semadr drift a prot t g plugin for measuring semanti tic
play

SemaDr Drift: A Prot tg Plugin for Measuring Semanti tic Dr - PowerPoint PPT Presentation

GRANT AGREEMENT: 601138 | SCHEME FP7 ICT 2011.4.3 Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics [Digital Preservation] SemaDr Drift: A Prot tg Plugin for Measuring


  1. GRANT AGREEMENT: 601138 | SCHEME FP7 ICT 2011.4.3 Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics [Digital Preservation] SemaDr Drift: A Proté tégé Plugin for Measuring Semanti tic Dr Drift t in Onto tologies T. G. Stavropoulos*, S. Andreadis, E. Kontopoulos, M. Riga, P. Mitzias, I. Kompatsiaris “This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no601138”.

  2. } Backg Backgrou round ◦ Semantic Web (also known as Web 3.0) ◦ Knowledge representation via ontologies ◦ Semantic change can have drastic consequences } Pr Problem lem ◦ To detect & measure semantic change in ontologies across time and versions ◦ Lack of practical methods & tools directly applicable to Semantic Web } Aim Aim ◦ To develop a framework for measuring semantic drift in ontologies across multiple versions

  3. } Monitors & measures changes in th the meaning of concepts along with their potential replacem replacemen ent by other meanings over time } Dr Drasti tic consequences on the use of knowledge representation models in applications } Relates to various lines of research ◦ Ontology change, evolution, management & versioning … } Diverse terminology ◦ Semantic drift/shift/decay, concept drift/shift …

  4. } Concept t drift: Change in concept’s meaning over time ◦ Possibly also over location, culture, etc. } Notions & metrics for concept drift in data mining transferred to semantic change/drift * } Aspects ◦ Label, Intension, Extension } Correspondence of a concept across versions ◦ Known (Identity-based approach) ◦ Unknown (Morphing-based approach) * ¡Wang, ¡S., ¡Schlobach, ¡S., ¡& ¡Klein, ¡M. ¡(2011). ¡ Concept ¡dri- ¡and ¡how ¡to ¡iden1fy ¡it . ¡Web ¡Seman9cs: ¡Science, ¡Services ¡ and ¡Agents ¡on ¡the ¡WWW, ¡9(3), ¡247–265. ¡

  5. } Label Label ◦ Description, name or title ◦ rdfs:label ¡ ◦ Drift: String similarity (Monge-Elkan) } Inte tension ◦ Characteristics ◦ Set of OWL datatype or object property triples ◦ Drift: Jaccard similarity } Ex Exte tension ◦ Things a concept extends to ◦ Set of instances ◦ Drift: Jaccard similarity } Wh Whole ole

  6. } Java, OWL-API, Simmetrics } http://mklab.iti.gr/results/tools -> SemaDrift ◦ Apache V2 License } Load an array of ontologies (URL/files) i.e. its multiple versions } Get drift metrics: ◦ Average concept stability for each metric (all ontologies) ◦ Concept-per-concept stability (a pair of ontologies) ◦ Morphing chains, ranking (all ontologies) } Utilities for clients ◦ e.g. get the ontology tree structure ◦ avoid re-parsing ontologies e.g. at the front-end Stavropoulos, ¡T. ¡G., ¡Andreadis, ¡S., ¡Riga, ¡M., ¡Kontopoulos, ¡E., ¡Mitzias, ¡P., ¡& ¡Kompatsiaris, ¡I. ¡ A ¡ Framework ¡for ¡Measuring ¡Seman1c ¡Dri- ¡in ¡Ontologies . ¡1st ¡Int. ¡Workshop ¡on ¡Seman9c ¡ Change ¡& ¡Evolving ¡Seman9cs ¡(SuCCESS'16), ¡CEUR ¡Workshop ¡Proceedings ¡Vol-­‑1695 ¡

  7. } A GUI for the SemaDrift Library (API) } Java, Apache V2 License ◦ http://mklab.iti.gr/results/tools -> SemaDrift } Pros: ◦ Popular Protégé Ontology Editor ◦ Exploit the Protégé Environment } Cons: ◦ Non-flexible development – Mandates use of Java Swing for GUI (outdated) – Different versions of Protégé use different versions of OWL-API

  8. 2 Currently an ontology pair 1: Protégé working ontology (available to view & edit) 2: Second external ontology 1

  9. } Average Concept Stability ◦ Across all concepts } Concept-per- Concept Stability ◦ Concept pairs across the ontology pair

  10. } Synthesized ontologies for 2003-2013 (one per year) for software-based artworks of Tate London } Pericles inspired (Tate partner), exploring similarities between CB, MM and SB } Lowest average: Extensional Similarities but no migrations Instances migrated

  11. Stability per Aspect in Morphing approach 1.2 1 0.8 0.6 0.4 0.2 0 2003_2004 2004_2006 2006_2007 2007_2008 2008_2010 2010_2011 2011_2012 2012_2013 Label Intensional Extensional Whole

  12. } OWL-S Ontology ◦ A popular standard for Semantic Markup of Web Services } OWL-S Profile ontology version 1.0 vs 1.2 ◦ www.w3.org/Submission/OWL-S } Average Concept Drift points to Intensional ◦ No instances exist (Extension), ◦ Slight change in labels

  13. Were removed, not only by name but also similarity Parameter, Process and Similar due Precondition Profile have properties but to no became Condition remained the same properties

  14. } Multiple ontology versions ◦ Supported in the API but not visually } Graphs ◦ … from tables } Identity based ◦ Using user input } Hybrid method ◦ First find identity, then measure

  15. } Preview

  16. } Semantic Drift tools to visually captivate semantic concept change in ontologies across versions } SemaDrift Protégé Plugin brings and visualizes SemaDrift metrics API to a popular ontology development platform } Use case scenarios in digital preservation and web service markup show insights previously not so easily accessible

  17. Th Than ank you k you! ! } Contact: athstavr@iti.gr } mklab.iti.gr

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend