Semantic search in the World News domain using automatically extracted metadata files

Kallipolitis, Leonidas; Karpis, Vassilis; Karali, Isambo

doi:10.1016/j.knosys.2011.12.007

Cited by 16 publications

(6 citation statements)

References 34 publications

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“…For general fields, semantic search and intelligent question answering are two common ones. Semantic search not only greatly improves the accuracy and predictability of search engines such as Google and Wiki but also injects new vitality into the analysis of abnormal crowd behaviors (Hatirnaz et al, 2020), the power field , and domain of World News (Kallipolitis et al, 2012).…”

Section: Application Of the Knowledge Graphmentioning

confidence: 99%

Research Review of the Knowledge Graph and its Application in Power System Dispatching and Operation

Chen

Lu²,

Pan³

et al. 2022

Front. Energy Res.

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With the construction of a new power system and the proposal of a double carbon goal, power system operation data are growing explosively, and the optimization of power system dispatching operation is becoming more and more complex. Relying on traditional pure manual dispatching is difficult to meet the dispatching needs. The emerging knowledge graph technology in the field of the artificial intelligence technology is one of the effective methods to solve this problem. Because the topological structure of the power system itself is consistent with the relational structure of graph theory, through the establishment of a relevant knowledge graph, the real operating state of the power system can be restored to the maximum extent by effectively preserving the correlation implicit in the data. Meanwhile, expressing the hidden knowledge in the power system dispatching operation in the form of a knowledge graph has become the focus of research at home and abroad. This study summarizes the development of the knowledge graph technology from the aspects of knowledge extraction, knowledge representation learning, knowledge mining, knowledge reasoning, knowledge fusion, and the application of knowledge graph and introduces the application and prospect of knowledge graph in the power system dispatching operation from the aspects of the auxiliary optimization decision, vertical risk control, operation mode analysis, optimization model improvement experience, and super regulation parameters.

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Section: Application Of the Knowledge Graphmentioning

confidence: 99%

Research Review of the Knowledge Graph and its Application in Power System Dispatching and Operation

Chen

Lu²,

Pan³

et al. 2022

Front. Energy Res.

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“…The semantic search technology [14][15][16][17] is also used in DSAM to capture the conceptualizations associated with the user query requirements. This technology is very popular in information retrieval [18], and many semantic search approaches have been proposed.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

“…(2) Information extraction: firstly, the features of each resource file captured by the crawler are extracted as a vector set. Then these features are converted into semantic information through the technique of structural analysis, noise reduction, duplicate content elimination, and text extraction [29][30][31]. Lastly, the semantic information is broken down into the subject tag, the concept tag, the instance tag, and label texts.…”

Section: Information Collection Module Information Collectionmentioning

confidence: 99%

Domain-Oriented Subject Aware Model for Multimedia Data Retrieval

Wang

2013

Mathematical Problems in Engineering

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With the increment of the scale of internet information as well as the cross-correlation interaction, how to achieve accurate retrieval of multimedia data is an urgent question in terms of efficiently utilizing information resources. However, existing information retrieval approaches provide only limited capabilities to search multimedia data. In order to improve the ability of information retrieval, we propose a domain-oriented subject aware model by introducing three innovative improvements. Firstly, we propose the text-image feature mapping method based on the transfer learning to extract image semantics. Then we put forward the annotation document method to accomplish simultaneous retrieval of multimedia data. Lastly, we present subject aware graph to quantify the semantics of query requirements, which can customize query threshold to retrieve multimedia data. Conducted experiments show that our model obtained encouraging performance results.

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“…independent of bias that might be induced in manual annotation. Besides, classifying research articles, there are several other areas in which text classification can be applied, such as spam filtering (Cormacket al,2011), sentiment classification (Panget al,2002), news classification (Kallipolitis, et al,2012), word sense disambiguation (Escudero, et al,2000) and abstract classification (Trieschnigg et al,2009), etc.…”

Section: Introductionmentioning

confidence: 99%

Expert System for the Identification of Review Papers Using Ensemble Learning

Mustafa¹

2021

PSSR

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Creating an effective classifier in the presence of imbalanced data is a challenging task. The objective of this work was to apply machine learning technique to automatically identify review articles given the imbalance representation of publications types in publications. As a contribution in that direction; we develop a hybrid ensemble algorithm, called Balanced MultiBoost (BMB). The presented algorithm provides an efficient alternative to existing algorithms, by combines the strengths of Multiboost ensemble with the sampling technique. In order to demonstrate the effectiveness of BMB, we compared its performance with five existing algorithms, based on established metrics, precision, recall, F1-measure and AUC-ROC. For the comparison, we used two customized datasets extracted from Medline citations database. These datasets contain 19,299 examples for 2005 and 19,200 examples for 2006 with imbalance ratio 1:6 and 1:7, respectively. The results show, BMB is a powerful ensemble solution for identifying minority examples in a text corpus.

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Semantic search in the World News domain using automatically extracted metadata files

Cited by 16 publications

References 34 publications

Research Review of the Knowledge Graph and its Application in Power System Dispatching and Operation

Research Review of the Knowledge Graph and its Application in Power System Dispatching and Operation

Domain-Oriented Subject Aware Model for Multimedia Data Retrieval

Expert System for the Identification of Review Papers Using Ensemble Learning

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