ALISE – A brief overview – Part 1
Architecture and Functions At the center are the 4 main modules of the semantic mind of ALISE: Aglaia, Hephaistos, Peripatos and Leto. When we start from the top Aglaia is the interface manager. With all her grace (after all she is one of the three Graces) she communicates between the Al!se components and the outside […]
Unlocking Value in Unstructured Data with Semantic Storage
The explosion of unstructured data is reshaping the way organizations work — and costing them more than they realize.
In this article, we explore how ALISE’s semantic storage framework helps companies unlock the hidden value in unstructured data.
From Data to Meaning: The Power of Semantic Telemetry in AI
Semantic Telemetry is changing how we understand user behavior — by showing the meaning behind every interaction. Instead of just tracking system data, this approach uses large language models (LLMs) to label conversations with context, revealing user intent, topic flow, and cognitive depth. This gives architects a clearer picture of how people really use tools […]
AL!SE: in brief
The main modules of AL!SE AL!SE consists of 4 main modules: Aglaia, Hephaistos, Peripatos and Leto. When we start from the top Aglaia is the interface manager. With all her grace (after all she is one of the three Graces) she communicates between the AL!SE components and the outside world with JSON and SXML-RPC. Hephaistos, […]
About AL!SE
AL!SE: the overall goal “The overall goal of semantic data models is to capture more meaning of data by integrating relational concepts with more powerful abstraction concepts known from the Artificial Intelligence field. The idea is to provide high level modeling primitives as an integral part of a data model in order to facilitate the […]