Making sense from Big RDF Data: OUSAF for measuring ontology usage

Recent growth and advancements in the Semantic Web have shifted the research focus from being knowledge‐centered to data‐centered. This has led to the increased use of ontologies to structurally represent the data, thereby generating huge amounts of RDF data, which we term Big RDF Data. Nevertheless, the literature lacks the tools to analyze Big RDF Data and make sense of it. Access to such tools would enable pragmatic inputs and insights for users in respect of such tasks as the usage and adoption of Ontologies, their uptake by different users in the community, and the identification of prevalent patterns. This analysis, which we term Ontology Usage, is important from the viewpoint of users who need informed inputs in the various stages of the ontology engineering lifecycle, such as ontology evolution, ontology population, and ontology deployment. In this paper, we propose the Ontology USage Analysis F̌ramework (OUSAF), which performs analysis of Ontology Usage on Big RDF Data and synthesizes the usage knowledge acquired. OUSAF provides a methodological approach to performing the various phases such as identifying, analyzing, representing, and utilizing the Ontology usage results from Big RDF Data. We describe in detail each of those phases and the metrics required to perform the analysis of each phase. The utilization of the OUSAF results obtained by users such as data publishers and ontology developers is demonstrated by a dataset collected in the e‐business domain. Copyright © 2014 John Wiley & Sons, Ltd.

[1]  Yuzhong Qu,et al.  An Empirical Study of Vocabulary Relatedness and Its Application to Recommender Systems , 2011, International Semantic Web Conference.

[2]  Richard Cyganiak,et al.  Open eBusiness Ontology Usage: Investigating Community Implementation of GoodRelations , 2011, LDOW.

[3]  Li Ding,et al.  Characterizing the Semantic Web on the Web , 2006, SEMWEB.

[4]  Mark B. Sandler,et al.  The Music Ontology , 2007, ISMIR.

[5]  Zhuzhong Qian,et al.  Towards cost efficient mobile service and information management in ubiquitous environment with cloud resource scheduling , 2014, Int. J. Inf. Manag..

[6]  Jamshaid Ashraf.  A Framework for Ontology Usage Analysis , 2012, ESWC.

[7]  Riichiro MIZOGUCHI,et al.  Towards Ontology Engineering , 1998 .

[8]  Steffen Staab,et al.  Knowledge Processes and Ontologies , 2001, IEEE Intell. Syst..

[9]  Bijan Parsia,et al.  Pellet: An OWL DL Reasoner , 2004, Description Logics.

[10]  Andreas Harth,et al.  SIOC: an approach to connect web-based communities , 2006, Int. J. Web Based Communities.

[11]  Jamshaid Ashraf,et al.  A semantic framework for ontology usage analysis , 2013 .

[12]  Antoine Zimmermann.  Ontology Recommendation for the Data Publishers , 2010 .

[13]  Yugyung Lee,et al.  A Panoramic Approach to Integrated Evaluation of Ontologies in the Semantic Web , 2007, EON.

[14]  Ljiljana Stojanovic,et al.  Methods and tools for ontology evolution , 2004 .

[15]  Krzysztof Janowicz,et al.  Linked Data, Big Data, and the 4th Paradigm , 2013, Semantic Web.

[16]  Tom Heath,et al.  Linked Data: Evolving the Web into a Global Data Space , 2011, Linked Data.

[17]  Stefan Gradmann,et al.  rdfs:frbr–Towards an Implementation Model for Library Catalogs Using Semantic Web Technology , 2005 .

[18]  Mathieu d'Aquin,et al.  Where to publish and find ontologies? A survey of ontology libraries , 2012, J. Web Semant..

[19]  Jürgen Umbrich,et al.  LDspider: An Open-source Crawling Framework for the Web of Linked Data , 2010, SEMWEB.

[20]  Miguel A. Martínez-Prieto,et al.  Exchange and Consumption of Huge RDF Data , 2012, ESWC.

[21]  Farookh Khadeer Hussain,et al.  A Framework for Measuring Ontology Usage on the Web , 2013, Comput. J..

[22]  Martin Hepp,et al.  GoodRelations: An Ontology for Describing Products and Services Offers on the Web , 2008, EKAW.

[23]  Nicola Guarino,et al.  An Overview of OntoClean , 2004, Handbook on Ontologies.

[24]  S. Borgatti,et al.  Analyzing Affiliation Networks , 2011 .

[25]  Omar Khadeer Hussain,et al.  Ontology Usage Network Analysis Framework , 2013, APWeb.

[26]  Farookh Khadeer Hussain,et al.  Empirical analysis of domain ontology usage on the Web: eCommerce domain in focus , 2014, Concurr. Comput. Pract. Exp..

[27]  Raphaël Troncy,et al.  How Google is using Linked Data Today and Vision For Tomorrow , 2010, LDSI@FIA.

[28]  Nigel Shadbolt,et al.  There's gold to be mined from all our data , 2011 .

[29]  Timothy W. Finin,et al.  Swoogle: a search and metadata engine for the semantic web , 2004, CIKM '04.

[30]  James A. Hendler,et al.  TWC data-gov corpus: incrementally generating linked government data from data.gov , 2010, WWW '10.

[31]  Marko Grobelnik,et al.  A SURVEY OF ONTOLOGY EVALUATION TECHNIQUES , 2005 .

[32]  Ian Horrocks,et al.  From SHIQ and RDF to OWL: the making of a Web Ontology Language , 2003, J. Web Semant..