In4mation 4 you!
iGlue is the revolution of meaning. It not only helps us understand information on the Internet better but it will also make the Net understand us and adapt to us.
in4, Ltd., based in Budapest, Hungary, has developed iGlue, an integrated online content manager and search engine that goes beyond today's widespread, language-dependant search mechanisms based on identifying character strings. iGlue identifies and manages entities, not keywords. Whether he is called Alejandro Magno, Büyük İskender or Lissandru lu Granni, these names all refer to the same person: Alexander the Great, and most likely we would like to find information about the person himself. This is the principle iGlue uses to manage entities appearing in web content, and it will find relevant information even if the given element appears in a form that is different from what we used in launching the search.
The most common model for connecting data on the web has been hyperlinking, which takes you not to the content element but to the web page that contains it. A hyperlink is one-directional, it points to one location and only works with net addresses. As an improvement on the hyperlink, iGlue has developed the hyperdata model. In this system, elements of syntactic value are linked with each other and any element of a web page, whether it is a word, image or a piece of data, can become an information-rich junction.
Some of the main features of the hyperdata model include:
iGlue is capable of mobilizing and interpreting simple character strings thereby entering them into the web's semantic circulation. Using iGlue, any element of a blog, database or news portal can be turned into an information junction by the click of a mouse!
The heart of the iGlue application is a collaboratively developed, flexibly structured database that contains semantic elements, entities and their relational connections. We believe that the collaboration of motivated, enthusiastic people can create a new, network-based intellectual depository of the information age which may take us to the next level of knowledge management.
The database's main features include: