Semantic Web Developments

The vision of the semantic web is to connect data in order to provide a richer experience for users: enabling links between descriptive text, data sets, visual and audio media, etc., which is tailored to the user needs. The goal is to provide a technology that enables users to find relevant information from within a maze of data - and to allow them to contribute by adding their own knowledge to the available content.

Within the scholarly landscape this is becoming an urgent issue as disciplines converge and emerge, and a tsunami of regulated and unregulated content is published. Semantic enrichment takes various forms, and can be done manually or automatically - the latter being by far the most attractive. The immediate effect of semantic enrichment is already being felt within search engines such as Google where results are tailored to the user and provide more relevant results - the challenge for publishers is to implement similar tools within their own outputs.

Except for links to ALPSP resources on this website, the links below are to external websites and will open a new window in the browser.

ALPSP Publications (Inc. guidelines - reports - statements - research & articles)

Semantic publishing: the coming revolution in scientific journal publishing

In this April 2009 article in Learned Publishing the author provides an example of an article that he and his team have manipulated to show the type of content enrichment possible.

The Web's rich tapestry

This 2009 article in Learned Publishing evaluates the value of the semantic web to the evolution of scholarly publishing and research, and its role in allowing publishers to justify investment in the future.


Semantic web FAQs

An FAQ site about the semantic web from the W3 consortium. The site is developed as a wiki so questions and answers may be updated and changed over time.

Vocabulary Mapping Framework

VMF is a downloadable tool, originally developed with funding from the Joint Information Services Committee (JISC) and currently administered by the International DOI Foundation (IDF), to support interoperability across communities by providing extensive and authoritative mapping of vocabularies from content metadata standards and proprietary schemes.


OpenCalais - technology for semantic enrichment

This software, developed and maintained by Thomson Reuters automatically creates semantic metadata for the submitted content using natural language processing (NLP), machine learning and other methods.

schema non-semantic tagging is a collaboration between Bing, Google and Yahoo to create and supports a standard set of schemas for structured data markup on web pages. Unlike the semantic web which worked on RDFa, the tagging encouraged by uses HTML5 tags. The initiative proposes the use of a structured data markup schema that will be supported by major search engines and used for improved searching - reducing (or negating) the need for semantic tagging. Read a discussion of what this means for the future of semantic tagging:

Utopia docs

Originally designed for the Biochemical society journals, Utopia Documents is a PDF reader optimised for scientific literature (especially life science articles).  It is provided as a free add-on. See the article from the BioChemical Journal when it was first launched:

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