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Journal articles on the topic 'Browsing graph'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Chiang, Meng-Fen, Wen-Chih Peng, and Philip S. Yu. "Exploring latent browsing graph for question answering recommendation." World Wide Web 15, no. 5-6 (2011): 603–30. http://dx.doi.org/10.1007/s11280-011-0146-0.

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Wang, Youwei, Weihui Dai, and Yufei Yuan. "Website browsing aid: A navigation graph-based recommendation system." Decision Support Systems 45, no. 3 (2008): 387–400. http://dx.doi.org/10.1016/j.dss.2007.05.006.

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Gottstein, Cyprien, Philippe Raipin Parvedy, Michel Hurfin, Thomas Hassan, and Thierry Coupaye. "Partitioning Wide Area Graphs Using a Space Filling Curve." International Journal of Data Mining & Knowledge Management Process 11, no. 1 (2021): 13–31. http://dx.doi.org/10.5121/ijdkp.2021.11102.

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Graph structure is a very powerful tool to model system and represent their actual shape. For instance, modelling an infrastructure or social network naturally leads to graph. Yet, graphs can be very different from one another as they do not share the same properties (size, connectivity, communities, etc.) and building a system able to manage graphs should take into account this diversity. A big challenge concerning graph management is to design a system providing a scalable persistent storage and allowing efficient browsing. Mainly to study social graphs, the most recent developments in graph

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Beek, W., and E. Folmer. "AN INTEGRATED APPROACH FOR LINKED DATA BROWSING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W2 (July 5, 2017): 35–38. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w2-35-2017.

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The Netherlands' Cadastre, Land Registry and Mapping Agency – in short Kadaster – collects and registers administrative and spatial data on property and the rights involved. Currently, the Kadaster is publishing its geo-spatial data assets as Linked Open Data. The Kadaster manages hundreds of datasets that describe hundreds of millions of geospatial objects, including all Dutch buildings, roads, and forests. <br><br> The Kadaster exposes this large collection of data to thousands of daily users that operate from within different contexts and that need to be supported in different u

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Liu, Yiqun, Yufei Xue, Danqing Xu, et al. "Constructing a reliable Web graph with information on browsing behavior." Decision Support Systems 54, no. 1 (2012): 390–401. http://dx.doi.org/10.1016/j.dss.2012.06.001.

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Matsuura, Toshio, Kenichi Taniguchi, Sumio Masuda, and Tohru Nakamura. "A graph editor for large trees with browsing and zooming capabilities." Systems and Computers in Japan 24, no. 8 (1993): 35–46. http://dx.doi.org/10.1002/scj.4690240804.

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Poulovassilis, A., and S. G. Hild. "Hyperlog: a graph-based system for database browsing, querying, and update." IEEE Transactions on Knowledge and Data Engineering 13, no. 2 (2001): 316–33. http://dx.doi.org/10.1109/69.917568.

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Chodrow, Philip S., Nate Veldt, and Austin R. Benson. "Generative hypergraph clustering: From blockmodels to modularity." Science Advances 7, no. 28 (2021): eabh1303. http://dx.doi.org/10.1126/sciadv.abh1303.

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Hypergraphs are a natural modeling paradigm for networked systems with multiway interactions. A standard task in network analysis is the identification of closely related or densely interconnected nodes. We propose a probabilistic generative model of clustered hypergraphs with heterogeneous node degrees and edge sizes. Approximate maximum likelihood inference in this model leads to a clustering objective that generalizes the popular modularity objective for graphs. From this, we derive an inference algorithm that generalizes the Louvain graph community detection method, and a faster, specializ

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Melo, Cassio, Bénédicte Le-Grand, and Marie-Aude Aufaure. "Browsing Large Concept Lattices through Tree Extraction and Reduction Methods." International Journal of Intelligent Information Technologies 9, no. 4 (2013): 16–34. http://dx.doi.org/10.4018/ijiit.2013100102.

