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Integrating Structure in the Probabilistic Model for Information Retrieval
2008
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
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We propose in this article to extend the classical IR probabilistic model in order to take into account the structure through the weighting of tags. ...
In databases or in the World Wide Web, many documents are in a structured format (e.g. XML). ...
Modelling document structure In information retrieval, the probabilistic model [17] aims at estimating the relevance of a document for a given query through two probabilities: the probability of finding ...
doi:10.1109/wiiat.2008.346
dblp:conf/webi/GeryLT08
fatcat:psdngrsv5jgevg3mc5zmczxgpy
Monolingual and Cross-Lingual Probabilistic Topic Models and Their Applications in Information Retrieval
[chapter]
2013
Lecture Notes in Computer Science
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Their probabilistic framework allows for their easy integration into a language modeling framework for monolingual and crosslingual information retrieval. ...
The tutorial also demonstrates how semantically similar words across languages are integrated as useful additional evidences in cross-lingual information retrieval models. ...
-Come to know how to integrate the knowledge from probabilistic topic models into probabilistic models for information retrieval in both monolingual and cross-lingual settings. ...
doi:10.1007/978-3-642-36973-5_106
fatcat:bnk7t6l3zjfmval53l3lu5bbym
The HySpirit retrieval platform
2001
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '01
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Between 1993Between -1999 , the foundations of the retrieval platform HySpirit (HYpermedia System with Probabilistic Inference for the Retrieval of InformaTion) were developed at the University of Dortmund ...
structure of documents for retrieving best entry points into documents. • Support knowledge-oriented retrieval in semi-structured and heterogeneous data sources. • Integrate fact-oriented and content-oriented ...
Between 1993-1999, the foundations of the retrieval platform HySpirit (HYpermedia System with Probabilistic Inference for the Retrieval of InformaTion) were developed at the University of Dortmund. ...
doi:10.1145/383952.384095
dblp:conf/sigir/RollekeLK01
fatcat:tcm3lndckzew7m5eypuy6uqlye
Information Extraction and Linking in a Retrieval Context
[chapter]
2009
Lecture Notes in Computer Science
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retrieval; -Be able to integrate the (probabilistic) content models into the ranking models; -Be able to choose a model for retrieval that is well-suited for a particular task and to integrate the necessary ...
Another challenge is to integrate content recognition and content retrieval as much as possible, for instance by using the probabilistic output from the information extraction tools in the retrieval phase ...
doi:10.1007/978-3-642-00958-7_93
fatcat:r6g2o7rkfnc4jbckz46u43zqrq
Introduction to the special issue on database and information retrieval integration
2007
The VLDB journal
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A number of approaches have been suggested, both from the database and information retrieval (IR) perspective, but the motivation for finding a solution or solutions that work has grown tremendously since ...
There are many possibilities for integration such as extending a database model to more effectively deal with probabilities, extending an IR model to handle more complex structures and multiple relations ...
Probabilistic models for IR that used structure-based evidence were also developed (Croft and Turtle 1992 [7] ). ...
doi:10.1007/s00778-007-0074-x
fatcat:ld66ny4vvrbuze7hwhhl7xu2ca
Information Retrieval System and challenges with Dataspace
2016
International Journal of Computer Applications
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are used in data integration for the purpose of integrating information systems, at the same is not cost effective. ...
Information Retrieval from heterogeneous information systems is required but challenging at the same as data is stored and represented in different data models in different information systems. ...
We can choose one of the models for Information Retrieval models for Dataspace as discussed above. ...
doi:10.5120/ijca2016911128
fatcat:azjcen5w75gmxejhgc6kd6s7h4
Guido/Mir - An Experimental Musical Information Retrieval System Based On Guido Music Notation
2001
Zenodo
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Probabilistic Models The music information retrieval approach taken here is based on the general idea of characterising and summarising musical structure using probabilistic models. ...
Generally, the key idea of information retrieval based on probabilistic models is the following: Given a piece and a probabilistic model ! ...
doi:10.5281/zenodo.1417516
fatcat:jr6zhy6l3ngqfhpna4mkbswtny
Probabilistic information retrieval model for a dependency structured indexing system
2005
Information Processing & Management
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However, independence assumption is obviously and openly understood to be wrong, so we present a new method of incorporating term dependence in probabilistic retrieval model by adapting a structural index ...
