Applying semantic web technologies to knowledge sharing in aerospace engineering

This paper details an integrated methodology to optimise Knowledge reuse and sharing, illustrated with a use case in the aeronautics domain. It uses Ontologies as a central modelling strategy for the Capture of Knowledge from legacy docu-ments via automated means, or directly in systems interfacing with Knowledge workers, via user-defined, web-based forms. The domain ontologies used for Knowledge Capture also guide the retrieval of the Knowledge extracted from the data using a Semantic Search System that provides support for multiple modalities during search. This approach has been applied and evaluated successfully within the aerospace domain, and is currently being extended for use in other domains on an increasingly large scale

Ontology technology for the development and deployment of learning technology systems - a survey

The World-Wide Web is undergoing dramatic changes at the moment. The Semantic Web is an initiative to bring meaning to the Web. The Semantic Web is based on ontology technology – a knowledge representation framework – at its core. We illustrate the importance of this evolutionary development. We survey five scenarios demonstrating different forms of applications of ontology technologies in the development and deployment of learning technology systems. Ontology technologies are highly useful to organise, personalise, and publish learning content and to discover, generate, and compose learning objects

An Open Framework for Integrating Widely Distributed Hypermedia Resources

The success of the WWW has served as an illustration of how hypermedia functionality can enhance access to large amounts of distributed information. However, the WWW and many other distributed hypermedia systems offer very simple forms of hypermedia functionality which are not easily applied to existing applications and data formats, and cannot easily incorporate alternative functions which would aid hypermedia navigation to and from existing documents that have not been developed with hypermedia access in mind. This paper describes the extension to a distributed environment of the open hypermedia functionality of the Microcosm system, which is designed to support the provision of hypermedia access to a wide range of source material and application, and to offer straightforward extension of the system to incorporate new forms of information access

Koyaanisqatsi in Cyberspace

Koyaanisqatsi is a Hopi Indian word that translates into English as 'life out of balance,' 'crazy life,' 'life in turmoil,' 'life disintegrating,' all meanings consistent with indicating 'a way of life which calls for another way of living.” While not wishing to suggest either that the international regime of intellectual property rights protection scientific and technical data and information is “crazy” or that it is “in turmoil”, this paper argues that the persisting drift of institutional change towards towards a stronger, more extensive and globally harmonized system of intellectual property protections during the past two decades has dangerously altered the balance between private rights and the public domain in data and information. In this regard we have embarked upon “a way of life which calls for another way of living.” High access charges imposed by holders of monopoly rights in intellectual property have overall consequences for the conduct of science that are particularly damaging to programs of exploratory research which are recognized to be critical for the sustained growth of knowledge-driven economies. Lack of restraint in privatizing the public domain in data and information has effects similar to those of non- cooperative behaviors among researchers in regard to the sharing of access to raw data-steams and information, or the systematic under- provision the documentation and annotation required to create reliably accurate and up-to-date public database resources. Both can significantly degrade the effectiveness of the research system as a whole. The urgency of working towards a restoration of proper balance between private property rights and the public domain in data and information arises from considerations beyond the need to protect the public knowledge commons upon which the vitality of open science depends. Policy-makers who seek to configure the institutional infrastructure to better accommodate emerging commercial opportunities of the information-intensive “new economy” – in the developed and developing countries alike –therefore have a common interest in reducing the impediments to the future commercial exploitation of peer-to-peer networking technologies which are likely to be posed by ever-more stringent enforcement of intellectual property rights.

Tragedy of the Public Knowledge 'Commons'? Global Science, Intellectual Property and the Digital Technology Boomerang

Radical legal innovations in intellectual property protection have been introduced by the little noticed European Database Directive of March 1996. This initiative, part of the larger institutional transformations initiated in response to the economic ramifications of rapid progress in digital information technologies, poses numerous contentious issues in law and economics. These are likely to create ambiguities for business and non-profit activities in this area for years to come, and the terms on which those issues are resolved will materially affect the costs and organizational feasibility of scientific projects that are of global reach and significance. This is the case especially in fields such as geology, oceanography and climatology, which depend heavily upon the collection, management and analysis of large volumes of observational data that cannot be regenerated. More generally the conduct of open, collaborative science - along with many of the benefits that flow from it for the developed and the developing economies alike - may be seriously jeopardized by the consequences of the new database protections. This raises the spectre of a new and different "tragedy of the commons," one created by continuing the unbalanced pressure to extract greater economic rents by means of controlling access to information. "Over-fencing," which is to say, the erection of artificial cost barriers to the production of reliable public knowledge by means of reliable public knowledge, threatens the future of "the public knowledge commons" that historically has proved critically important for rapid advance in science and technology. The paper sets out the economic case for the effectiveness of open, collaborative research, and the forces behind the recent, countervailing rush to strengthen and expand the scope of intellectual property rights protection. Focusing upon innovations in copyright law and the sui generis protection of hitherto unprotected content, it documents the genesis and analyzes the economic implications of the EC''s Database Directive, and related legislative proposals (H.R. 3125, H.R. 354 and H.R. 1858) in the US. The discussion concludes by advancing a number of modest remedial proposals that are intended to promote greater efforts to arrive at satisfactory policy solutions for this aspect of "the digital dilemma."economics of technology ;