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Browsing concept lattices from Formal Concept Analysis (FCA) becomes a problem as the number of concepts can grow significantly with the number of objects and attributes. Interpreting the lattice through direct graph-based visualisation of the Hasse diagram rapidly becomes difficult and more synthetic representations are needed. In this work the authors propose an approach to simplify concept lattices by extracting and visualising trees derived from them. The authors further simplify the browse-able trees with two reduction methods: fault-tolerance and concept clustering.

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Brînzei, Nicolae, and Jean-François Aubry. "Graphs models and algorithms for reliability assessment of coherent and non-coherent systems." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 2 (2018): 201–15. http://dx.doi.org/10.1177/1748006x17744381.

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In this article, we propose new models and algorithms for the reliability assessment of systems relying on concepts of graphs theory. These developments exploit the order relation on the set of system components’ states which is graphically represented by the Hasse diagram. The monotony property of the reliability structure function of coherent systems allows us to obtain an ordered graph from the Hasse diagram. This ordered graph represents all the system states and it can be obtained from only the knowledge of the system tie-sets. First of all, this model gives a new way for the research of

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Zhang, Yingying, Junyu Gao, Xiaoshan Yang, Chang Liu, Yan Li, and Changsheng Xu. "Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12902–9. http://dx.doi.org/10.1609/aaai.v34i07.6988.

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With the increasing prevalence of portable computing devices, browsing unedited videos is time-consuming and tedious. Video highlight detection has the potential to significantly ease this situation, which discoveries moments of user's major or special interest in a video. Existing methods suffer from two problems. Firstly, most existing approaches only focus on learning holistic visual representations of videos but ignore object semantics for inferring video highlights. Secondly, current state-of-the-art approaches often adopt the pairwise ranking-based strategy, which cannot enjoy the global

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Ronzhin, Folmer, Maria, et al. "Kadaster Knowledge Graph: Beyond the Fifth Star of Open Data." Information 10, no. 10 (2019): 310. http://dx.doi.org/10.3390/info10100310.

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After more than a decade, the supply-driven approach to publishing public (open) data has resulted in an ever-growing number of data silos. Hundreds of thousands of datasets have been catalogued and can be accessed at data portals at different administrative levels. However, usually, users do not think in terms of datasets when they search for information. Instead, they are interested in information that is most likely scattered across several datasets. In the world of proprietary in-company data, organizations invest heavily in connecting data in knowledge graphs and/or store data in data lak

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Capps, Michael, Brian Ladd, and David Stotts. "Enhanced graph models in the Web: Multi-client, multi-head, multi-tail browsing." Computer Networks and ISDN Systems 28, no. 7-11 (1996): 1105–12. http://dx.doi.org/10.1016/0169-7552(96)00036-0.

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Bashir, Muhammad Ahmad, and Christo Wilson. "Diffusion of User Tracking Data in the Online Advertising Ecosystem." Proceedings on Privacy Enhancing Technologies 2018, no. 4 (2018): 85–103. http://dx.doi.org/10.1515/popets-2018-0033.

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Abstract Advertising and Analytics (A&A) companies have started collaborating more closely with one another due to the shift in the online advertising industry towards Real Time Bidding (RTB). One natural way to understand how user tracking data moves through this interconnected advertising ecosystem is by modeling it as a graph. In this paper, we introduce a novel graph representation, called an Inclusion graph, to model the impact of RTB on the diffusion of user tracking data in the advertising ecosystem. Through simulations on the Inclusion graph, we provide upper and lower estimates on

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Bellini, Pierfrancesco, Paolo Nesi, and Alessandro Venturi. "Linked open graph: Browsing multiple SPARQL entry points to build your own LOD views." Journal of Visual Languages & Computing 25, no. 6 (2014): 703–16. http://dx.doi.org/10.1016/j.jvlc.2014.10.003.

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Huber, Jochen, and Yun Ding. "Adapting web pages using graph partitioning algorithms for user-centric multi-device web browsing." Multimedia Tools and Applications 62, no. 1 (2012): 209–31. http://dx.doi.org/10.1007/s11042-011-0980-1.

