Abstract: IntroductionThe Semantic Web is an extension of the current World Wide Web, based on th... more Abstract: IntroductionThe Semantic Web is an extension of the current World Wide Web, based on the ideaof exchanging information with explicit, formal and machine-accessible descriptionsof meaning. Providing information with such semantics will enable the constructionof applications that have an increased awareness of what is contained in theinformation they process and that can therefore operate more accurately. This has thepotential of
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semant... more In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online knowledge sources to derive mappings. We adopt an experimental approach in the context of matching two real life, large-scale ontologies to investigate the potential of this paradigm, its limitations, and its relation to other techniques. Our experiments yielded a promising baseline precision of 70% and identified a set of critical issues that need to be considered to achieve the full potential of the paradigm. Besides providing a good performance as a stand-alone matcher, our paradigm is complementary to existing techniques and therefore could be used in hybrid tools that would further advance the state of the art in the ontology matching field.
In this short paper, we examine current Semantic Web application and we highlight what we see as ... more In this short paper, we examine current Semantic Web application and we highlight what we see as a shift away from first generation Semantic Web applications, towards a new generation of applications, designed to exploit the large amounts of heterogeneous semantic markup, which are increasingly becoming available. Our analysis aims both to highlight the main features that can be used to compare and contrast current Semantic Web applications, as well as providing an initial blueprint for characterizing the nature of Semantic Web applications. Indeed, our ultimate goal is to specify a number of criteria, which Semantic Web applications ought to satisfy, if we want to move away from conventional semantic systems and develop a new generation of Semantic Web applications, which can succeed in applying semantic technology to the challenging context provided by the World-Wide-Web.
High quality domain ontologies are essential for successful employment of semantic Web services. ... more High quality domain ontologies are essential for successful employment of semantic Web services. However, their acquisition is difficult and costly, thus hampering the development of this field. In this paper we report on the first stage of research that aims to develop (semi-)automatic ontology learning tools in the context of Web services that can support domain experts in the ontology building task. The goal of this first stage was to get a better understanding of the problem at hand and to determine which techniques might be feasible to use. To this end, we developed a framework for (semi-)automatic ontology learning from textual sources attached to Web services. The framework exploits the fact that these sources are expressed in a specific sublanguage, making them amenable to automatic analysis. We implement two methods in this framework, which differ in the complexity of the employed linguistic analysis. We evaluate the methods in two different domains, verifying the quality of the extracted ontologies against high quality hand-built ontologies of these domains.Our evaluation lead to a set of valuable conclusions on which further work can be based. First, it appears that our method, while tailored for the Web services context, might be applicable across different domains. Second, we concluded that deeper linguistic analysis is likely to lead to better results. Finally, the evaluation metrics indicate that good results can be achieved using only relatively simple, off the shelf techniques. Indeed, the novelty of our work is not in the used natural language processing methods but rather in the way they are put together in a generic framework specialized for the context of Web services.
Abstract: IntroductionThe Semantic Web is an extension of the current World Wide Web, based on th... more Abstract: IntroductionThe Semantic Web is an extension of the current World Wide Web, based on the ideaof exchanging information with explicit, formal and machine-accessible descriptionsof meaning. Providing information with such semantics will enable the constructionof applications that have an increased awareness of what is contained in theinformation they process and that can therefore operate more accurately. This has thepotential of
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semant... more In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online knowledge sources to derive mappings. We adopt an experimental approach in the context of matching two real life, large-scale ontologies to investigate the potential of this paradigm, its limitations, and its relation to other techniques. Our experiments yielded a promising baseline precision of 70% and identified a set of critical issues that need to be considered to achieve the full potential of the paradigm. Besides providing a good performance as a stand-alone matcher, our paradigm is complementary to existing techniques and therefore could be used in hybrid tools that would further advance the state of the art in the ontology matching field.
In this short paper, we examine current Semantic Web application and we highlight what we see as ... more In this short paper, we examine current Semantic Web application and we highlight what we see as a shift away from first generation Semantic Web applications, towards a new generation of applications, designed to exploit the large amounts of heterogeneous semantic markup, which are increasingly becoming available. Our analysis aims both to highlight the main features that can be used to compare and contrast current Semantic Web applications, as well as providing an initial blueprint for characterizing the nature of Semantic Web applications. Indeed, our ultimate goal is to specify a number of criteria, which Semantic Web applications ought to satisfy, if we want to move away from conventional semantic systems and develop a new generation of Semantic Web applications, which can succeed in applying semantic technology to the challenging context provided by the World-Wide-Web.
High quality domain ontologies are essential for successful employment of semantic Web services. ... more High quality domain ontologies are essential for successful employment of semantic Web services. However, their acquisition is difficult and costly, thus hampering the development of this field. In this paper we report on the first stage of research that aims to develop (semi-)automatic ontology learning tools in the context of Web services that can support domain experts in the ontology building task. The goal of this first stage was to get a better understanding of the problem at hand and to determine which techniques might be feasible to use. To this end, we developed a framework for (semi-)automatic ontology learning from textual sources attached to Web services. The framework exploits the fact that these sources are expressed in a specific sublanguage, making them amenable to automatic analysis. We implement two methods in this framework, which differ in the complexity of the employed linguistic analysis. We evaluate the methods in two different domains, verifying the quality of the extracted ontologies against high quality hand-built ontologies of these domains.Our evaluation lead to a set of valuable conclusions on which further work can be based. First, it appears that our method, while tailored for the Web services context, might be applicable across different domains. Second, we concluded that deeper linguistic analysis is likely to lead to better results. Finally, the evaluation metrics indicate that good results can be achieved using only relatively simple, off the shelf techniques. Indeed, the novelty of our work is not in the used natural language processing methods but rather in the way they are put together in a generic framework specialized for the context of Web services.
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