Analysis and Visualization of Biological Publication Data (PDF)

Inhaltsangabe:Abstract:
The content of today¿s World Wide Web is semantically not well structured. Every-thing is built for people and the data is therefore machine-readable but not machine- understandable. The semantic Web provides a solution for this problem through a new form of content structure. One technology for developing the Semantic Web is the Resource Description Framework (RDF).
RDF is a language for representing information about resources in the World Wide Web and is particularly intended for representing metadata about Web resources. Therefore RDF provides ¿interoperability¿ between applications that exchange machine-understandable information on the Web. In this work, existing biological publication data which is stored in an object-relational database, is transformed into data represented in RDF. With the newly created RDF model it is possible to make a new way of queries, not only key word searching, but also queries with semantic sense. The additional advantage oft his representation is that it can be described not only in triples or XML structure but also in directed graphs.
The World Wide Web provides documents that are built for human usage. There are formats like HTML, SVG and other extensions like Javascript or Javaapplets which are made for representing information. The content is semantically not well structured. These documents are structured for their presentation and are meant for people rather than computer which process data and information automatically. Everything is built for people and the data therefore is machine-readable but not machine-understandable. The Semantic Web provides a solution for this problem through a new form of structuring the content of the Web. It is not a separate Web but an extension of the existing one. There is, beside the documents of the Web, well defined additional information, which the computer is able to exploit automatically. This will give search engines more selective results as answer to the user enquired queries.
Current search engines normally provide a big quantity of results to which the user has not or hardly referred initially. Their criteria of assigning a document to the set of relevant documents are the occurrences of one or several keywords. The results could be more precise if additional information which concerns the question would be considered. For example if somebody searches a document of mister Miller, the search engine could take into account, that one [...]