| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Amati, G. & Ounis, I. | Conceptual Graphs and First Order Logic | 2000 | The Computer Journal Vol. 43(1), pp. 1-12 |
article | DOI URL |
| Abstract: We study Sowa's conceptual graphs (CGs) with both existential and universal quantifiers. We explore in detail the existential fragment. We extend and modify Sowa's original graph derivation system with new rules and prove the soundness and completeness theorem with respect to Sowa's standard interpretation of CGs into first order logic (FOL). The proof is obtained by reducing the graph derivation to a question-answering problem. The graph derivation can be equivalently obtained by querying a Definite Horn Clauses program by a conjunction of positive atoms. Moreover, the proof provides an algorithm for graph derivation in a pure proof-theoretic fashion, namely by means of a slight enhancement of the standard PROLOG interpreter. The graph derivation can be rebuilt step-by-step and constructively from the resolution-based proof. We provide a notion of CGs in normal form (the table of the conceptual graph) and show that the PROLOG interpreter also gives a projection algorithm between normal CGs. The normal forms are obtained by extending the FOL language by witnesses (new constants) and extending the graph derivation system. By applying iteratively a set of rules the reduction process terminates with the normal form of a conceptual graph. We also show that graph derivation can be reduced to a question-answering problem in propositional datalog for a subclass of simple CGs. The embedding into propositional datalog makes the complexity of the derivation polynomial. 10.1093/comjnl/43.1.1 | |||||
BibTeX:
@article{amati00conceptual,
author = {Gianni Amati and Iadh Ounis},
title = {Conceptual Graphs and First Order Logic},
journal = {The Computer Journal},
year = {2000},
volume = {43},
number = {1},
pages = {1--12},
url = {http://dx.doi.org/10.1093/comjnl/43.1.1},
doi = {http://dx.doi.org/10.1093/comjnl/43.1.1}
}
|
|||||
| Chang, Y., Ounis, I. & Kim, M. | Query reformulation using automatically generated query concepts from a document space | 2006 | Information Processing & Management Vol. 42(2), pp. 453-468 |
article | DOI URL |
| Abstract: We propose a new query reformulation approach, using a set of query concepts that are introduced to precisely denote the user's information need. Since a document collection is considered to be a domain which includes latent primitive concepts, we identify those concepts through a local pattern discovery and a global modeling using data mining techniques. For a new query, we select its most associated primitive concepts and choose the most probable interpretations as query concepts. We discuss the issue of constructing the primitive concepts from either the whole corpus or from the retrieved set of documents. Our experiments are performed on the TREC8 collection. The experimental evaluation shows that our approach is as good as current query reformulation approaches, while being particularly effective for poorly performing queries. Moreover, we find that the approach using the primitive concepts generated from the set of retrieved documents leads to the most effective performance. | |||||
BibTeX:
@article{citeulike:2068110,
author = {Youjin Chang and Iadh Ounis and Minkoo Kim},
title = {Query reformulation using automatically generated query concepts from a document space},
journal = {Information Processing & Management},
year = {2006},
volume = {42},
number = {2},
pages = {453--468},
url = {http://dx.doi.org/10.1016/j.ipm.2005.03.025},
doi = {http://dx.doi.org/10.1016/j.ipm.2005.03.025}
}
|
|||||
| Gray, A.J.G., Gray, N. & Ounis, I. | Finding Data Resources in a Virtual Observatory Using SKOS Vocabularies. [BibTeX] |
2008 | Vol. 5071BNCOD, pp. 189-192 |
inproceedings | URL |
BibTeX:
@inproceedings{conf/bncod/GrayGO07,
author = {Alasdair J. G. Gray and Norman Gray and Iadh Ounis},
title = {Finding Data Resources in a Virtual Observatory Using SKOS Vocabularies.},
booktitle = {BNCOD},
publisher = {Springer},
year = {2008},
volume = {5071},
pages = {189-192},
url = {http://dblp.uni-trier.de/db/conf/bncod/bncod2008.html#GrayGO07}
}
|
|||||
| He, B., Macdonald, C. & Ounis, I. | Retrieval sensitivity under training using different measures. [BibTeX] |
2008 | SIGIR, pp. 67-74 | inproceedings | URL |
BibTeX:
@inproceedings{conf/sigir/HeMO08,
author = {Ben He and Craig Macdonald and Iadh Ounis},
title = {Retrieval sensitivity under training using different measures.},
booktitle = {SIGIR},
publisher = {ACM},
year = {2008},
