gnition, speech capture and speech recognition and wideband audio capture and audio listening. The Positioning domain - positioning and location value can be associated with (low-G accelerometer) and macropositioning (GPS or equivalent) and location systems. The Imaging domain - mobile metadata as an integral part of the image and video sharing value proposition. The Data domain - the integration of mobile metadata into the personal and corporate information management proposition. Information-Centric Software 10.12 Mathematical (Algorithmic Value) as an Integral Part of the Mobile Metadata Proposition Realisation of mobile metadata value in all five user value domains is, however, depen- dent on an effective implementation of standardised 'descriptive maths' (MPEG7 descriptors or other standardised equivalents) and comparative algorithms - inference and similarity algorithms. As stated earlier, some though not all of the algorithmic decisional techniques used in this space can be traced back to the Reverend Thomas Bayes, George Boole and Augustus De Morgan. Similarly, some though not all of the descriptor techniques can be traced back to Joseph Fourier (1768-1830) and Carl Friedrich Gauss (1777-1855). But life moves on and it is important to realise that mathematical techniques and algorithmic techniques continue to evolve. In the telecoms industry, we have tended historically to focus on engineering capability (infrastructure deployment) and technology capability (product R and D) to provide competitive differentiation. This may be less relevant over time. Modern mobile phones and modern mobility networks including mobility networks based on mobile metadata constructs are strategically dependent on mathematical and algorithmic value. This includes the 'descriptive maths' used to describe signals and systems and the 'decisional maths' used to respond to changing needs and conditions. An example of descriptive maths used in the signal space is the Fourier transform and present work on wavelet transforms. Descript