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Jinarat, Supakpong, Choochart Haruechaiyasak, and Arnon Rungsawang. "Graph-Based Concept Clustering for Web Search Results." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 6 (2015): 1536. http://dx.doi.org/10.11591/ijece.v5i6.pp1536-1544.

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A search engine usually returns a long list of web search results corresponding to a query from the user. Users must spend a lot of time for browsing and navigating the search results for the relevant results. Many research works applied the text clustering techniques, called web search results clustering, to handle the problem. Unfortunately, search result document returned from search engine is a very short text. It is difficult to cluster related documents into the same group because a short document has low informative content. In this paper, we proposed a method to cluster the web search

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Blanke, Tobias, and Conny Kristel. "Integrating Holocaust Research." International Journal of Humanities and Arts Computing 7, no. 1-2 (2013): 41–57. http://dx.doi.org/10.3366/ijhac.2013.0080.

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In this article we present our ideas for an integrating activity for archival research on the Holocaust. We analyse how we can improve Holocaust-related collection descriptions for research, which we will make available online, and how EHRI provides travel grants for transnational access to existing infrastructures in Holocaust research. Both approaches help us overcome that Holocaust-related material is geographically dispersed and address the challenges for historical research stemming from the way documentation on the Holocaust has been attempted up to now. We have chosen to implement the E

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Zalkow, Frank, Julian Brandner, and Meinard Müller. "Efficient Retrieval of Music Recordings Using Graph-Based Index Structures." Signals 2, no. 2 (2021): 336–52. http://dx.doi.org/10.3390/signals2020021.

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Flexible retrieval systems are required for conveniently browsing through large music collections. In a particular content-based music retrieval scenario, the user provides a query audio snippet, and the retrieval system returns music recordings from the collection that are similar to the query. In this scenario, a fast response from the system is essential for a positive user experience. For realizing low response times, one requires index structures that facilitate efficient search operations. One such index structure is the K-d tree, which has already been used in music retrieval systems. A

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Ma, Shang-Pin, Hsuan-Ju Lin, and Ming-Jen Hsu. "Semantic Restful Service Composition Using Task Specification." International Journal of Software Engineering and Knowledge Engineering 30, no. 06 (2020): 835–57. http://dx.doi.org/10.1142/s0218194020400094.

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Existing Web API search engines allow only category-based browsing and keyword- or tag-based searches for RESTful services. In other words, they do not enable the discovery or composition of real-world RESTful services by application developers. This paper outlines a novel scheme, called Transformation–Annotation–Discovery (TAD), which transforms OpenAPI (Swagger) documents related to RESTful services into a graph structure and then automatically annotates the semantic concepts on graph nodes using Latent Dirichlet Allocation (LDA) and WordNet. TAD can then be used for service composition base

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Fernandez-Leiro, Rafael, and Sjors H. W. Scheres. "A pipeline approach to single-particle processing inRELION." Acta Crystallographica Section D Structural Biology 73, no. 6 (2017): 496–502. http://dx.doi.org/10.1107/s2059798316019276.

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The formal concept of a workflow to single-particle analysis of cryo-electron microscopy (cryo-EM) images in theRELIONprogram is described. In this approach, the structure-determination process is considered as a graph, where intermediate results in the form of images or metadata are the vertices, and different functionalities of the program are the edges. The new implementation automatically logs all user actions, facilitates file management and disk cleaning, and allows convenient browsing of the history of a project. Moreover, new functionality to iteratively execute consecutive jobs allows

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Wu, Zheng Zhong, Jun Ping Liu, and Jing Jin. "Development and Application of Urban Water Supplying Network System Based on GIS." Advanced Materials Research 726-731 (August 2013): 3073–76. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.3073.

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The system of urban water supplying network which is very indicate and large-scale has complex spatial information and attributes, so the traditional method to manage the water supplying network is difficult to meet the actual needs of the network. Taking a urban water supplying network as an example, making full use of its powerful function of inquiring the data, analyzing and processing the spatial data, demonstrating interactively the data and graph of the geographic information system (GIS), the information management system of water supplying network based on ArcGIS is set up to achieve t

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Destandau, Marie, Caroline Appert, and Emmanuel Pietriga. "S-Paths: Set-based visual exploration of linked data driven by semantic paths." Semantic Web 12, no. 1 (2020): 99–116. http://dx.doi.org/10.3233/sw-200383.