pages = {67-74},
url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#HeMO08}
}
|
|||||
| He, B., Macdonald, C. & Ounis, I. | Ranking opinionated blog posts using OpinionFinder. [BibTeX] |
2008 | SIGIR, pp. 727-728 | inproceedings | URL |
BibTeX:
@inproceedings{conf/sigir/HeMO08a,
author = {Ben He and Craig Macdonald and Iadh Ounis},
title = {Ranking opinionated blog posts using OpinionFinder.},
booktitle = {SIGIR},
publisher = {ACM},
year = {2008},
pages = {727-728},
url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#HeMO08a}
}
|
|||||
| He, B. & Ounis, I. | Query performance prediction | 2006 | Information Systems Vol. 31(7)(1) SPIRE 2004, pp. 585-594 |
article | DOI URL |
| Abstract: The prediction of query performance is an interesting and important issue in Information Retrieval (IR). Current predictors involve the use of relevance scores, which are time-consuming to compute. Therefore, current predictors are not very suitable for practical applications. In this paper, we study six predictors of query performance, which can be generated prior to the retrieval process without the use of relevance scores. As a consequence, the cost of computing these predictors is marginal. The linear and non-parametric correlations of the proposed predictors with query performance are thoroughly assessed on the Text REtrieval Conference (TREC) disk4 and disk5 (minus CR) collection with the 249 TREC topics that were used in the recent TREC2004 Robust Track. According to the results, some of the proposed predictors have significant correlation with query performance, showing that these predictors can be useful to infer query performance in practical applications. | |||||
BibTeX:
@article{citeulike:2077221,
author = {Ben He and Iadh Ounis},
title = {Query performance prediction},
booktitle = {(1) SPIRE 2004},
journal = {Information Systems},
year = {2006},
volume = {31},
number = {7},
pages = {585--594},
url = {http://dx.doi.org/10.1016/j.is.2005.11.003},
doi = {http://dx.doi.org/10.1016/j.is.2005.11.003}
}
|
|||||
| Lioma, C. & Ounis, I. | A syntactically-based query reformulation technique for information retrieval. [BibTeX] |
2008 | Inf. Process. Manage. Vol. 44(1), pp. 143-162 |
article | URL |
BibTeX:
@article{journals/ipm/LiomaO08,
author = {Christina Lioma and Iadh Ounis},
title = {A syntactically-based query reformulation technique for information retrieval.},
journal = {Inf. Process. Manage.},
year = {2008},
volume = {44},
number = {1},
pages = {143-162},
url = {http://dblp.uni-trier.de/db/journals/ipm/ipm44.html#LiomaO08}
}
|
|||||
| Macdonald, C., He, B., Ounis, I. & Soboroff, I. | Limits of opinion-finding baseline systems. [BibTeX] |
2008 | SIGIR, pp. 747-748 | inproceedings | URL |
BibTeX:
@inproceedings{conf/sigir/MacdonaldHOS08,
author = {Craig Macdonald and Ben He and Iadh Ounis and Ian Soboroff},
title = {Limits of opinion-finding baseline systems.},
booktitle = {SIGIR},
publisher = {ACM},
year = {2008},
pages = {747-748},
url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#MacdonaldHOS08}
}
|
|||||
| Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C. & Johnson, D. | Terrier Information Retrieval Platform | 2005 | Advances in Information Retrieval, pp. 517-519 | incollection | URL |
| Abstract: Terrier is a modular platform for the rapid development of large-scale Information Retrieval (IR) applications. It can index various document collections, including TREC and Web collections. Terrier also offers a range of document weighting and query expansion models, based on the Divergence From Randomness framework. It has been successfully used for ad-hoc retrieval, cross-language retrieval, Web IR and intranet search, in a centralised or distributed setting. | |||||
BibTeX:
@incollection{citeulike:2088832,
author = {Iadh Ounis and Gianni Amati and Vassilis Plachouras and Ben He and Craig Macdonald and Douglas Johnson},
title = {Terrier Information Retrieval Platform},
journal = {Advances in Information Retrieval},
year = {2005},
pages = {517--519},
url = {http://www.springerlink.com/content/r8mvrhj0ycbuqacw |
|||||
| Peng, J., Macdonald, C. & Ounis, I. | Automatic document prior feature selection for web retrieval. [BibTeX] |
2008 | SIGIR, pp. 761-762 | inproceedings | URL |
BibTeX:
@inproceedings{conf/sigir/PengMO08,
author = {Jie Peng and Craig Macdonald and Iadh Ounis},
title = {Automatic document prior feature selection for web retrieval.},
booktitle = {SIGIR},
publisher = {ACM},
year = {2008},
pages = {761-762},
url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2008.html#PengMO08}
}
|
|||||
Created by JabRef on 30/08/2008.