Automated Ranking of Relaxing Query Results Based on XML Structure and Content Preferences

2013 ◽  
pp. 44-62
Author(s):  
Wei Yan ◽  
Li Yan ◽  
Z. M. Ma
Keyword(s):  
Structural Relaxation ◽  
User Studies ◽  
Experimental Results ◽  
Ranking Method ◽  
Ranking Algorithm ◽  
Efficiency And Effectiveness ◽  
Preference Query ◽  
The Many

This paper proposes a contextual preference query method of XML structural relaxation and content scoring to resolve the problem of empty or too many answers returned by XML. This paper proposes a XML contextual preference (XCP) model, where all the possible relaxing queries are determined by the users’ preferences. The XCP model allows users to express their interests on XML tree nodes, and then users assign interest scores to their interesting nodes for providing the best answers. A preference query results ranking method is proposed based on the XCP model, which includes: a Clusters_Merging algorithm to merge clusters based on the similarity of the context states, a Finding_Orders algorithm to find representative orders of the clusters, and a Top-k ranking algorithm to deal with the many answers problem. Results of preliminary user studies demonstrate that the method can provide users with most relevant and ranked query results. The efficiency and effectiveness of the approach are also demonstrated by experimental results.

Automated Ranking of Relaxing Query Results Based on XML Structure and Content Preferences

2011 ◽  
Vol 2 (1) ◽  
pp. 21-39 ◽  
Author(s):  
Wei Yan ◽  
Li Yan ◽  
Z. M. Ma
Keyword(s):  
Structural Relaxation ◽  
User Studies ◽  
Experimental Results ◽  
Ranking Method ◽  
Ranking Algorithm ◽  
Efficiency And Effectiveness ◽  
Preference Query ◽  
The Many

This paper proposes a contextual preference query method of XML structural relaxation and content scoring to resolve the problem of empty or too many answers returned by XML. This paper proposes a XML contextual preference (XCP) model, where all the possible relaxing queries are determined by the users’ preferences. The XCP model allows users to express their interests on XML tree nodes, and then users assign interest scores to their interesting nodes for providing the best answers. A preference query results ranking method is proposed based on the XCP model, which includes: a Clusters_Merging algorithm to merge clusters based on the similarity of the context states, a Finding_Orders algorithm to find representative orders of the clusters, and a Top-k ranking algorithm to deal with the many answers problem. Results of preliminary user studies demonstrate that the method can provide users with most relevant and ranked query results. The efficiency and effectiveness of the approach are also demonstrated by experimental results.

Web Page Ranking Algorithm Based on the Meta-Information

2014 ◽  
Vol 596 ◽  
pp. 292-296
Author(s):  
Xin Li Li
Keyword(s):  
Experimental Results ◽  
High Rank ◽  
Ranking Algorithm ◽  
Web Page ◽  
Page Ranking ◽  
Two Factors ◽  
Meta Information ◽  
The Web

PageRank algorithms only consider hyperlink information, without other page information such as page hits frequency, page update time and web page category. Therefore, the algorithms rank a lot of advertising pages and old pages pretty high and can’t meet the users' needs. This paper further studies the page meta-information such as category, page hits frequency and page update time. The Web page with high hits frequency and with smaller age should get a high rank, while the above two factors are more or less dependent on page category. Experimental results show that the algorithm has good results.

scholarly journals HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13953-13954
Author(s):  
Xu Wang ◽  
Shuai Zhao ◽  
Bo Cheng ◽  
Jiale Han ◽  
Yingting Li ◽  
...  
Keyword(s):  
Question Answering ◽  
Binary Classification ◽  
Experimental Results ◽  
Ranking Method ◽  
Knowledge Graph ◽  
Convolutional Network ◽  
Proposed Model ◽  
The Right ◽  
Novel Model ◽  
Heterogeneous Knowledge

Multi-hop question answering models based on knowledge graph have been extensively studied. Most existing models predict a single answer with the highest probability by ranking candidate answers. However, they are stuck in predicting all the right answers caused by the ranking method. In this paper, we propose a novel model that converts the ranking of candidate answers into individual predictions for each candidate, named heterogeneous knowledge graph based multi-hop and multi-answer model (HGMAN). HGMAN is capable of capturing more informative representations for relations assisted by our heterogeneous graph, which consists of multiple entity nodes and relation nodes. We rely on graph convolutional network for multi-hop reasoning and then binary classification for each node to get multiple answers. Experimental results on MetaQA dataset show the performance of our proposed model over all baselines.

Automatic Categorization of Web Database Query Results

2011 ◽  
pp. 1-27
Author(s):  
Xiangfu Meng ◽  
Li Yan ◽  
Z. M. Ma
Keyword(s):  
Heuristic Algorithms ◽  
Cost Optimization ◽  
User Preferences ◽  
Experimental Results ◽  
User Preference ◽  
Web Database ◽  
Database Queries ◽  
Automatic Categorization ◽  
Efficiency And Effectiveness ◽  
History Of

Web database queries are often exploratory. The users often find that their queries return too many answers and many of them may be irrelevant. Based on different kinds of user preferences, this chapter proposes a novel categorization approach which consists of two steps. The first step analyzes query history of all users in the system offline and generates a set of clusters over the tuples, where each cluster represents one type of user preference. When a user issues a query, the second step presents to the user a category tree over the clusters generated in the first step such that the user can easily select the subset of query results matching his needs. The problem of constructing a category tree is a cost optimization problem and heuristic algorithms were developed to compute the min-cost categorization. The efficiency and effectiveness of our approach are demonstrated by experimental results.