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Meaningful information about an RDF resource can be obtained not only by looking at its properties, but by putting it in the broader context of similar resources. Classic navigation paradigms on the Web of Data that employ a follow-your-nose strategy fail to provide such context, and put strong emphasis on first-level properties, forcing users to drill down in the graph one step at a time. We introduce the concept of semantic paths: starting from a set of resources, we follow and analyse chains of triples and characterize the sets of values at their end. We investigate a navigation strategy ba

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Kumar, Ashwani, Anuj Kumar, and Rahul Mishra. "Effective Concentrated Web Crawling Approach Path for Google." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 11 (2017): 1. http://dx.doi.org/10.23956/ijarcsse.v7i11.459.

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A concentered crawler crosses the World Wide Web, choosing out applicable pages to a predefined topic and forgetting those out of concern. Collecting domain specific documents employing focused crawlers has been considered one of most crucial schemes to detect applicable data. While browsing the Internet, it is unmanageable to act with extraneous pages and to anticipate which associates lead to quality pages. However most focused crawler use local explore algorithmic program to crisscross the web space, but they could easily entrapped within bounded a sub graph of the web that surrounds the st

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Elmqvist, Niklas, and Philippas Tsigas. "CiteWiz: A Tool for the Visualization of Scientific Citation Networks." Information Visualization 6, no. 3 (2007): 215–32. http://dx.doi.org/10.1057/palgrave.ivs.9500156.

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We present CiteWiz, an extensible framework for visualization of scientific citation networks. The system is based on a taxonomy of citation database usage for researchers, and provides a timeline visualization for overviews and an influence visualization for detailed views. The timeline displays the general chronology and importance of authors and articles in a citation database, whereas the influence visualization is implemented using the Growing Polygons technique, suitably modified to the context of browsing citation data. Using the latter technique, hierarchies of articles with potentiall

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López-Úbeda, Pilar, Manuel Carlos Díaz-Galiano, Arturo Montejo-Ráez, María-Teresa Martín-Valdivia, and L. Alfonso Ureña-López. "An Integrated Approach to Biomedical Term Identification Systems." Applied Sciences 10, no. 5 (2020): 1726. http://dx.doi.org/10.3390/app10051726.

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In this paper a novel architecture to build biomedical term identification systems is presented. The architecture combines several sources of information and knowledge bases to provide practical and exploration-enabled biomedical term identification systems. We have implemented a system to evidence the convenience of the different modules considered in the architecture. Our system includes medical term identification, retrieval of specialized literature and semantic concept browsing from medical ontologies. By applying several Natural Language Processing (NLP) technologies, we have developed a

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Soloviev, Igor, Giuseppe Avolio, and Sami Perrin. "The ATLAS Access Manager Policy Browser: state-of-the-art web technologies for a rich and interactive data visualization experience." EPJ Web of Conferences 214 (2019): 01018. http://dx.doi.org/10.1051/epjconf/201921401018.

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The ATLAS experiment is operated daily by many users and experts working concurrently on several aspects of the detector. The safe and optimal access to the various software and hardware resources of the experiment is guaranteed by a role-based access control system (RBAC) provided by the ATLAS Trigger and Data Acquisition (TDAQ) system. The roles are defined by an inheritance hierarchy. Depending on duties, every ATLAS user has a well-defined set of access privileges (rules) corresponding to a specific set of assigned roles. In total, there are several hundred roles and several thousand users

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Hammer, Barbara, and Alexander Hasenfuss. "Topographic Mapping of Large Dissimilarity Data Sets." Neural Computation 22, no. 9 (2010): 2229–84. http://dx.doi.org/10.1162/neco_a_00012.

