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Evaluation of an inference network-based retrieval model

Howard Turtle, W. Bruce Croft
1991 ACM Transactions on Information Systems  
The performance of a retrieval system based on the inference network model is evaluated and compared to performance with conventional retrieval models,  ...  The use of inference networks to support document retrieval is introduced. A network-based retrieval model is described and compared to conventional probabilistic and Boolean models.  ...  Evaluation of an Inference Network-based Retrieval ModeI . Table II.  ... 
doi:10.1145/125187.125188 fatcat:byqcaa2zljcjdflsliz2smsi7a

An Inference Network Approach to Image Retrieval [chapter]

Donald Metzler, R. Manmatha
2004 Lecture Notes in Computer Science  
This paper proposes a model based on the Inference Network framework from information retrieval that employs a powerful query language that allows structured query operators, term weighting, and the combination  ...  The model uses non-parametric methods to estimate probabilities within the inference network.  ...  Any opinions, findings and conclusions or recommendations expressed in this material are the author(s) and do not necessarily reflect those of the sponsor.  ... 
doi:10.1007/978-3-540-27814-6_9 fatcat:h2xkmbtqsfhb5ghcjxnajrfkfe

Pertinent Information retrieval based on Possibilistic Bayesian network : origin and possibilistic perspective [article]

Kamel Garrouch, Mohamed Nazih Omri, Bachir Elayeb
2012 arXiv   pre-print
In this paper we present a synthesis of work performed on tow information retrieval models: Bayesian network information retrieval model witch encode (in) dependence relation between terms and possibilistic  ...  network information retrieval model witch make use of necessity and possibility measures to represent the fuzziness of pertinence measure.  ...  The first important Bayesian network-based IR model was the inference network model, designed by Turtle and Croft [11] .  ... 
arXiv:1206.0968v1 fatcat:zo2yvsuuzbeefoxzqcux5hvw5e

Combining link and content-based information in a Bayesian inference model for entity search

Christos L. Koumenides, Nigel R. Shadbolt
2012 Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search - JIWES '12  
An architectural model of a Bayesian inference network to support entity search in semantic knowledge bases is presented.  ...  A flexible query model is supported capable to reason with the availability of simple semantics in queries.  ...  A ranking strategy is intended to transform these implicit specifications into an execution plan for evaluating and retrieving instances from a knowledge base.  ... 
doi:10.1145/2379307.2379310 fatcat:yaqzv5us5fac3cgmmejoxnh2ui

Inference and reasoning in a Bayesian knowledge-intensive CBR system

Hoda Nikpour, Agnar Aamodt
2021 Progress in Artificial Intelligence  
The Bayesian network inference methods are employed to make the process more accurate. An experiment from oil well drilling as a complex and uncertain application domain is conducted.  ...  The semantic network inference methods and the CBR method are employed to handle the difficulties of inferencing and reasoning in uncertain domains.  ...  Pål Skalle for providing the drilling network model, and preparing the drilling cases, and Prof. Helge Langseth and Dr. Frode Sørmo for their useful suggestions.  ... 
doi:10.1007/s13748-020-00223-1 fatcat:fj5vslq6ovb4bja76jvsehpjju

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems [article]

Ahmed Taha, Yi-Ting Chen, Xitong Yang, Teruhisa Misu, Larry Davis
2019 arXiv   pre-print
This form of joint learning eliminates the need to train multiple independent networks without any performance degradation.  ...  Our approach is evaluated on two applications: person re-identification and autonomous car driving. Comparable state-of-the-art results are achieved on multiple datasets for the former application.  ...  Table 7 : 7 Goal-based retrieval quantitative evaluation using the camera modality.  ... 
arXiv:1901.07702v1 fatcat:n4mfvhtvffgrfgageplfjk2tse

Video retrieval using an MPEG-7 based inference network

Andrew Graves, Mounia Lalmas
2002 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '02  
This work proposes a model for video retrieval based upon the inference network model.  ...  The retrieval process a) exploits the distribution of evidence among the shots to perform ranking of different levels of granularity, b) addresses the idea that evidence may be inherited during evaluation  ...  We presented a model based upon the Inference Network model that preserves and uses the structural, conceptual and contextual aspects of MPEG-7.  ... 
doi:10.1145/564376.564436 dblp:conf/sigir/GravesL02 fatcat:l7oxtdg2zzdq5au2cerboqqy2q

Video retrieval using an MPEG-7 based inference network

Andrew Graves, Mounia Lalmas
2002 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '02  
This work proposes a model for video retrieval based upon the inference network model.  ...  The retrieval process a) exploits the distribution of evidence among the shots to perform ranking of different levels of granularity, b) addresses the idea that evidence may be inherited during evaluation  ...  We presented a model based upon the Inference Network model that preserves and uses the structural, conceptual and contextual aspects of MPEG-7.  ... 
doi:10.1145/564434.564436 fatcat:memficluovdmbeewocg77tyidu

