An Ontology-based Model for Indexing and Retrieval
This work addresses information retrieval challenges, but appears incremental as it builds on existing methods without claiming major breakthroughs.
The paper tackles the unsolved problem of information retrieval by proposing an ontology-based model that combines cognitive indexing languages with formal knowledge representation, using inferences along typed relations to determine hit quantities in retrieval processes.
Starting from an unsolved problem of information retrieval this paper presents an ontology-based model for indexing and retrieval. The model combines the methods and experiences of cognitive-to-interpret indexing languages with the strengths and possibilities of formal knowledge representation. The core component of the model uses inferences along the paths of typed relations between the entities of a knowledge representation for enabling the determination of hit quantities in the context of retrieval processes. The entities are arranged in aspect-oriented facets to ensure a consistent hierarchical structure. The possible consequences for indexing and retrieval are discussed.