.
Applying Provenance Extensions to OPeNDAP Framework Patrick West, James Michaelis, Tim Lebo, Deborah L. McGuinness Rensselaer Polytechnic Institute Tetherless.
Deepcarbon.net Xiaogang (Marshall) Ma, Yu Chen, Han Wang, John Erickson, Patrick West, Peter Fox Tetherless World Constellation Rensselaer Polytechnic.
TWC Adoption of RDA DTR and PID in Deep Carbon Observatory Data Portal Stephan Zednik, Xiaogang Ma, John Erickson, Patrick West, Peter Fox, & DCO-Data.
ToolMatch Discovering What Tools can be used to Access, Manipulate, Transform, and Visualize Data Products Patrick West 1 Nancy Hoebelheinrich.
Resource Discovery for Extreme Scale Collaboration Benno Lee Patrick West 1 William Smith 2
DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science Communities Han Wang 1 ( ), Yu Chen 1 Patrick West.
VIVO Conference 2013 Panel on VIVO Use-Cases for Collaborative Science: From Researcher Networks to Semantic User Interfaces for Data Patrick West – Tetherless.
References: [1] Lebo, T., Sahoo, S., McGuinness, D. L. (eds.), PROV-O: The PROV Ontology. Available via: [2]
Information Modeling and Semantic Web Application For National Climate Assessment Jin Guang Zheng 1 Curt Tilmes 2
Deepcarbon.net Xiaogang Ma, Patrick West, John Erickson, Stephan Zednik, Yu Chen, Han Wang, Hao Zhong, Peter Fox Tetherless World Constellation Rensselaer.
Semantic Similarity Computation and Concept Mapping in Earth and Environmental Science Jin Guang Zheng Xiaogang Ma Stephan.
Determining Fitness-For-Use of Ontologies through Change Management, Versioning and Publication Best Practices Patrick West 1 Stephan.
1 Class exercise II: Use Case Implementation Deborah McGuinness and Peter Fox CSCI Week 8, October 20, 2008.
 Key integrating concepts  Groups  Formal Community Groups  Ad-hoc special purpose/ interest groups  Fine-grained access control and membership 
TWC A use case-driven iterative method for building a provenance-aware GCIS ontology Xiaogang Ma a, Jin Guang Zheng a, Justin Goldstein b,c, Linyun Fu.
Supported by ESIP Semantic Web Cluster A service based on community-built semantic web applications Provide users with the means to match their datasets.
Catalog/ ID Selected Logical Constraints (disjointness, inverse, …) Terms/ glossary Thesauri “narrower term” relation Formal is-a Frames (properties) Informal.
Publishing and Visualizing Large-Scale Semantically-enabled Earth Science Resources on the Web Benno Lee 1 Sumit Purohit 2
Information Model Driven Semantic Framework Architecture and Design for Distributed Data Repositories AGU 2011, IN51D-04 December 9, 2011 Peter Fox (RPI)
Social and Personal Factors in Semantic Infusion Projects Patrick West 1 Peter Fox 1 Deborah McGuinness 1,2
TWC Adoption* of RDA DTR and PIT in the Deep Carbon Observatory Data Portal Xiaogang Ma, John Erickson, Patrick West, Stephan Zednik, Peter Fox, & the.
The Semantic eScience Framework AGU FM10 IN22A-02 Deborah McGuinness and Peter Fox (RPI) Tetherless World Constellation.
Poster: EGU Glossary: USGCRP – United States Global Change Research Program NCA – National Climate Assessment GCIS – Global Change Information.
Scaling the Wall: Experiences adapting a Semantic Web application to utilize social networks on mobile devices Evan W. Patton 1 ( ) &
Get the poster at Semantic Visualization Provenance Records:
Provenance Capture in Data Access And Data Manipulation Software
Xiaogang Ma, John Erickson, Patrick West, Stephan Zednik, Peter Fox,
Jenn Riley Metadata Librarian Digital Library Program
Deep Carbon Observatory Data Science Platform
Data types and persistent identifiers in
Modeling Data Set Versioning Operations
ToolMatch Discovering What Tools can be used to Access, Manipulate, Transform, and Visualize Data Products Patrick West1 Nancy
Adoption of RDA DTR and PIT in the Deep Carbon Observatory Data Portal
Science Data Platforms: Informatics Architectures at the Forefront.
