Ontology mapping: the state of the art

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mapping has beeb the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping

Durable Digital Objects Rather Than Digital Preservation

Long-term digital preservation is not the best available objective. Instead, what information producers and consumers almost surely want is a universe of durable digital objects—documents and programs that will be as accessible and useful a century from now as they are today. Given the will, we could implement and deploy a practical and pleasing durability infrastructure within two years. Tools for daily work can embed packaging for durability without much burdening their users. Moving responsibility for durability from archival employees to information producers would also avoid burdening repositories with keeping up with Internet scale. An engineering prescription is available. Research libraries’ and archives’ slow advance towards practical preservation of digital content is remarkable to outsiders. Why does their progress seem stalled? Ineffective collaboration across disciplinary boundaries has surely been a major impediment. We speculate about cultural reasons for this situation and warn about possible marginalization of research librarianship as a profession.

Survey over Existing Query and Transformation Languages

A widely acknowledged obstacle for realizing the vision of the Semantic Web is the inability of many current Semantic Web approaches to cope with data available in such diverging representation formalisms as XML, RDF, or Topic Maps. A common query language is the first step to allow transparent access to data in any of these formats. To further the understanding of the requirements and approaches proposed for query languages in the conventional as well as the Semantic Web, this report surveys a large number of query languages for accessing XML, RDF, or Topic Maps. This is the first systematic survey to consider query languages from all these areas. From the detailed survey of these query languages, a common classification scheme is derived that is useful for understanding and differentiating languages within and among all three areas

Durable Digital Objects Rather Than Digital Preservation

Long-term digital preservation is not the best available objective. Instead, what information producers and consumers almost surely want is a universe of durable digital objects—documents and programs that are as accessible and useful a century from now as they are today. Given the will, we could implement and deploy a practical and pleasing durability infrastructure within two years. Tools for daily work can embed packaging for durability without much burdening their users. Moving responsibility for durability from archival employees to information producers also avoids burdening repositories with keeping up with Internet scale. An engineering prescription is available. Research libraries’ and archives’ slow advance towards practical preservation of digital content is remarkable to outsiders. Why is their progress stalled? Ineffective collaboration across disciplinary boundaries has surely been a major impediment. We speculate about cultural reasons for this situation and warn about possible marginalization of research librarianship as a profession.

The evaluation of ontologies: Editorial review vs. democratic ranking

Increasingly, the high throughput technologies used by biomedical researchers are bringing about a situation in which large bodies of data are being described using controlled structured vocabularies—also known as ontologies—in order to support the integration and analysis of this data. Annotation of data by means of ontologies is already contributing in significant ways to the cumulation of scientific knowledge and, prospectively, to the applicability of cross-domain algorithmic reasoning in support of scientific advance. This very success, however, has led to a proliferation of ontologies of varying scope and quality. We define one strategy for achieving quality assurance of ontologies—a plan of action already adopted by a large community of collaborating ontologists—which consists in subjecting ontologies to a process of peer review analogous to that which is applied to scientific journal articles

Ontology Mapping: The State of the Art

Ontology mapping is seen as a solution provider in today\u27s landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mapping has beeb the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping

Web and Semantic Web Query Languages

A number of techniques have been developed to facilitate powerful data retrieval on the Web and Semantic Web. Three categories of Web query languages can be distinguished, according to the format of the data they can retrieve: XML, RDF and Topic Maps. This article introduces the spectrum of languages falling into these categories and summarises their salient aspects. The languages are introduced using common sample data and query types. Key aspects of the query languages considered are stressed in a conclusion