Facets and Typed Relations as Tools for Reasoning Processes in Information Retrieval
This work addresses information retrieval challenges in the Semantic Web, but it appears incremental as it builds on established tools in knowledge representation.
The paper tackles the problem of enhancing information retrieval in heterogeneous Semantic Web environments by combining faceted arrangement and typed relations to draw inferences along relational paths, aiming to yield new benefits for retrieval processes.
Faceted arrangement of entities and typed relations for representing different associations between the entities are established tools in knowledge representation. In this paper, a proposal is being discussed combining both tools to draw inferences along relational paths. This approach may yield new benefit for information retrieval processes, especially when modeled for heterogeneous environments in the Semantic Web. Faceted arrangement can be used as a se-lection tool for the semantic knowledge modeled within the knowledge repre-sentation. Typed relations between the entities of different facets can be used as restrictions for selecting them across the facets.