1 research outputs found
Toward Optimized Multimodal Concept Indexing
Information retrieval on the (social) web moves from a pure
term-frequency-based approach to an enhanced method that includes
conceptual multimodal features on a semantic level. In this paper, we
present an approach for semantic-based keyword search and focus especially on its optimization to scale it to real-world sized collections in
the social media domain. Furthermore, we present a faceted indexing
framework and architecture that relates content to semantic concepts to
be indexed and searched semantically. We study the use of textual concepts in a social media domain and observe a significant improvement
from using a concept-based solution for keyword searching. We address
the problem of time-complexity that is a critical issue for concept-based
methods by focusing on optimization to enable larger and more real world style application