{"title":"A mapping-enhanced linked data inspection and querying support system using dynamic ontology matching","authors":"Takuya Adachi, Naoki Fukuta","doi":"10.1145/3106426.3109414","DOIUrl":null,"url":null,"abstract":"Supporting heterogeneous ontologies is an important issue on retrieving from and linking to linked data stored in various SPARQL endpoints via SPARQL queries. There are several approaches to support the coding process of a SPARQL query for users who are unfamiliar to code it. On the use of some ontology mapping-based support approaches on SPARQL-based query systems, we often assume that the users already have appropriate weighted ontology mappings for the ontologies used in the query. In this paper, we present ontology mapping inspection mechanisms for mapping-enhanced SPARQL queries to widely retrieve various data from Linked Open Data (LOD). Our dynamic ontology mapping adaptation technique complements the used incomplete ontology mappings by dynamically detecting and adding missing mappings to include the correspondences between entities of terms in heterogeneous ontologies.","PeriodicalId":20685,"journal":{"name":"Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3106426.3109414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Supporting heterogeneous ontologies is an important issue on retrieving from and linking to linked data stored in various SPARQL endpoints via SPARQL queries. There are several approaches to support the coding process of a SPARQL query for users who are unfamiliar to code it. On the use of some ontology mapping-based support approaches on SPARQL-based query systems, we often assume that the users already have appropriate weighted ontology mappings for the ontologies used in the query. In this paper, we present ontology mapping inspection mechanisms for mapping-enhanced SPARQL queries to widely retrieve various data from Linked Open Data (LOD). Our dynamic ontology mapping adaptation technique complements the used incomplete ontology mappings by dynamically detecting and adding missing mappings to include the correspondences between entities of terms in heterogeneous ontologies.
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