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Topographic maps such as the self-organizing map (SOM) or neural gas (NG) constitute powerful data mining techniques that allow simultaneously clustering data and inferring their topological structure, such that additional features, for example, browsing, become available. Both methods have been introduced for vectorial data sets; they require a classical feature encoding of information. Often data are available in the form of pairwise distances only, such as arise from a kernel matrix, a graph, or some general dissimilarity measure. In such cases, NG and SOM cannot be applied directly. In thi

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Zainol, Siti Maryam. "Data Acquisition and Alert System for Recirculation Aquaculture System (RAS) using Fog Computing." Journal of Engineering and Science Research 3, no. 6 (2019): 6–10. http://dx.doi.org/10.26666/rmp.jesr.2019.6.2.

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This research presents an improved and more effective approach for data acquisition of recirculation aquaculture system (RAS). The previous research, the system uses manual methods to take the important data from RAS and it wastes the time and also gets late response from the fish farmer if the data is not in the good condition. As a result, fog computing technology is applied to overcome all these problems and acts as advance data acquisition system to keep data safely by sharing the processed data in fog computing for every tanks and analyze the data to make an accurate control/decision in t

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Karim, Abdul, Azhari Azhari, Samir Brahim Belhaouri, Ali Adil Qureshi, and Maqsood Ahmad. "Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques." Algorithms 13, no. 8 (2020): 202. http://dx.doi.org/10.3390/a13080202.

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Android-based applications are widely used by almost everyone around the globe. Due to the availability of the Internet almost everywhere at no charge, almost half of the globe is engaged with social networking, social media surfing, messaging, browsing and plugins. In the Google Play Store, which is one of the most popular Internet application stores, users are encouraged to download thousands of applications and various types of software. In this research study, we have scraped thousands of user reviews and the ratings of different applications. We scraped 148 application reviews from 14 dif

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Neumann, Andreas W., Marc Philipp, and Felix Riedel. "RecoDiver: Browsing behavior-based recommendations on dynamic graphs." AI Communications 21, no. 2-3 (2008): 177–83. http://dx.doi.org/10.3233/aic-2008-0434.

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Muhammad Ahlami Ashraf Roslan, Murizah Kassim,. "Analysisof Students’ Web Browsing Behaviours Using Data Miningat a Campus Network." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 2726–38. http://dx.doi.org/10.17762/turcomat.v12i6.5779.

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Analytics provides insight to people based on the analytics of past usage by using techniques such as statistics, data mining, machine learning and artificial intelligence. Lack of monitoring system of browsing causes low engagements that reduce the growth of certain businesses caused by unnecessary browsing for students learning time. This paper presents an analysis on browsing behavior that classifies browsed words followed their ethical word-groups browsing. An Analytic platform is created as a monitoring system of browsing behavior. Data mining, indexing and classification method are used

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Archambault, D., T. Munzner, and D. Auber. "Tugging Graphs Faster: Efficiently Modifying Path-Preserving Hierarchies for Browsing Paths." IEEE Transactions on Visualization and Computer Graphics 17, no. 3 (2011): 276–89. http://dx.doi.org/10.1109/tvcg.2010.60.

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Diederich, J., and W. T. Balke. "Automatically Created Concept Graphs Using Descriptive Keywords in the Medical Domain." Methods of Information in Medicine 47, no. 03 (2008): 241–50. http://dx.doi.org/10.3414/me0492.

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Summary Objectives: Besides keyword search, navigational search is an important means to find relevant information in digital object collections. Such navigation is often supported by categorization systems or thesauri, which provide a hierarchical view on a particular domain and allow for browsing digital collections. Existing categorization systems, however, require large and expensive efforts for the manual creation and maintenance. Our Semantic GrowBag algorithm fully automatically creates concept graphs, i.e. directed graphs similar to categorization systems but without strong subsumption

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Fakas, Georgios John, Ben Cawley, and Zhi Cai. "Automated Generation of Personal Data Reports from Relational Databases." Journal of Information & Knowledge Management 10, no. 02 (2011): 193–208. http://dx.doi.org/10.1142/s0219649211002936.

