HomeTechnologyComponents → OntoLogger
OntoLogger - Ontologic LifeLogging

OntoLogger is the component of OntoLi+-x that handles all kind of tasks related with lifelogging or the quantified self, including

  • self-monitoring,
  • self-sensing, and
  • self-tracking,

such as for example:

  • capturing informations provided by multimodal input and other components,
  • tracking informations,
  • recording informations,
  • processing informations,
  • recognizing lifelog data,
  • analyzing lifelog data,
  • interpreting lifelog data,
  • storing lifelogs,
  • organizing lifelogs,
  • retrieving lifelogs,
  • journaling lifelogs,
  • modelling lifelog data,
  • generating artificial lifelog data,
  • simulating lifelog data,
  • generating informations, and
  • sending informations for multimodal output or other components.

Like the other software components the OntoLogger component is also a result of our research and development activities in the OntoLab, so that the:

  • conduction of multidimensional tasks in all directions,
  • realization of Multilingual Multimodal Multidimensional Multiparadigmatic Multimedia User Interfaces (M⁵UIs),
  • execution of the tasks and functions in relation with lifelogging in real-time, and
  • seemless interplay with the other software components

are included by design of our homogenous Ontologic System Architecture (OSA) just right from its start, so that very interesting, advanced, and complex Ontologic Applications can be realized.

Interestingly, the

  • capturing and recording functionality is based in parts on our HOLOgraphic MEdical Record (HOLOMER), while
  • journaling functionality is based in parts on the journal of our learning envrionment Salt and Pepper (Salt 'n' Pepper or S&P).

Based on Ontology
Instead of implementing a specific classification paradigm and recognition system for lifelogging data and related objects, we defined a related ontology on the basis of for example

This ontology is used in the Bridge from NI to AI, which again is based on the Artifical Intelligence (AI) capabilities and the Machine Learning (ML) functionalities of our OntoBot.

The OntoLogger component provides the foundation for the development of many interesting, sophisticated, and complex Multilingual Multimodal Multidimensional Multiparadigmatic Multimedia (M⁵) software and hardware applications and systems respectively Ontologic Applications by incorporating lifelogging data and providing services and actions in ways, that have not been envisioned before.
One prominent example is our unique life caching function that enables the sharing of lifelog information in a private, safe, and trusted way.

On the input side various applications are possible, like for example using devices like the following:

  • Ontoscope,
  • camera to capture continuous physiological data together with live first-person video of a user,
  • microphone to record sound and sound levels to recognize data in speech, and
  • electrodes of a Brain Computer Interface (BCI) to record brainwaves and to recognize emotions in thinking and dreaming.

On the output side the same applications are possible in the opposite direction by displays, loudspeakers, electrodes of a BCI, etc..

Such applications can be executed on or integrated with devices, such as for example:

  • smartphones,
  • handheld Ontoscopes,
  • smartwatches,
  • wristworn Ontoscopes,
  • smart eyewear and Head-Mounted Displays (HMDs), and
  • headworn Ontoscopes,

to complete lifelogging systems.

© and/or ® 2006-2014
Christian Stroetmann GmbH