1,433 research outputs found
Building Ontologies in DAML + OIL
In this article we describe an approach to representing and building ontologies
advocated by the Bioinformatics and Medical Informatics groups at the University
of Manchester. The hand-crafting of ontologies offers an easy and rapid avenue to
delivering ontologies. Experience has shown that such approaches are unsustainable.
Description logic approaches have been shown to offer computational support for
building sound, complete and logically consistent ontologies. A new knowledge
representation language, DAML + OIL, offers a new standard that is able to support
many styles of ontology, from hand-crafted to full logic-based descriptions with
reasoning support. We describe this language, the OilEd editing tool, reasoning
support and a strategy for the languageâs use. We finish with a current example,
in the Gene Ontology Next Generation (GONG) project, that uses DAML + OIL as
the basis for moving the Gene Ontology from its current hand-crafted, form to one
that uses logical descriptions of a conceptâs properties to deliver a more complete
version of the ontology
Using ontologies for modeling context-aware services platforms
This paper discusses the suitability of using ontologies for modeling context-aware services platforms. It addresses the directions of research we are following in the WASP (Web Architectures for Services Platforms) project. For this purpose a simple scenario is considered
The Semantic Grid: A future e-Science infrastructure
e-Science offers a promising vision of how computer and communication technology can support and enhance the scientific process. It does this by enabling scientists to generate, analyse, share and discuss their insights, experiments and results in an effective manner. The underlying computer infrastructure that provides these facilities is commonly referred to as the Grid. At this time, there are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. To bridge this practiceâaspiration divide, this paper presents a research agenda whose aim is to move from the current state of the art in e-Science infrastructure, to the future infrastructure that is needed to support the full richness of the e-Science vision. Here the future e-Science research infrastructure is termed the Semantic Grid (Semantic Grid to Grid is meant to connote a similar relationship to the one that exists between the Semantic Web and the Web). In particular, we present a conceptual architecture for the Semantic Grid. This architecture adopts a service-oriented perspective in which distinct stakeholders in the scientific process, represented as software agents, provide services to one another, under various service level agreements, in various forms of marketplace. We then focus predominantly on the issues concerned with the way that knowledge is acquired and used in such environments since we believe this is the key differentiator between current grid endeavours and those envisioned for the Semantic Grid
RDF/S)XML Linguistic Annotation of Semantic Web Pages
Although with the Semantic Web initiative much research on web pages semantic annotation has already done by AI researchers, linguistic text annotation, including the semantic one, was originally developed in Corpus Linguistics and its results have been somehow neglected by AI. ..
Topic Map Generation Using Text Mining
Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool. This text mining method may be applied to different domains as well as languages. Some examples taken form large reference databases motivate the applicability to knowledge management using declarative standards of information structuring and description. The ISO/IEC Topic Map standard is introduced as a candidate for rich metadata description of information resources and it is shown how text mining can be used for automatic topic map generation
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