A Comparison of Text Retrieval Models

H. R. Turtle, W. B. Croft
1992 Computer journal  
In this paper we introduce a recent form of the probabilistic model based on inference networks, and show how the vector space and exact-match models can be described in this framework.  ...  The retrieval effectiveness of strategies based on these models has been evaluated experimentally, but there has been little in the way of comparison in terms of their formal properties.  ...  In what follows we will describe retrieval models and introduce a probabilistic model based on inference networks.  ... 
doi:10.1093/comjnl/35.3.279 fatcat:bwipc6ljsvbkbdwxlemj5f43vi

Link-based and content-based evidential information in a belief network model

Ilmério Silva, Berthier Ribeiro-Neto, Pável Calado, Edleno Moura, Nívio Ziviani
2000 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00  
network for inference [pearl,88] Content-based indexing/ ranking [salton, 68]  ...  a framework for combining information extracted from the content of the documents with information derived from cross-references among the documents, based on belief network model. 2 History Bayesian  ...  Introduction • Strategies to determine the ranking of documents in Web Search Engine -Content-Based -Link-based -Combination of Content-based and Link-basedInference Network / Belief Network Model -  ... 
doi:10.1145/345508.345554 dblp:conf/sigir/SilvaRCMZ00 fatcat:yrrxgp3v6vcnpfbjxakkbhcimu

Designing an Internet-based group decision support system

Kung-Jeng Wang, Chen-Fu Chien
2003 Robotics and Computer-Integrated Manufacturing  
reasoning model for a certain situation or by a Bayesian network-based reasoning model for a probabilistic situation.  ...  Two major functionalities are identified and developed-(i) an information classification and retrieval module that supports the collection of opinions and ideas sharing from an organization.  ...  Acknowledgements The authors gratefully acknowledge the helpful comments and suggestions of the two anonymous referees and the editor, Professor W.G. Sullivan. This  ... 
doi:10.1016/s0736-5845(02)00063-7 fatcat:ealqhh3uznfp3kg3nsictiqagi

Exploiting Inference from Semantic Annotations for Information Retrieval

Guido Zuccon, Bevan Koopman, Peter Bruza
2014 Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval - ESAIR '14  
The increasing amount of information that is annotated against standardised semantic resources offers opportunities to incorporate sophisticated levels of reasoning, or inference, into the retrieval process  ...  We argue that integrating semantic inference in information retrieval has the potential to uncover a large amount of information that otherwise would be inaccessible; but inference is also risky and, if  ...  The model, partially inspired by some of the literature reviewed in section 2 (LUP, LI and Inference networks), performs an implicit query expansion at retrieval time by traversing a graph-based semantic  ... 
doi:10.1145/2663712.2666197 dblp:conf/cikm/ZucconKB14 fatcat:idkfcomzxfbivha6w33qztmjf4

DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep Learning

Sathwik Tejaswi Madhusudhan, Girish Chowdhary
2019 Zenodo  
Our method achieves an accuracy of 88.1% and 97 % during inference on theComp Music Carnatic dataset and its 10 Raga subset respectively making it the state-of-the-art for the Raga recognition task.  ...  We train and test the network on smaller sequences sampled from the original audio while the final inference is performed on the audio as a whole.  ...  SRGM2 For SRGM2, we are interested mostly in the sequences the model retrieves rather than inference on the audio as a whole.  ... 
doi:10.5281/zenodo.3527862 fatcat:4en4tzdidrgurifb2q2cjhihpe

Multi-Modal Retrieval using Graph Neural Networks [article]

Aashish Kumar Misraa, Ajinkya Kale, Pranav Aggarwal, Ali Aminian
2020 arXiv   pre-print
We evaluate these multi-modal embeddings quantitatively on the downstream relevance task of image retrieval on MS-COCO dataset and qualitatively on MS-COCO and an Adobe Stock dataset.  ...  Filtering based on image concepts or attributes is traditionally achieved with index-based filtering (e.g. on textual tags) or by re-ranking after an initial visual embedding based retrieval.  ...  RESULTS We first evaluate our framework on MS-COCO quantitatively and then compare it qualitatively with a ResNet152 feature based image retrieval model.  ... 
arXiv:2010.01666v1 fatcat:mtp43eajpbabnhownf6tqaxhki

Finding appropriate clinical trials: evaluating encoded eligibility criteria with incomplete data

N Ash, O Ogunyemi, Q Zeng, L Ohno-Machado
2001 Proceedings. AMIA Symposium  
In a preliminary evaluation, we found good agreement (kappa 0.86) between the system and an independent physician in selection of protocols, but poor agreement (kappa 0.24) in protocol ranking.  ...  We developed a data model of eligibility for breast cancer clinical trials, upon which the criteria were encoded.  ...  ACKNOWLEDGEMENTS This project was funded by contract 34078PP 1024 from the Massachusetts Department of Public Health, and grant DAMD 17-98-1-8093 from the Department of the army. Dr.  ... 
pmid:11825151 pmcid:PMC2243370 fatcat:5z6xdp5isza2rcm2fwwpnmqs4m
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