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Concept learning and information inferencing on a high-dimensional semantic space. (2004)
Presentation / Conference
SONG, D., BRUZA, P. and COLE, R. 2004. Concept learning and information inferencing on a high-dimensional semantic space. Presented at the 2004 Association of Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) workshop on mathematical/formal methods in information retrieval (MF/IR 2004), 25-29 July 2004, Sheffield, UK.

How to automatically capture a significant portion of relevant background knowledge and keep it up-to-date has been a challenging problem encountered in current research on logic based information retrieval. This paper addresses this problem by inves... Read More about Concept learning and information inferencing on a high-dimensional semantic space..

Abduction in semantic space: towards a logic of discovery. (2004)
Journal Article
BRUZA, P., SONG, D. and MCARTHUR, R. 2004. Abduction in semantic space: towards a logic of discovery. Logic journal of the IGPL [online], 12(2), pages 97-109. Available from: https://doi.org/10.1093/jigpal/12.2.97

Diminishing awareness is a consequence of the information explosion: disciplines are becoming increasingly specialized; individuals are becoming ever more insular. This paper considers how awareness can be enhanced via abductive knowledge discovery t... Read More about Abduction in semantic space: towards a logic of discovery..

Classifying document titles based on information inference. (2003)
Conference Proceeding
SONG, D., BRUZA, P., HUANG, Z. and LAU, R.Y.K. 2003. Classifying document titles based on information inference. In Zhong, N., Ras, Z.W., Tsumoto, S. and Suzuki, E. (eds.) Foundations of intelligent systems: proceedings of the 14th International symposium on methodologies for intelligent systems (ISMIS 2003), 28-31 October 2003, Maebashi City, Japan. Lecture notes in computer science, 2871. Berlin: Springer [online], pages 297-306. Available from: https://doi.org/10.1007/978-3-540-39592-8_41

We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitively motivated model, namely Hyperspace Analogue to Language (HAL). A co... Read More about Classifying document titles based on information inference..

Back to the future: a logical framework for temporal information representation and inferencing from financial news. (2003)
Conference Proceeding
HUANG, Z., WONG, K.-F., LI, W., SONG, D. and BRUZA, P. 2003. Back to the future: a logical framework for temporal information representation and inferencing from financial news. In Zong, C. (ed.) Proceedings of the 2003 International conference on natural language processing and knowledge engineering (NLP-KE 2003), 26-29 October 2003, Beijing, China. New York: IEEE [online], article number 1275875, pages 95-101. Available from: https://doi.org/10.1109/NLPKE.2003.1275875

Temporal information carries information about changes and time of the changes. Consider a company investing in another company. The former may choose to inject the money gradually with the amount and frequency depending on the performance of the lat... Read More about Back to the future: a logical framework for temporal information representation and inferencing from financial news..

A comparison of various approaches for using probabilistic dependencies in language modeling. (2003)
Presentation / Conference
BRUZA, P. and SONG, D. 2003. A comparison of various approaches for using probabilistic dependencies in language modeling. In Proceedings of the 26th Annual international Association of Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) conference on research and development in information retrieval (SIGIR'03), 28 July - 1 August 2003, Toronto, Canada. New York: ACM [online], pages 419-420. Available from: https://doi.org/10.1145/860435.860530

The goals of this article is to study several estimates of relevance models which will be computed based on differing approaches for incorporating term dependency information. In this way, we hope to shed light on the relative merits of term dependen... Read More about A comparison of various approaches for using probabilistic dependencies in language modeling..

Towards context-sensitive information inference. (2003)
Journal Article
SONG, D. and BRUZA, P.D. 2003. Towards context-sensitive information inference. Journal of the Association for Information Science and Technology [online], 54(4), pages 321-334. Available from: https://doi.org/10.1002/asi.10213

Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. This article furnishes an account of information inference from a psychologistic stance. By draw... Read More about Towards context-sensitive information inference..

Inferring query models by computing information flow. (2002)
Conference Proceeding
BRUZA, P.D. and SONG, D. 2002. Inferring query models by computing information flow. In Proceedings of the 11th Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'02), 4-9 November 2002, McLean, USA. New York: ACM [online], pages 260-269. Available from: https://doi.org/10.1145/584792.584837

The language modelling approach lo information retrieval can also be used lo compute query models. A query model can be envisaged as an expansion of an initial query. The more prominent query models in the literature have a probabilistic basis. This... Read More about Inferring query models by computing information flow..

Application of aboutness to functional benchmarking in information retrieval. (2001)
Journal Article
WONG, K.-F., SONG, D., BRUZA, P. and CHENG, C.-H. 2001. Application of aboutness to functional benchmarking in information retrieval. ACM transactions on information systems, 19(4), pages 337-370. Available from: https://doi.org/10.1145/502795.502796

Experimental approaches are widely employed to benchmark the performance of an information retrieval (IR) system. Measurements in terms of recall and precision are computed as performance indicators. Although they are good at assessing the retrieval... Read More about Application of aboutness to functional benchmarking in information retrieval..

Discovering information flow using a high dimensional conceptual space. (2001)
Conference Proceeding
SONG, D. and BRUZA, P. 2001. Discovering information flow using a high dimensional conceptual space. In Proceedings of the 24th Annual international Association of Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) conference on research and development in information retrieval (SIGIR'01), 9-13 September 2001, Louisiana, USA. New York: ACM [online], pages 327-333. Available from: https://doi.org/10.1145/383952.384017

This paper presents an informational inference mechanism realized via the use of a high dimensional conceptual space. More specifically, we claim to have operationalized important aspects of Gärdenforss recent three-level cognitive model. The connect... Read More about Discovering information flow using a high dimensional conceptual space..

Aboutness from a commonsense perspective. (2000)
Journal Article
BRUZA, P.D., SONG, D.W. and WONG, K.F. 2000. Aboutness from a commonsense perspective. Journal of the Association for Information Science and Technology [online], 51(12), pages 1090-1105. Available from: https://doi.org/10.1002/1097-4571(2000)9999:9999%3C::AID-ASI1026%3E3.0.CO;2-Y

Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts spawned from logic-based information retrieval theory have formalized properties characterizing aboutness, but no consensus has yet b... Read More about Aboutness from a commonsense perspective..

Commonsense aboutness for information retrieval. (2000)
Book Chapter
BRUZA, P.D., SONG, D., WONG, K.-F. and CHENG, C.-H. 2000. Commonsense aboutness for information retrieval. In Mohammadian, M. (ed.) Advances in intelligent systems: theory and applications. Amsterdam: IOS Press, pages 288-295.

Information retrieval (IR) is driven by a process which decides whether a document is about a query. Recent attempts have been made to formalize properties of aboutness, but no consensus has been reached. The properties being proposed are largely bei... Read More about Commonsense aboutness for information retrieval..

Fundamental properties of aboutness. (1999)
Conference Proceeding
BRUZA, P., SONG, D. and WONG, K.-F. 1999. Fundamental properties of aboutness. In Proceedings of the 22nd Association of Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) annual international conference on research and development in information retrieval (SIGIR'99), 15-19 August 1999, Berkeley, USA. New York: ACM [online], pages 277-278. Available from: https://doi.org/10.1145/312624.312696

Information retrieval (IR) is a reasoning process which is assumed to be driven by determining aboutness between two information carriers (i.e. document and query). This, the study of aboutness will be very helpful to set up the theoretical foundatio... Read More about Fundamental properties of aboutness..