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This paper presents a novel approach for extracting personal data and automatically generating Personal Data Reports (PDRs) from relational databases. Such PDRs can be used among other purposes for compliance with Subject Access Requests of Data Protection Acts. Two methodologies with different usability characteristics are introduced: (1) the GDSBased Method and (2) the By Schema Browsing Method. The proposed methdologies combine the use of graphs and query languages for the construction of PDRs. The novelty of these methodologies is that they do not require any prior knowledge of either the

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Badgujar, Chetana, Vimla Jethani, and Tushar Ghorpade. "An Approach to Find Synonym and Bigram to Improve Query Recommendation Efficiency of Exploratory Search Using Search Goal Shift Graphs." Journal of Computational and Theoretical Nanoscience 17, no. 1 (2020): 445–50. http://dx.doi.org/10.1166/jctn.2020.8688.

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Exploratory search aids in the production of desired results which improve browsing abilities of user in current era. To improve search engine performance, this method inspects search goal shift to obtain pertinent knowledge about query entered by the user. The existing system fails to provide bigram relationship and ignores synonyms of the submitted query. Also there is un-certainty of spam links which may be included in the final result. To overcome these lacunas, the proposed framework will conduct an exploratory search to recommend query by making use of bi-gram approach which will also re

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Black, John L., Thomas M. Davison, and Ilona Box. "Methane Emissions from Ruminants in Australia: Mitigation Potential and Applicability of Mitigation Strategies." Animals 11, no. 4 (2021): 951. http://dx.doi.org/10.3390/ani11040951.

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Anthropomorphic greenhouse gases are raising the temperature of the earth and threatening ecosystems. Since 1950 atmospheric carbon dioxide has increased 28%, while methane has increased 70%. Methane, over the first 20 years after release, has 80-times more warming potential as a greenhouse gas than carbon dioxide. Enteric methane from microbial fermentation of plant material by ruminants contributes 30% of methane released into the atmosphere, which is more than any other single source. Numerous strategies were reviewed to quantify their methane mitigation potential, their impact on animal pr

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Faisst, K., E. Kapetanios, P. Wyss, M. C. Norrie, F. Gutzwiller, and J. Schilling. "Appropriateness and Necessity Research on the Internet: Using a “Second Opinion System”." Methods of Information in Medicine 39, no. 03 (2000): 233–37. http://dx.doi.org/10.1055/s-0038-1634333.

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AbstractAppropriateness and necessity research of various procedures in medicine may be the most complex field of innovation in healthcare and technology assessment. Nevertheless, the appropriateness of the indication of any medical intervention is probably more important than the outcome since even ideal quality components of structures, processes and outcomes become irrelevant without a proper indication. The first part of our appropriateness initiative in interventional cardiology and gynecology was to formulate guidelines. To define the appropriateness for coronary angiography, coronary re

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Singh, Ajeet, A. T. Vivek, and Shailesh Kumar. "AlnC: An extensive database of long non-coding RNAs in angiosperms." PLOS ONE 16, no. 4 (2021): e0247215. http://dx.doi.org/10.1371/journal.pone.0247215.

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Long non-coding RNAs (lncRNAs) are defined as transcripts of greater than 200 nucleotides that play a crucial role in various cellular processes such as the development, differentiation and gene regulation across all eukaryotes, including plant cells. Since the last decade, there has been a significant rise in our understanding of lncRNA molecular functions in plants, resulting in an exponential increase in lncRNA transcripts, while these went unannounced from the major Angiosperm plant species despite the availability of large-scale high throughput sequencing data in public repositories. We,

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Chen, Jengchung Victor, Huyen Thi Le, and Sinh Thi Thu Tran. "Understanding automated conversational agent as a decision aid: matching agent's conversation with customer's shopping task." Internet Research 31, no. 4 (2021): 1376–404. http://dx.doi.org/10.1108/intr-11-2019-0447.

