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Artículos de revistas sobre el tema "Process querying"

Autor: Grafiati
Publicado: 1 de junio de 2024
Última modificación: 31 de julio de 2025

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1

Wang, Jianmin, Tao Jin, Raymond K. Wong, and Lijie Wen. "Querying business process model repositories." World Wide Web 17, no. 3 (2013): 427–54. http://dx.doi.org/10.1007/s11280-013-0210-z.

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2

CHANDRA, S., D. I. BLOCKLEY, and N. J. WOODMAN. "QUALITATIVE QUERYING OF PHYSICAL PROCESS SIMULATIONS." Civil Engineering Systems 10, no. 3 (1993): 225–42. http://dx.doi.org/10.1080/02630259308970125.

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Kunze, Matthias, Matthias Weidlich, and Mathias Weske. "Querying process models by behavior inclusion." Software & Systems Modeling 14, no. 3 (2013): 1105–25. http://dx.doi.org/10.1007/s10270-013-0389-6.

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4

Artem, Polyvyanyy, Ouyang Chun, Barros Alistair, and van der Aalst Wil. "Process querying: Enabling business intelligence through query-based process analytics." Decision Support Systems 100 (August 1, 2017): 41–56. https://doi.org/10.1016/j.dss.2017.04.011.

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The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process ex
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5

Ngoc Chan, Nguyen, Nattawat Nonsung, and Walid Gaaloul. "Service querying to support process variant development." Journal of Systems and Software 122 (December 2016): 538–52. http://dx.doi.org/10.1016/j.jss.2015.07.050.

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6

Jin, Tao, Jianmin Wang, Marcello La Rosa, Arthur ter Hofstede, and Lijie Wen. "Efficient querying of large process model repositories." Computers in Industry 64, no. 1 (2013): 41–49. http://dx.doi.org/10.1016/j.compind.2012.09.008.

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7

Polyvyanyy, Artem, Chun Ouyang, Alistair Barros, and Wil M. P. van der Aalst. "Process querying: Enabling business intelligence through query-based process analytics." Decision Support Systems 100 (August 2017): 41–56. http://dx.doi.org/10.1016/j.dss.2017.04.011.

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8

Merazi, Afaf, and Mimoun Malki. "SQUIREL: Semantic Querying Interlinked OWL-S traveling Process Models." International Journal of Information Technology and Computer Science 7, no. 12 (2015): 30–39. http://dx.doi.org/10.5815/ijitcs.2015.12.04.

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9

P, Ezhumalai, and Ezhilvanji S. "Bandwidth Optimized Resource Allocation Process in Querying Distributed Storage." International Innovative Research Journal of Engineering and Technology 3, no. 3 (2018): 18–21. http://dx.doi.org/10.32595/iirjet.org/v3i3.2018.61.

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10

Cao, Bin, Jiaxing Wang, Jing Fan, Jianwei Yin, and Tianyang Dong. "Querying Similar Process Models Based on the Hungarian Algorithm." IEEE Transactions on Services Computing 10, no. 1 (2017): 121–35. http://dx.doi.org/10.1109/tsc.2016.2597143.

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11

Polyvyanyy, Artem, Anastasiia Pika, and Arthur H. M. ter Hofstede. "Scenario-based process querying for compliance, reuse, and standardization." Information Systems 93 (November 2020): 101563. http://dx.doi.org/10.1016/j.is.2020.101563.

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12

Wang, Zeyu, Yuanchun Shi, Yuntao Wang, et al. "G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 2 (2024): 1–33. http://dx.doi.org/10.1145/3659623.

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Modern information querying systems are progressively incorporating multimodal inputs like vision and audio. However, the integration of gaze --- a modality deeply linked to user intent and increasingly accessible via gaze-tracking wearables --- remains underexplored. This paper introduces a novel gaze-facilitated information querying paradigm, named G-VOILA, which synergizes users' gaze, visual field, and voice-based natural language queries to facilitate a more intuitive querying process. In a user-enactment study involving 21 participants in 3 daily scenarios (p = 21, scene = 3), we reveale
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13

Sharma, Dilip Kumar, and A. K. Sharma. "Deep Web Information Retrieval Process." International Journal of Information Technology and Web Engineering 5, no. 1 (2010): 1–22. http://dx.doi.org/10.4018/jitwe.2010010101.