Towards Executable Provenance Graphs for Reported Results in Research Publications Linyun Fu Xiaogang Ma Patrick West
Modeling Data Set Versioning Operations
Jenn Riley Metadata Librarian Digital Library Program
Presentation transcript:

Determining Fitness-For-Use of Ontologies through Change Management, Versioning and Publication Best Practices Patrick West 1 Stephan Zednik 1 Linyun Fu 1 Marshall Ma 1 Peter Fox 1 ( 1 Rensselaer Polytechnic Institute th St., Troy, NY, United Poster: IN41C-1708 Glossary: RPI – Rensselaer Polytechnic Institute TWC – Tetherless World Constellation at Rensselaer Polytechnic Institute Acknowledgments: Deborah L. McGuinness and Jim Hendler, authors and innovators of the Semantic Web and Ontology Development Sponsors: There is a large and growing number of domain ontologies available for researchers to leverage in their applications. When evaluating the use of an ontology it is important to not only consider whether the concepts and relationships defined in the ontology meet the requirements for purpose of use, but also how the change management, versioning and publication practices followed by the ontology publishers affect the maturity, stability, and long-term fitness-for-use of the ontology. In this presentation we share our experiences and a list of best practices we have developed when determining fitness for use of existing ontologies, and the process we follow when developing of our own ontologies and extensions to existing ontologies. Our experience covers domains such as solar terrestrial physics, geophysics and oceanography; and the use of general purpose ontologies such as those with representations of people, organizations, data catalogs, observations and measurements and provenance. We will cover how we determine ontology scope, manage ontology change, specify ontology version, and what best practices we follow for ontology publication and use. The implications of following these best practices is that the ontologies we use and develop are mature, stable, have a well-defined scope, and are published in accordance with linked data principles. Abstract Change Management Versioning Publication Why is this important? Meaning, Perspective, Understanding It is important to clearly define concepts and relationships in an ontology. When an group decides to use an ontology it is because the meanings of the concepts and relationships meet their needs. More importantly the ontology meets the end user’s understanding within their specific context. To change any one of the concepts, the meaning of the concepts or the relationships between the concepts, has the potential to alter the semantics enough so that it no longer meets the needs, perspective or understanding of the end users. For these reason it is important to manage change of ontologies responsibly with the needs of the end user in mind. Documenting changes to ontologies Ontology Change Proposal Template: Example Ontology Change Proposal: Adding new Concepts and Relationships This one seems the easiest. But, if a concept or relationship added to the ontology changes the meaning of the ontology itself then this can be a problem for users of your ontology. For example, for the PROV-O ontology you start adding concepts and relationships around trust values, but you already are using an ontology for this. Another example, the ToolMatch group adds inheritance assertions in their ontology to the DOAP ontology, but an end user doesn’t wish to use the DOAP ontology. Changing the meaning Rather than changing the meaning of a concept or relationship, a new concept or relationship should be created, especially if the current concept or relationship is in use by you or users of your ontology, software or services. Question of Deletion Should a concept or relationship between concepts ever be deleted? That’s a very good question that requires more space than available here. Let’s discuss it. From our experience deleting of a concept or relationship between concepts is not recommended Minor number increment Relationship between concepts is changed but does not impact the meaning of the concepts involved Revision number increment Minor modification to the description of a concept or relationship that does not change its meaning Typo corrections in concept or relationship names Typo corrections in description of concepts or relationships Example Ontology Ontology annotations provided Ontology name Description Publishing organization Creators Contributors Contact information Version information License Information Concept and Relationships clearly defined Name is representative of meaning Description is clear and detailed URI of the ontology should be resolvable Provide a link to the latest version Users might not be ready for your changes, so need to keep older versions of the ontology available. Content negotiation enabled for different format requests HTML TTL N3 JSON-LD RDF/XML Citation should be provided West, P., Patton, E. Tetherless World Ontology, Rensselaer Polytechnic Institute, 2015Tetherless World Ontology Version of an ontology consists of the same three components of a software version. Major, minor and revision Major number increment Class hierarchy is changed Meaning of a concept is changed Meaning of a relationship is changed New relationship between concepts that changes the meaning of the concepts involved