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PurposeTo provide better services to customers, especially immediate responses and 24/7 availability, businesses are implementing text-based automated conversational agents, i.e. chatbots on their social platforms and websites. Chatbots are required to not only provide customers with necessary consultancy and guidance but also communicate friendly and socially. Based on the cognitive fit theory, this study attempts to examine the role of chatbot as a decision aid and how the match between information presentation in forms of decisional guidance and communication style and the shopping task inf

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Tao, CHEN, SU Rina, ZHANG Yongjuan, YIN Xin, and ZHU Rui. "Ontology Service Center: A Datahub for Ontology Application." International journal of Web & Semantic Technology 12, no. 03 (2021): 01–14. http://dx.doi.org/10.5121/ijwest.2021.12301.

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With the growth of data-oriented research in humanities, a large number of research datasets have been created and published through web services. However, how to discover, integrate and reuse these distributed heterogeneous research datasets is a challenging task. Ontology is the soul between series digital humanities resources, which provides a good way for people to discover and understand these datasets. With the release of more and more linked open data and knowledge bases, a large number of ontologies have been produced at the same time. These ontologies have different publishing formats

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Hedman, Anna, and Håkan Alm. "Fitts’ law to the rescue: A comparison of graph tables." Open Computer Science 1, no. 3 (2011). http://dx.doi.org/10.2478/s13537-011-0021-1.

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AbstractIn this paper we investigate image browsing as an interactive method for visualizing line graphs. We have compared two interfaces that both presented exactly identically looking tables, but while one version was an overview+detail interface, the other one was a distortion-oriented interface of bifocal type. We expected there to be no difference in task completion times, and found none in our first statistical evaluation. Users preferred the static overview+detail interface to the distortion-oriented, which was motivated by complaints about the changed appearance of the distortion-orien

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Requena, Borja, Giovanni Cassani, Jacopo Tagliabue, Ciro Greco, and Lucas Lacasa. "Shopper intent prediction from clickstream e-commerce data with minimal browsing information." Scientific Reports 10, no. 1 (2020). http://dx.doi.org/10.1038/s41598-020-73622-y.

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Abstract We address the problem of user intent prediction from clickstream data of an e-commerce website via two conceptually different approaches: a hand-crafted feature-based classification and a deep learning-based classification. In both approaches, we deliberately coarse-grain a new clickstream proprietary dataset to produce symbolic trajectories with minimal information. Then, we tackle the problem of trajectory classification of arbitrary length and ultimately, early prediction of limited-length trajectories, both for balanced and unbalanced datasets. Our analysis shows that k-gram stat

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Ho, Hei-Fong. "A novel approach for exploring channel dependence of consumers' latent shopping intent and the related behaviors by visualizing browsing patterns." Data Technologies and Applications ahead-of-print, ahead-of-print (2021). http://dx.doi.org/10.1108/dta-11-2020-0295.

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PurposeThis study is to propose a more effective and efficient analytic methodology based on within-site clickstream associated with path visualization to explore the channel dependence of consumers' latent shopping intent and the related behaviors, with which in turn to gain insight concerning the interactivity between webpages.Design/methodology/approachThe primary intention of the research is to design and develop a more effective and efficient approach for exploring the consumers' latent shopping intent and the related behaviors from the clickstream data. The proposed methodology is to use

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"Browsing schematics: Query-filtered graphs with context nodes." Expert Systems with Applications 1, no. 1 (1990): 88. http://dx.doi.org/10.1016/0957-4174(90)90083-7.

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Yang, Zhenyu, Zeqiu Chen, and Ken Chen. "A MONITORING SYSTEM OF AGRICULTURAL EQUIPMENT FIELD POSITION BASED ON GPS AND GIS." INMATEH Agricultural Engineering, December 31, 2020, 229–38. http://dx.doi.org/10.35633/inmateh-62-24.

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With the development of communication technology and embedded technology, mobile intelligent terminals (mobile GIS) have become the key research direction of monitoring systems. In view of this, the study first constructed the structure frame of the agricultural monitoring system and the system mobile database, and designed the monitoring system terminal, combined with the .Net Compact Framework platform to implement the system functions, and finally the monitoring system based on GPS and GIS. The function of the system was tested. The results show that the system design of this study combines

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