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Web crawlers specialize in downloading web content and analyzing and indexing from surface web, consisting of interlinked HTML pages. Web crawlers have limitations if the data is behind the query interface. Response depends on the querying party’s context in order to engage in dialogue and negotiate for the information. In this article, the authors discuss deep web searching techniques. A survey of technical literature on deep web searching contributes to the development of a general framework. Existing frameworks and mechanisms of present web crawlers are taxonomically classified into four st
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14

Sheng, Kai, Zhen Li, Zhi Chao Song, and Hong Duan. "Artificial Society-Oriented Large-Scale Road Path Querying Methods." Applied Mechanics and Materials 644-650 (September 2014): 2269–75. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2269.

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In artificial society simulation, each artificial population needs road path planning in the process of travel. However, because of the large amounts of populations in artificial society, road path planning will cost lots computational resources and time, thus this process has terrible efficiency to the performance of the simulation system. In order to solve this problem, this article firstly makes use of CPU to generate the artificial populations, travel logs, and construct the road network models; then computes the shortest road path between each two environments and load the results in RAM
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15

Alhindawi, Nouh Talal, Belal Abu Ata, Lana Mahmoud Obeidat, Mohammad Subhi Al-Batah, and Muad Abu-Ata. "A Topic Modeling Based Approach for Enhancing Corpus Querying." International Journal of Open Source Software and Processes 10, no. 3 (2019): 38–50. http://dx.doi.org/10.4018/ijossp.2019070103.

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In information retrieval, the accuracy of the retrieval process is mainly dependent on query terms selection; therefore, the user must choose the needed terms carefully and selectively. Traditionally, the process of selecting query terms is done manually. However, in the last two decades, a lot of research has been directed towards automating the process of choosing and enhancing query terms. In this article, a new novel approach is presented, which relies on topic modeling in query building and expansion. Two open source systems were selected to perform the experiments, results show that addi
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16

Sougui, Ines Benali, Minyar Sassi Hidri, and Amel Grissa Touzi. "From User Requirements to Querying of Fuzzy Summaries." International Journal of Service Science, Management, Engineering, and Technology 5, no. 1 (2014): 84–102. http://dx.doi.org/10.4018/ijssmet.2014010105.

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With the huge amount and the evolution of fuzzy data, the necessity to work with synthetic views became a challenge for many databases (DB) community researchers. Data summarization techniques are now considered as accurate tools to handle huge DB, in particular when precise data are not needed. Formal approaches have been proposed making possible the generation of an hierarchy of summaries from DB. The challenges arise on the question of how querying these fuzzy views according user requirements. In this work, we propose to handle with these challenges by query repairing and substitution. Two
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17

Li, Tingyu, Bai Liu, and Jun Zhang. "Quantum Privacy Query Protocol Based on GHZ-like States." Applied Sciences 14, no. 2 (2024): 608. http://dx.doi.org/10.3390/app14020608.

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The rapid development of telemedicine technology has brought great convenience to people’s lives. Alongside generating great convenience, protecting patients’ privacy has become increasingly important. Therefore, to solve the above problems, this paper proposes a quantum privacy query protocol based on GHZ-like states. The protocol first utilizes existing diagnostic information for classification to encode symptom attributes. Then, the correlation after measurement using GHZ-like entangled states is utilized so that the querying party can only obtain a key message with the assistance of a thir
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18

Olimjon, Saytiyev, and Ergashev Shokhrukh. "THE ROLE OF INFORMATION COMMUNICATION TECHNOLOGY IN THE PROCESS OF EVALUATING STUDENTS." International Journal of Pedagogics 03, no. 02 (2023): 1–5. http://dx.doi.org/10.37547/ijp/volume03issue02-01.