Most previous information retrieval (IR) models assume that terms of queries and documents are statistically independent from each another. ...
Using no relevance information In the probabilistic retrieval model, if the relevant information is not available, we can generally assume that R<<N. ...
doi:10.1016/j.ipm.2003.11.001
fatcat:akibwtrilnaxxidxg5kmzox7ji
Page 55 of Library & Information Science Abstracts Vol. , Issue 5
[page]
1990
Library & Information Science Abstracts
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Probability estimation is important for the application of probabilistic models as well as for any evaluation in information retrieval. ...
Most currently used information retrieval models are unsuitable to describe and integrate many recent techniques, namely those for semantic-based retrieval. ...
Hierarchical Machine Learning – A Learning Methodology Inspired by Human Intelligence
[chapter]
2006
Lecture Notes in Computer Science
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Specifically, we propose the Probabilistic Model Supported Rank Aggregation (PMSRA) method to accomplish this integration. ...
One of the strategies for cross-modal learning is to integrate information from different sense modalities. The second problem is how to integrate the results from different modalities. ...
In the video retrieval, this integration is a kind of classifier combination problem, which we propose a Probabilistic Model Supported Rank Aggregation (PMSRA) method to address. ...
doi:10.1007/11795131_3
fatcat:wo4qvdwa4fasfkejxhrjiw6ici
Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes
2007
The VLDB journal
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The main findings are that the PSQL/PRA paradigm allows for the description of advanced retrieval models, is suitable for solving large-scale retrieval tasks, and outperforms traditional SQL in terms of ...
This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. ...
We thank Mounia Lalmas for her thorough editorial pass, and Ingo Frommholz for his technical improvements and tests. ...
doi:10.1007/s00778-007-0073-y
fatcat:qiexpftcfvgs7eonakx3xocb7e
Modelling Vague Content and Structure Querying in XML Retrieval with a Probabilistic Object-Relational Framework
[chapter]
2004
Lecture Notes in Computer Science
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In this paper, we use a probabilistic object-relational framework to model representation and retrieval strategies that take into account vagueness at both content and structure level. ...
Many XML retrieval applications require relevance-oriented ranking of retrieved elements in order to capture the vagueness inherent to the information retrieval process. ...
It is well known in information retrieval that users of retrieval systems often find it difficult to express their need for information in form of a query because they can be uncertain about the information ...
doi:10.1007/978-3-540-25957-2_34
fatcat:4etmybrt4jdlvht5nksvdixwji
On the Convergence of Structured Search, Information Retrieval and Trust Management in Distributed Systems
[chapter]
2005
Lecture Notes in Computer Science
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The database and information retrieval communities have long been recognized as being irreconcilable. ...
from an information retrieval context. ...
, the predominant model for modern text retrieval. ...
doi:10.1007/11550648_1
fatcat:nhplwe343jd2vfeeyx2hyjgksu
Probability Based Clustering for Document and User Properties
[article]
2011
arXiv
pre-print
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This article presents a model based on overlapping probabilistic or fuzzy clusters for such features. The model is applied within a fusion method which linearly combines several retrieval systems. ...
The fusion is based on weights for the different retrieval systems which are learned by exploiting relevance feedback information. ...
For information retrieval tasks, this means the integration of different probabilities for the relevance of a document. ...
arXiv:1102.3865v1
fatcat:63gil7lz5bdhpkjmhsivisveji
Probabilistic drug connectivity mapping
2014
BMC Bioinformatics
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We infer the relevance for retrieval by data-driven probabilistic modeling of the drug responses, resulting in probabilistic connectivity mapping, and further consider the available cell lines as different ...
This can be viewed as an information retrieval task, with the goal of finding the most relevant profiles for a given query drug. ...
Khan for his useful discussions and insights. ...
doi:10.1186/1471-2105-15-113
pmid:24742351
pmcid:PMC4011783
fatcat:mbxzgdvc6jgx3l6i47jufpcvqi
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