The Importance of Having a Balanced Rating Index for Ranking Academic Journals

2017 ◽  
Vol 42 (7) ◽  
pp. 1170-1181 ◽  
Author(s):  
Fevzi Okumus ◽  
Xinyuan Roy Zhao ◽  
Mathilda Van Niekerk ◽  
Rob Law
Keyword(s):  
Journal Ranking ◽  
Future Research ◽  
Academic Journals ◽  
Five Dimensions ◽  
Critical Dimensions ◽  
Advantages And Disadvantages ◽  
Efficiency And Effectiveness ◽  
Hospitality And Tourism ◽  
The Many ◽  
Objective Indicators

Publishing in high-ranking journals is one of the many critical dimensions by which academic performances of scholars in higher education are measured. Researchers have proposed various approaches in ranking academic journals, although they are inconsistent because of their reliance on either subjective or objective indicators. However, both of these approaches have various advantages and disadvantages and integrating these approaches to completely demonstrate journal performance on various dimensions are still lacking. This study reviews previous journal ranking approaches and proposes a balanced-rating index in ranking hospitality and tourism journals. This proposed approach integrates both subjective and objective indicators into five dimensions (article influence, journal reputation, publisher reputation, efficiency and effectiveness, and readership) with 39 indicators in relation to the corresponding data collection method needed. The balanced-rating index is a new approach in ranking hospitality and tourism journals. The study also presents several critical implications for future research and practices to consider.

scholarly journals Old and New from Multifrequency Astrophysics

2014 ◽  
Vol 1 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Franco Giovannelli ◽  
Lola Sabau-Graziati
Keyword(s):  
Review Paper ◽  
Theoretical Models ◽  
Short Review ◽  
Experimental Results ◽  
Energy Bands ◽  
The Past ◽  
Limited Length ◽  
The Many ◽  
Made In

In this short review paper we comment on some the most important steps that have been made in the past decades for a better understanding of the physics governing our Universe. The results we discuss come from the many groundand-space-based experiments developed for measuring astrophysical sources in various energy bands. These experimental results are discussed within the framework of current theoretical models. Because of the limited length of this paper, we have selected only a few topics that, in our opinion, have been crucial for the progress of our understanding of the physics of cosmic sources.

Personalized Search Ranking Based on Semantic Tag

2013 ◽  
Vol 765-767 ◽  
pp. 1581-1584
Author(s):  
Lei Huang ◽  
Chan Le Wu
Keyword(s):  
Search Engine ◽  
Service System ◽  
User Profile ◽  
Experimental Results ◽  
Ranking Method ◽  
Research Focus ◽  
Personalized Search ◽  
Improve Efficiency ◽  
Knowledge Service ◽  
Search Results

The resource getting core of knowledge Service System is the search engine, but the most studies only put attention to improve efficiency, so as to mass resources retrieval results still allows the user to face "cognitive overload" problem when the user to use searcher to get knowledge, how to provide personalized search results become a research focus. This paper provide a new personalized search ranking method, which use semantic tag and user profile to personalized the search results. The experimental results indicate that the method is effective.

A One-Stop Method for EMI Analysis Based on Wavelet Packet and SOM

2014 ◽  
Vol 530-531 ◽  
pp. 341-344 ◽  
Author(s):  
Hong Yi Li ◽  
Yuan Yang ◽  
Di Zhao
Keyword(s):  
Data Clustering ◽  
Electromagnetic Compatibility ◽  
Wavelet Packet ◽  
Experimental Results ◽  
Wavelet Packet Decomposition ◽  
Feature Map ◽  
Self Organized ◽  
Analysis Process ◽  
Efficiency And Effectiveness ◽  
One Stop

The analysis of electromagnetic interferences (EMI) has been a heated problem in the field of Electromagnetic Compatibility (EMC). As the demand of efficiency and effectiveness is getting higher, the traditional methods have become the short board in analysis process. These methods havent provided a solution to analyze the relation among multiple EMI signals, and the data clustering and mining are currently done manually. To address this problem, in this paper we propose a one-stop method based on the wavelet packet decomposition (WPD) and self-organized feature map (SOM), aiming to provide a systematical and solution to extract and analyze multiple EMI signals. Experimental results are also provided to demonstrate the validity and efficiency of the proposed method.

scholarly journals Deformation Anomalies Accompanying Tsunami Origination

2021 ◽  
Vol 9 (10) ◽  
pp. 1144
Author(s):  
Grigory Dolgikh ◽  
Stanislav Dolgikh
Keyword(s):  
Gordon Equation ◽  
Experimental Results ◽  
Tsunami Generation ◽  
Sine Gordon Equation ◽  
Laser Strainmeter ◽  
Underwater Landslide ◽  
Deformation Jump ◽  
Earth's Crust ◽  
The Many ◽  
The One

Basing on the analysis of data on variations of deformations in the Earth’s crust, which were obtained with a laser strainmeter, we found that deformation anomalies (deformation jumps) occurred at the time of tsunami generation. Deformation jumps recorded by the laser strainmeter were apparently caused by bottom displacements, leading to tsunami formation. According to the data for the many recorded tsunamigenic earthquakes, we calculated the damping ratios of the identified deformation anomalies for three regions of the planet. We proved the obtained experimental results by applying the sine-Gordon equation, the one-kink and two-kink solutions of which allowed us to describe the observed deformation anomalies. We also formulated the direction of a theoretical deformation jump occurrence—a kink (bore)—during an underwater landslide causing a tsunami.

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