SPARQLoid - a Querying System using Own Ontology and Ontology Mappings with Reliability

Abstract

The heterogeneity of ontologies on the web of data is a crucial problem. This paper presents an application called SPARQLoid that uses a query rewriting method to enable users to query any SPARQL endpoint with the user's own ontology, even when their ontology mappings are not reliable enough. Often ontology matching methods produce mappings with their reliability degree. Based on the given reliability degrees of those mappings, SPARQLoid allows users to query data in the target SPARQL endpoints by using their own (or a specified certain) ontology under a control of sorting order based on their mapping reliability. In this paper, we show a brief demonstration and a comparison to related work.

Keywords

• SPARQL
• heterogeneous ontology
• query translation

Introduction

* " " & 2(4)). In the next tab (Figure 2(5)), the user writes a query based on the ontologies chosen in the first step. The query translator engine translates the entered query into a translated query that is written in ordinary SPARQL syntax (Fig. 2(6)). The translated query can be executed on the system (Fig. 2(7)). Furthermore, the user can get programming-friendly code (e.g., Java, PHP, etc.) of the query (Fig. 2(8)). 3

Related

Work and Comparison

Mosto[ 2, 3 ] is a tool to perform data translation using automatically generated SPARQL executable mappings. The SPARQL-RW[ 4 ] framework provides transparent query access over mapped RDF datasets by using Expressive and Declarative Ontology Alignment Language (EDOAL)7. The R2R framework [ 5 ] au7 http://alignapi.gforge.inria.fr/edoal.html Expressions in RANKING Ranking Criterion A+B+C sim=a+b+c max(A)+max(B)+max(C) sim=max(a)+max(b)+max(c), max(a) means maximum reliability degree when multiple mappings are available for a.

A=0.6,B=0.4,C=0.3 sim = a*0.6+b*0.4+c*0.3 A>B>C a is used as the primary key for sorting, b is used as the sub-key, and c is used as the sub-subkey Expressions in THRESHOLD Filtering Criterion A=0.3,B=0.2,C=0.4 Solutions using a ＞ 0.3, b ＞ 0.2, c ＞ 0.4 max(A)=0.5, max(B)=0.4,max(C)=0.6 Solutions with max(a) ＞ 0.5, max(b) ＞ 0.4, max(c) ＞ 0.6 A:3,B:3,C:3 At most top 3 relevant mappings will be used for A, B, and C

SPARQLoid Mosto[ 2, 3 ] SPARQL-RW[ 4 ] R2R[ 5 ] ability to generate SPARQL-compatible queries use of mapping reliability control syntax for mapping reliability ability to translate data ability to integrate data ability to generate mappings * support for complex mappings ability to publish mappings ** support for interlinking mappings application embeddability implemented, * partially implemented, ** under development tomatically discovers and publishes mappings among Linked Data sources for better integration. Table 2 briefly compares our work and the above works.

References

1. Fujino , T. and Fukuta , N.: A SPARQL Query Rewriting Approach on Heterogeneous Ontologies with Mapping Reliability, The 3rd IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2012 ), ( 2012 ). (to appear)

2. Rivero , C. , Hernandez , I. , Ruiz , D. , and Corchuelo , R.: Mosto: Generating SPARQL Executable Mappings Between Ontologies , The 30th International Conference on Conceptual Modeling Demos and Posters , ( 2011 ).

3. Rivero , C. , Hernandez , I. , Ruiz , D. , and Corchuelo , R.: Generating SPARQL Executable Mappings to Integrate Ontologies , Proc. of the 30th International Conference on Conceptual Modeling , pp. 118 - 131 , ( 2011 ).

4. Makris , K. , Bikakis , N. , Gioldasis , N. , and Christodoulakis , S.: SPARQL-RW: Transparent Query Access over Mapped RDF Data Sources , The15th International Conference on Extending Database Technology (EDBT2012) , ( 2012 ).

5. Bizer , C. and Schultz , A. : The R2R Framework: Publishing and Discovering Mappings on the Web , The 1st International Workshop on Consuming Linked Data (COLD 2010 ), ( 2010 ).