Ontology-based economics knowledge sharing system

The objective of this paper is to argue the need for economics knowledge sharing and to demonstrate that it can be achieved with Semantic Web technologies. To this end, we first designed an economics knowledge sharing ontology (EKSO) to describe economic domain knowledge. We then implemented an ontology-based economics knowledge sharing system (OEKSS) based on the EKSO and Semantic Web technologies. The OEKSS included three search functions - basic search, knowledge navigation, and instrumental variable recommendation - to demonstrate how we can use shared economics knowledge in future research. In particular, an instrumental variable recommendation is made based on an instrumental variable recommendation algorithm (IVRA), which is a systematic and efficient way to find instrumental variables through EKSO in limited experimental environments. Finally, the paper presents a case study for IVRA that illustrates the usefulness and significance of the algorithm.

[1]  Eero Hyvönen,et al.  MuseumFinland - Finnish museums on the semantic web , 2005, J. Web Semant..

[2]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[3]  G Stix,et al.  The mice that warred. , 2001, Scientific American.

[4]  Peter Mika,et al.  Flink: Semantic Web technology for the extraction and analysis of social networks , 2005, J. Web Semant..

[5]  Zhisheng Huang,et al.  MultimediaN E-Culture Demonstrator , 2006, International Semantic Web Conference.

[6]  Nicholas Sambanis,et al.  Why are There so Many Civil Wars in Africa? Understanding and Preventing Violent Conflict , 2000 .

[7]  Nicola Henze,et al.  GroupMe! - Where Semantic Web meets Web 2.0 , 2007, Semantic Web Challenge.

[8]  L. Bauwens,et al.  Econometrics , 2005 .

[9]  Minsu Jang,et al.  Bossam: An Extended Rule Engine for OWL Inferencing , 2004, RuleML.

[10]  Dieter Fensel,et al.  Ontologies: A silver bullet for knowledge management and electronic commerce , 2002 .

[11]  Donghee Yoo,et al.  Hybrid query processing for personalized information retrieval on the Semantic Web , 2012, Knowl. Based Syst..

[12]  Benjamin Nowack,et al.  CONFOTO: Browsing and Annotating Conference Photos on the Semantic Web , 2006, J. Web Semant..

[13]  Zoran Budimac,et al.  Protus 2.0: Ontology-based semantic recommendation in programming tutoring system , 2012, Expert Syst. Appl..

[14]  Enrico Motta,et al.  Revyu.com: a Reviewing and Rating Site for the Web of Data , 2007, Semantic Web Challenge.

[15]  H. Lan,et al.  SWRL : A semantic Web rule language combining OWL and ruleML , 2004 .

[16]  E. Miguel,et al.  Economic Shocks and Civil Conflict: An Instrumental Variables Approach , 2004, Journal of Political Economy.

[17]  Jeremy J. Carroll,et al.  Resource description framework (rdf) concepts and abstract syntax , 2003 .

[18]  Aldo Rustichini,et al.  Social conflict and growth , 1996 .

[19]  E. Prud hommeaux,et al.  SPARQL query language for RDF , 2011 .

[20]  A. Goldberger.  STRUCTURAL EQUATION METHODS IN THE SOCIAL SCIENCES , 1972 .

[21]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[22]  Hugh Glaser,et al.  Walking through CS AKTive Space: a demonstration of an integrated Semantic Web application , 2004, J. Web Semant..

[23]  Ferdinando Villa,et al.  GrOWL: A tool for visualization and editing of OWL ontologies , 2007, J. Web Semant..

[24]  William A. Masters,et al.  Climate and Scale in Economic Growth , 2001 .

[25]  Jeffrey M. Woodbridge.  Econometric Analysis of Cross Section and Panel Data , 2002 .

[26]  Hans Tompits,et al.  Reasoning Methods for Personalization on the Semantic Web , 2004 .

[27]  Huajun Chen,et al.  The Semantic Web , 2011, Lecture Notes in Computer Science.

[28]  Deborah L. McGuinness,et al.  OWL Web ontology language overview , 2004 .