Incorporation of Japanese Information Retrieval Method Using Dependency Relationship into Probabilistic Retrieval

2000 ◽  
pp. 825-825
Author(s):  
Hiroki Fujitani ◽  
Tsunenori Mine ◽  
Makoto Amamiya
Keyword(s):  
Information Retrieval ◽  
Retrieval Method ◽  
Dependency Relationship ◽  
Probabilistic Retrieval

scholarly journals An Event Information Retrieval Method Using Features of Keyword Appearance in Newspaper Corpora

2004 ◽  
Vol 19 ◽  
pp. 225-233 ◽  
Author(s):  
Hiromi itoh Ozaku ◽  
Masao Utiyama ◽  
Hitoshi Isahara ◽  
Yasuyuki Kono ◽  
Masatsugu Kidode
Keyword(s):  
Information Retrieval ◽  
Retrieval Method ◽  
Event Information

Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020’s Tensions Over Race and Heritage

2022 ◽  
Vol 15 (1) ◽  
pp. 1-13
Author(s):  
David Otero ◽  
Patricia Martin-Rodilla ◽  
Javier Parapar
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Information Retrieval ◽  
Cultural Heritage ◽  
Digital Archives ◽  
Retrieval Method ◽  
Left Behind ◽  
Heritage Studies ◽  
Reference Collection ◽  
Pooling Strategies

Social networks constitute a valuable source for documenting heritage constitution processes or obtaining a real-time snapshot of a cultural heritage research topic. Many heritage researchers use social networks as a social thermometer to study these processes, creating, for this purpose, collections that constitute born-digital archives potentially reusable, searchable, and of interest to other researchers or citizens. However, retrieval and archiving techniques used in social networks within heritage studies are still semi-manual, being a time-consuming task and hindering the reproducibility, evaluation, and open-up of the collections created. By combining Information Retrieval strategies with emerging archival techniques, some of these weaknesses can be left behind. Specifically, pooling is a well-known Information Retrieval method to extract a sample of documents from an entire document set (posts in case of social network’s information), obtaining the most complete and unbiased set of relevant documents on a given topic. Using this approach, researchers could create a reference collection while avoiding annotating the entire corpus of documents or posts retrieved. This is especially useful in social media due to the large number of topics treated by the same user or in the same thread or post. We present a platform for applying pooling strategies combined with expert judgment to create cultural heritage reference collections from social networks in a customisable, reproducible, documented, and shareable way. The platform is validated by building a reference collection from a social network about the recent attacks on patrimonial entities motivated by anti-racist protests. This reference collection and the results obtained from its preliminary study are available for use. This real application has allowed us to validate the platform and the pooling strategies for creating reference collections in heritage studies from social networks.

Information retrieval method from uncertain requests and its optical implementation

1997 ◽  
Vol 136 (3-4) ◽  
pp. 288-296 ◽  
Author(s):  
Takashi Kondoh ◽  
Takashi Obi ◽  
Masahiro Yamaguchi ◽  
Nagaaki Ohyama
Keyword(s):  
Information Retrieval ◽  
Retrieval Method

A Domain Information Retrieval Method based on Pension Insurance Ontology Concept Similarity

2013 ◽  
Vol 8 (12) ◽  
Author(s):  
Qingsheng Wan ◽  
Shaobin Huang ◽  
Kai Sun ◽  
Lifu Feng ◽  
Ya Li
Keyword(s):  
Information Retrieval ◽  
Pension Insurance ◽  
Retrieval Method ◽  
Ontology Concept ◽  
Domain Information ◽  
Concept Similarity

RETRIEVING MUTATION-SPECIFIC INFORMATION FOR HUMAN PROTEINS IN UNIPROT/SWISS-PROT KNOWLEDGEBASE

2007 ◽  
Vol 05 (06) ◽  
pp. 1215-1231 ◽  
Author(s):  
YUM LINA YIP ◽  
NATHALIE LACHENAL ◽  
VIOLAINE PILLET ◽  
ANNE-LISE VEUTHEY
Keyword(s):  
Information Retrieval ◽  
Amino Acid ◽  
Single Amino Acid ◽  
Specific Information ◽  
Regular Expressions ◽  
Retrieval Method ◽  
The Public ◽  
Automatic Information ◽  
Human Proteins ◽  
Single Amino Acid Polymorphisms

The UniProt/Swiss-Prot Knowledgebase records about 30,500 variants in 5,664 proteins (Release 52.2). Most of these variants are manually curated single amino acid polymorphisms (SAPs) with references to the literature. In order to keep the list of published documents related to SAPs up to date, an automatic information retrieval method is developed to recover texts mentioning SAPs. The method is based on the use of regular expressions (patterns) and rules for the detection and validation of mutations. When evaluated using a corpus of 9,820 PubMed references, the precision of the retrieval was determined to be 89.5% over all variants. It was also found that the use of nonstandard mutation nomenclature and sequence positional correction is necessary to retrieve a significant number of relevant articles. The method was applied to the 5,664 proteins with variants. This was performed by first submitting a PubMed query to retrieve articles using gene or protein names and a list of mutation-related keywords; the SAP detection procedure was then used to recover relevant documents. The method was found to be efficient in retrieving new references on known polymorphisms. New references on known SAPs will be rendered accessible to the public via the Swiss-Prot variant pages.

Fuzzy Information Retrieval Method Based on Fuzzy-Valued Concept Networks

2014 ◽  
Vol 530-531 ◽  
pp. 506-511
Author(s):  
Liu Yang Wang ◽  
Yang Xin Yu ◽  
Lei Zhou ◽  
Sheng Hua Jin
Keyword(s):  
Information Retrieval ◽  
Network Architecture ◽  
Fuzzy Inference ◽  
Positive Association ◽  
Relationship Matrix ◽  
Fuzzy Information ◽  
Retrieval Method ◽  
Information Retrieval Systems ◽  
Fuzzy Information Retrieval ◽  
Concept Network

In order to reduce the time of fuzzy inference, the relevant matrices and the relationship matrices are used to constitute the fuzzy-valued concept networks. The elements of a relevant matrix represent the relevant degrees between concepts. The elements of a relationship matrix represent the relevant relationships between concepts. Fuzzy positive association relationship or fuzzy negative association relationship are used for formulating users queries in order to increase the flexibility of fuzzy information retrieval systems. Expanding the fuzzy-valued concept network architecture to the Internet environment, we propose a fuzzy information retrieval method based on the network-type fuzzy-valued concept network and it can be relatively more effective information retrieval in the distributed network

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