Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012)
0.01
0.014649043 = product of:
0.043947127 = sum of:
0.043947127 = product of:
0.08789425 = sum of:
0.08789425 = weight(_text_:indexing in 3829) [ClassicSimilarity], result of:
0.08789425 = score(doc=3829,freq=6.0), product of:
0.19998005 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.052243195 = queryNorm
0.4395151 = fieldWeight in 3829, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.046875 = fieldNorm(doc=3829)
0.5 = coord(1/2)
0.33333334 = coord(1/3)
- Abstract
- In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.