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The effectiveness of instructional technology depends on appropriate evaluation of the technology, with special focus on outcomes. Because evaluation assesses how effective the technology is in enabling learners to master a particular subject, what students learn becomes an important criterion for evaluation. But how and when to assess learning and comprehension is an important and continuing problem. This article deals with strategic evaluation, which emphasizes technical accuracy, pedagogical soundness, substantive fidelity, integrative flexibility, and cyclic improvement. Effective strategi
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19

Chen, Bo, Huaijie Zhu, Wei Liu, Jian Yin, Wang-Chien Lee, and Jianliang Xu. "Querying Optimal Routes for Group Meetup." Data Science and Engineering 6, no. 2 (2021): 180–91. http://dx.doi.org/10.1007/s41019-021-00153-5.

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AbstractMotivated by location-based social networks which allow people to access location-based services as a group, we study a novel variant of optimal sequenced route (OSR) queries, optimal sequenced route for group meetup (OSR-G) queries. OSR-G query aims to find the optimal meeting POI (point of interest) such that the maximum users’ route distance to the meeting POI is minimized after each user visits a number of POIs of specific categories (e.g., gas stations, restaurants, and shopping malls) in a particular order. To process OSR-G queries, we first propose an OSR-Based (OSRB) algorithm
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20

Lagos, Nikolaos, Adrian Mos, and Jean-Yves Vion-Dury. "Multi-Context Systems for Consistency Validation and Querying of Business Process Models." Procedia Computer Science 112 (2017): 225–34. http://dx.doi.org/10.1016/j.procs.2017.08.101.

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21

Devi, Maharabam Anjali, and Lunghim Rongmei. "Impacts of Sand and Gravel Quarrying on the Stream Channel and Surrounding Environment." Asia Pacific Journal of Energy and Environment 4, no. 1 (2017): 7–12. http://dx.doi.org/10.18034/apjee.v4i1.236.

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The longtime sustainability of river channel in the natural process depends on the gradient, volume of water, sediment supply and deposition in the river. Naturally, rivers maintain balance of river channel in all stage of the cycle of erosion. However, human activity mainly sand and gravel mining frequently disturb the balance that has much impact on the river morphology. The Imphal River between Motbung to Awang Leikinthabi is one of the worse sand and gravel-querying regions in Manipur. Hence, the main aim of this paper is to assess the impacts of querying on riverine landform and surroundi
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22

Kunfang, Song, and Hongwei Lu. "Efficient Querying Distributed Big-XML Data using MapReduce." International Journal of Grid and High Performance Computing 8, no. 3 (2016): 70–79. http://dx.doi.org/10.4018/ijghpc.2016070105.

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MapReduce is a widely adopted computing framework for data-intensive applications running on clusters. This paper proposed an approach to exploit data parallelisms in XML processing using MapReduce in Hadoop. The authors' solution seamlessly integrates data storage, labeling, indexing, and parallel queries to process a massive amount of XML data. Specifically, the authors introduce an SDN labeling algorithm and a distributed hierarchical index using DHTs. More importantly, an advanced two-phase MapReduce solution are designed that is able to efficiently address the issues of labeling, indexing
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23

Bai, Luyi, Nan Li, Lishuang Liu, and Xuesong Hao. "Querying multi-source heterogeneous fuzzy spatiotemporal data." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9843–54. http://dx.doi.org/10.3233/jifs-202357.

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With the rapid development of the environmental, meteorological and marine data management, fuzzy spatiotemporal data has received considerable attention. Even though some achievements in querying aspect have been made, there are still some unsolved problems. Semantic and structural heterogeneity may exist among different data sources, which will lead to incomplete results. In addition, there are ambiguous query intentions and conditions when the user queries the data. This paper proposes a fuzzy spatiotemporal data semantic model. Based on this model, the RDF local semantic models are convert
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24

Fang, Hong. "pSPARQL: A Querying Language for Probabilistic RDF Data." Complexity 2019 (March 26, 2019): 1–7. http://dx.doi.org/10.1155/2019/8258197.

