An Attribute-based Model for Semantic Retrieval
Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, (2010)Abstract
This paper introduces a knowledge-oriented approach for modelling semantic search. The modelling approach represents both semantic and textual data in one unifying framework, referred to as the probabilistic object-relational content modelling framework. The framework facilitates the transformation of ``term-only" retrieval models into ``semantic-aware'' retrieval models that consist of semantic propositions, such as relationships and classification of objects. To illustrate this facility, an attribute-based retrieval model, referred to as TF-IEF-AF-IDF, is instantiated using the modelling framework. The effectiveness of the developed retrieval model is demonstrated using the Internet Movie Database test collection. Overall, the probabilistic object-relational content model can guide how semantic search and semantic data are modelled.
