KOPAR · Knowledge Publishing, Acquisition and Representation

Knowledge Publishing, Acquisition and Representation

Scientific publications aggregate data by encompassing it within a persuasive narrative. Such aggregation is federated as authors reference external sources, analyse data elsewhere and summarize everything over the document. The KOPAR project addresses the problem of supporting such aggregation over a document that is to be born semantic. This means, a document with characterized entities that are meaningful for machines to process. Conceptual elements such as Research Objects, nanopublications, references, experimental protocols and data are to be logically assembled within the document as self- describing, machine processable elements. The prototype illustrating how this research is put into practice was developed in collaboration with ZPID (psychology information center for the German-speaking countries). The prototype delivers a simple framework upon which functional features over characterized entities are made available for the end user. In this way, for instance, authors are recognized by software and information from other sources, e.g. CrossRef, is aggregated. Then, everything is made available to the end user; thus, enhancing the experience and making extensive use of resources available over the web. Furthermore, recognized entities in the content may also be used by other resources in the web -bidirectional reuse. The KOPAR approach is simple, it enables documents to be born semantics and interoperable. By doing so, reuse and be reused as well as enhance functionality over meaningful entities in the content. The inquiring society understands web content as interactive content; the experience laymen have with web content is rarely static. Also, content in the web is interoperable; this is understood and extensively used by web developers. These two characteristics are not to be found with scientific content. Although this content is interactive in nature, data can be presented in many ways; similarly, data can be enhanced with several information sources readily available over the web. Having interoperable content helps researchers to tailor functional features in order to make a case that is valid across several audiences. For instance, a graphic that can easily be customized may be used to explain a phenomenon to non experts. Being able to develop by reusing scientific content also makes it possible for non scientific web developers to build functional features depending on the audience they are targeting. Furthermore, having semantics in web content also makes it simpler for researchers to find information by being more specific when building queries.

Data: CORDIS, © European Union