Semantic Labeling According to Conceptual Connections
The startup company InfoGenome adds some novel “out-of-the-box” insights to the process of adding metadata to the overwhelming volumes of information a user is faced with every day. On May 5, ReadWriteWeb published a description of InfoGenome’s i360 tool, which, in striking contrast to other semantic applications, adds human knowledge to data rather than extractable RDF. The only input i360 requires from the user is to “drag and drop” relevant information, such as a link, into the application and add some text as its description. This step is referred to by the company as “fire and move on” Other connections are made organically and rapidly by the user, by dragging and dropping any further data relevant to the link into the application, as it is encountered over time. Any entities such as people or places associated with the information already entered can be added by the user. This concept is contrary to the long-standing idea of the application of algorithms for organization of data.
The conceptual idea captured by the method is that instead of humans having to remember associations between distinct data in different formats, the software remembers the user’s mental connections between data, for humans. So, this company has discovered a new marketing idea – focusing on the power of the human brain, by organizing info according to how an individual user really constructs it conceptually. Which is not machine-readable.
So, if it is not machine-readable, why is it useful? On the i360 website, the utility of the application is presented in the context of a corporate scenario, claiming to generate significant productivity payoffs. For example, Information Workers in the enterprise are Team Members which congregate significant “Information Insights” in their human memory. These insights can be saved by i360, and can thus be retained in the enterprise when a Team Member leaves, such as free connections between any elements encountered during a company mission. For example, associating emails from various colleagues to different companies, such as Microsoft or Google. This organizes the information as the user requires it to complete his mission.Â
http://www.infogenome.net