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Semantic Blogging
Wednesday, September 19, 2007
An approach to semantic blogging has been demonstrated focusing on bibliographic management (10). In the demonstrator, a person uses the Semantic Blog (based on the open-source blojsom blog software) to note down papers that they have read and papers they intend to read in the future. For instance, the person may see a relevant paper on the ACM Digital Library, downloads the PDF, and then creates a new blog entry, associating the bibtex metadata from the ACM portal to the post. The metadata about the paper, such as Author, Publications, etc. is then associated with the blog entry through importing a citation format like bibtex, or by using a web form and can be exported as RDF, using ontologies such as Dublin Core(35). The main value
proposed from the service comes from being able to easily find out if other people have semantically blogged about the same paper, or similar papers. Users can search the metadata, known as “Query-by-Entry”, where values of a specific metadata fields can be searched again of other blog entries and use that metadata as the basis of a new entry. The semantic nature of the data means that exporting to alternate formats, such as those used by a citation tool, is relatively straightforward.
One of the obvious rationales of a semantic-based blogging system is not only discovery of people who have also blogged about a paper but for the inference possible via such semantics: inferring papers which may be about similar work but tagged differently to each other. Likewise, the semantics improves the potential as modeled by systems like FilmTrust to infer trustworthiness of findings or opinions in a given blog entry. In other words, an overall goal of a semantically enabled blog network would be to reduce what has been referred to as “information smog.”
proposed from the service comes from being able to easily find out if other people have semantically blogged about the same paper, or similar papers. Users can search the metadata, known as “Query-by-Entry”, where values of a specific metadata fields can be searched again of other blog entries and use that metadata as the basis of a new entry. The semantic nature of the data means that exporting to alternate formats, such as those used by a citation tool, is relatively straightforward.
One of the obvious rationales of a semantic-based blogging system is not only discovery of people who have also blogged about a paper but for the inference possible via such semantics: inferring papers which may be about similar work but tagged differently to each other. Likewise, the semantics improves the potential as modeled by systems like FilmTrust to infer trustworthiness of findings or opinions in a given blog entry. In other words, an overall goal of a semantically enabled blog network would be to reduce what has been referred to as “information smog.”
Systems such as FilmTrust (16) will work more effectively, and with less user interaction when there is more RDF. Right now, as we have seen, FilmTrust requires people to rate a set of movies to act as a benchmark for determining trust of reviews of new movies. Lightweight mechanisms to enable capture representations of opinions, reviews, or guidance integrated into blog software can help generate clear data that can be reused by trust services, reducing the load on the individual to complete a separate and explicit task of benchmarking multiple domains.
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