%0 Journal Article %1 ZhangMa14appint %A Zhang, Fu %A Ma, Z. M. %D 2014 %J Applied Intelligence %K v1205 springer paper ai knowledge engineering data processing xml ontology semantic web zzz.sfit %N 1 %P 74-106 %R 10.1007/s10489-013-0446-4 %T Representing and Reasoning about XML with Ontologies %V 40 %X The eXtensible Markup Language (XML) has reached a wide acceptance as the relevant standardization for representing and exchanging data on the Web. Unfortunately, XML covers the syntactic level but lacks semantics, and thus cannot be directly used for the Semantic Web. Currently, finding a way to utilize XML data for the Semantic Web is challenging research. As we have known that ontology can formally represent shared domain knowledge and enable semantics interoperability. Therefore, in this paper, we investigate how to represent and reason about XML with ontologies. Firstly, we give formalized representations of XML data sources, including Document Type Definitions (DTDs), XML Schemas, and XML documents. On this basis, we propose formal approaches for transforming the XML data sources into ontologies, and we also discuss the correctness of the transformations and provide several transformation examples. Furthermore, following the proposed approaches, we implement a prototype tool that can automatically transform XML into ontologies. Finally, we apply the transformed ontologies for reasoning about XML, so that some reasoning problems of XML may be checked by the existing ontology reasoners.

@article{ZhangMa14appint, abstract = {The eXtensible Markup Language (XML) has reached a wide acceptance as the relevant standardization for representing and exchanging data on the Web. Unfortunately, XML covers the syntactic level but lacks semantics, and thus cannot be directly used for the Semantic Web. Currently, finding a way to utilize XML data for the Semantic Web is challenging research. As we have known that ontology can formally represent shared domain knowledge and enable semantics interoperability. Therefore, in this paper, we investigate how to represent and reason about XML with ontologies. Firstly, we give formalized representations of XML data sources, including Document Type Definitions (DTDs), XML Schemas, and XML documents. On this basis, we propose formal approaches for transforming the XML data sources into ontologies, and we also discuss the correctness of the transformations and provide several transformation examples. Furthermore, following the proposed approaches, we implement a prototype tool that can automatically transform XML into ontologies. Finally, we apply the transformed ontologies for reasoning about XML, so that some reasoning problems of XML may be checked by the existing ontology reasoners.}, added-at = {2014-01-15T11:04:44.000+0100}, author = {Zhang, Fu and Ma, Z. M.}, biburl = {https://www.bibsonomy.org/bibtex/26ec896b5d22d85ca5730641c06077123/flint63}, doi = {10.1007/s10489-013-0446-4}, file = {SpringerLink:2014/ZhangMa14appint.pdf:PDF}, groups = {public}, interhash = {4ac223ff3f6069f952670ce68013849b}, intrahash = {6ec896b5d22d85ca5730641c06077123}, issn = {0924-669X}, journal = {Applied Intelligence}, keywords = {v1205 springer paper ai knowledge engineering data processing xml ontology semantic web zzz.sfit}, month = {#jan#}, number = 1, pages = {74-106}, timestamp = {2018-04-16T12:34:33.000+0200}, title = {Representing and Reasoning about {XML} with Ontologies}, username = {flint63}, volume = 40, year = 2014 }