MCHA SPAIDA: A Cooperative Query Editor with Anonymous Helpers using Ontology Mappings

Abstract

In this paper, we propose our prototype system, named MCHA SPAIDA, that allows us for cooperatively editing SPARQL queries by the help of anonymous helper users without revealing the detailed meaning of the query. This system dynamically generates ontology mappings to translate a modi ed query by using a query and some data on an endpoint. Ontology matching approaches have been applied to effectively anonymize the query to be cooperatively edited by other users without loss of semantic relations among data and vocabularies. To make ease of cooperative tracing and pro ling of a query, our method will not directly modify the queries and given ontology mappings. Rather, our method tries to add a small amount of supplemental ontology mappings to effectively anonymize the meaning of original query.

Keywords

• SPARQL
• ontology mapping
• cooperative query editing
• privacy protection
• query anonymization

MCHA SPAIDA

To overcome the issues, we are implementing a system named MCHA SPAIDA3, which is an extended version of our previously implemented system SPAIDA for utilizing ontology mappings on SPARQL queries[1{3] which also includes anonymous helper mechanism MCHA for cooperatively editing and sophisticating queries. Our system includes an \on-the- y" ontology and instance matcher to evaluate the used ontology mappings and instance mappings, suggests which mappings will be used in the query. Furthermore, the on-the- y matcher can also be used to interactively add one-time mappings that could produce more complete answer in the results of the speci ed query [ 1 ].

We are implementing a prototype system as a web application with SPARQL query editors and anonymous helpers. In order to utilize alignments as mapping data by using ontology matching tools (e.g., Alignment API [ 4 ]) and instance 3 A demo is available at http://whitebear.cs.inf.shizuoka.ac.jp/spaida-demo/

T. Adachi and N. Fukuta matching tools (e.g., ScLink [ 5 ]), SPAIDA prepares mapping repositories to the outside.

Figure 1 shows an overview of our implementing system.

Dynamic Mapping Generation

An application of the on-the- y mapping generation mechanism is MCHA (Mappingbased Conversion for Human-based query writing Assistance), which rather convert a query to another query which targets to completely different things while it tries to keep their attributes in the sense of complexity and structure of the output. This allows anonymous cooperative helper editing of a query while mitigating the targets the original user is trying to access. In this mechanism, some users are asked to help editing and enhancing a query of mapping-based conversion of a query to a \semantically equivalent or very similar" query.

References

1. Adachi , T. , Fukuta , N.: Toward Better Debugging Support on Extended SPARQL queries with On-the- y Ontology Mapping Generation . In: Proc. of The 11th International Workshop on Ontology Matching (OM2016) . pp. 239 { 240 ( 2016 ), (poster)

2. Adachi , T. , Fukuta , N.: A Mapping-enhanced Linked Data Inspection and Querying Support System using Dynamic Ontology Matching . In: Proc. of 2nd International Workshop on Platforms and Applications for Social problem Solving and Collective Reasoning (PASSCR2017) . pp. 1191 { 1194 ( 2017 )

3. Adachi , T. , Yamada , N. , Fukuta , N.: Towards Better Query Coding Support Utilizing Ontology Mappings . In: Proc. of 1st International Workshop on Platforms and Applications for Social problem Solving and Collective Reasoning (PASSCR2016) . pp. 96 { 99 ( 2016 )

4. David , J. , Euzenat , J. , Scharffe , F. , dos Santos , C.T.: The Alignment API 4.0 . In: Semantic Web Journal 2 ( 1 ), pp. 3 { 10 . IOS Press ( 2011 )

5. Nguyen , K. , Ichise , R.: ScLink: Supervised Instance Matching System for Heterogeneous Repositories . In: Journal of Intelligent Information Systems , pp. 1 { 33 . Springer US ( 2016 ). https://doi.org/10.1007/s10844-016-0426-3