A cascaded approach to normalising gene mentions in biomedical literature

Linking gene and protein names mentioned in the literature to unique identifiers in referent genomic databases is an essential step in accessing and integrating knowledge in the biomedical domain. However, it remains a challenging task due to lexical and terminological variation, and ambiguity of gene name mentions in documents. We present a generic and effective rule-based approach to link gene mentions in the literature to referent genomic databases, where pre-processing of both gene synonyms in the databases and gene mentions in text are first applied. The mapping method employs a cascaded approach, which combines exact, exact-like and token-based approximate matching by using flexible representations of a gene synonym dictionary and gene mentions generated during the pre-processing phase. We also consider multi-gene name mentions and permutation of components in gene names. A systematic evaluation of the suggested methods has identified steps that are beneficial for improving either precision or recall in gene name identification. The results of the experiments on the BioCreAtIvE2 data sets (identification of human gene names) demonstrated that our methods achieved highly encouraging results with F-measure of up to 81.20%

A TRAGEDY OF THE PUBLIC KNOWLEDGE ‘COMMONS’? Global Science, Intellectual Property and the Digital Technology Boomerang

Radical legal innovations in intellectual property protection have been introduced by the little noticed European Database Directive of March 1996. This initiative, part of the larger institutional transformations initiated in response to the economic ramifications of rapid progress in digital information technologies, poses numerous contentious issues in law and economics. These are likely to create ambiguities for business and non-profit activities in this area for years to come, and the terms on which those issues are resolved will materially affect the costs and organizational feasibility of scientific projects that are of global reach and significance. This is the case especially in fields such as geology, oceanography and climatology, which depend heavily upon the collection, management and analysis of large volumes of observational data that cannot be regenerated. More generally the conduct of open, collaborative science – along with many of the benefits that flow from it for the developed and the developing economies alike – may be seriously jeopardized by the consequences of the new database protections. This raises the spectre of a new and different “tragedy of the commons,” one created by continuing the unbalanced pressure to extract greater economic rents by means of controlling access to information. “Over-fencing,” which is to say, the erection of artificial cost barriers to the production of reliable public knowledge by means of reliable public knowledge, threatens the future of “the public knowledge commons” that historically has proved critically important for rapid advance in science and technology. The paper sets out the economic case for the effectiveness of open, collaborative research, and the forces behind the recent, countervailing rush to strengthen and expand the scope of intellectual property rights protection. Focusing upon innovations in copyright law and the sui generis protection of hitherto unprotected content, it documents the genesis and analyzes the economic implications of the EC’s Database Directive, and related legislative proposals (H.R. 3125, H.R. 354 and H.R. 1858) in the US. The discussion concludes by advancing a number of modest remedial proposals that are intended to promoted greater efforts to arrive at satisfactory policy solutions for this aspect of “the digital dilemma.”intellectual property rights, copyright, sui generis protection of expressive material, economics of information-goods, open science, “fair use,” scientific databases.

A Benchmark for Image Retrieval using Distributed Systems over the Internet: BIRDS-I

The performance of CBIR algorithms is usually measured on an isolated workstation. In a real-world environment the algorithms would only constitute a minor component among the many interacting components. The Internet dramati-cally changes many of the usual assumptions about measuring CBIR performance. Any CBIR benchmark should be designed from a networked systems standpoint. These benchmarks typically introduce communication overhead because the real systems they model are distributed applications. We present our implementation of a client/server benchmark called BIRDS-I to measure image retrieval performance over the Internet. It has been designed with the trend toward the use of small personalized wireless systems in mind. Web-based CBIR implies the use of heteroge-neous image sets, imposing certain constraints on how the images are organized and the type of performance metrics applicable. BIRDS-I only requires controlled human intervention for the compilation of the image collection and none for the generation of ground truth in the measurement of retrieval accuracy. Benchmark image collections need to be evolved incrementally toward the storage of millions of images and that scaleup can only be achieved through the use of computer-aided compilation. Finally, our scoring metric introduces a tightly optimized image-ranking window.Comment: 24 pages, To appear in the Proc. SPIE Internet Imaging Conference 200