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More and more linked data (taken as knowledge) can be automatically generated from nonstructured data such as text and image via learning, which are often uncertain in practice. On the other hand, most of the existing approaches to processing linked data are mainly designed for certain data. It becomes more and more important to process uncertain linked data in theoretical aspect. In this paper, we present a querying language framework for probabilistic RDF data (an important uncertain linked data), where each triple has a probability, called pSRARQL, built on SPARQL, recommended by W3C as a q
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25

Zhao, Danfeng, Wei Zhao, Le Sun, and Dongmei Huang. "Modeling and Querying Business Data with Artifact Lifecycle." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/506272.

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Business data has been one of the current and future research frontiers, with such big data characteristics as high-volume, high-velocity, high-privacy, and so forth. Most corporations view their business data as a valuable asset and make efforts on the development and optimal utilization on these data. Unfortunately, data management technology at present has been lagging behind the requirements of business big data era. Based on previous business process knowledge, a lifecycle of business data is modeled to achieve consistent description between the data and processes. On this basis, a busine
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26

BRAGA, JOSÉ LUÍS, ALBERTO H. F. LAENDER, and CLAUDINEY VANDER RAMOS. "A KNOWLEDGE-BASED APPROACH TO COOPERATIVE RELATIONAL DATABASE QUERYING." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 01 (2000): 73–90. http://dx.doi.org/10.1142/s0218001400000076.

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We present in this paper an approach to providing cooperativeness in database querying using artificial intelligence techniques. The main focus is a cooperative interface that assists nonexperienced and casual users in extracting useful answers from a relational database. Our approach relies on an architecture that comprises two knowledge bases which store rules that describe the application domain and guide the process of query formulation and answering. A subset of SQL is used for expressing queries, and the cooperative interface relieves the user from knowing its full syntax and the structu
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27

Koutsomitropoulos, Dimitrios A., Georgia D. Solomou, Andreas D. Alexopoulos, and Theodore S. Papatheodorou. "Semantic Metadata Interoperability and Inference-Based Querying in Digital Repositories." Journal of Information Technology Research 2, no. 4 (2009): 36–52. http://dx.doi.org/10.4018/jitr.2009062903.

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Metadata applications have evolved in time into highly structured “islands of information” about digital resources, often bearing a strong semantic interpretation. Scarcely, however, are these semantics being communicated in machine readable and understandable ways. At the same time, the process for transforming the implied metadata knowledge into explicit Semantic Web descriptions can be problematic and is not always evident. In this article we take upon the well-established Dublin Core metadata standard as well as other metadata schemata, which often appear in digital repositories set-ups, a
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28

Meng, Xiangfu, Lin Zhu, Qing Li, and Xiaoyan Zhang. "Spatiotemporal RDF Data Query Based on Subgraph Matching." ISPRS International Journal of Geo-Information 10, no. 12 (2021): 832. http://dx.doi.org/10.3390/ijgi10120832.

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Resource Description Framework (RDF), as a standard metadata description framework proposed by the World Wide Web Consortium (W3C), is suitable for modeling and querying Web data. With the growing importance of RDF data in Web data management, there is an increasing need for modeling and querying RDF data. Previous approaches mainly focus on querying RDF. However, a large amount of RDF data have spatial and temporal features. Therefore, it is important to study spatiotemporal RDF data query approaches. In this paper, firstly, we formally define spatiotemporal RDF data, and construct a spatiote
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29

Vargas-Solar, Genoveva. "Processing the Narrative: Innovative Graph Models and Queries for Textual Content Knowledge Extraction." Electronics 13, no. 18 (2024): 3688. http://dx.doi.org/10.3390/electronics13183688.

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The internet contains vast amounts of text-based information across various domains, such as commercial documents, medical records, scientific research, engineering tests, and events affecting urban and natural environments. Extracting knowledge from these texts requires a deep understanding of natural language nuances and accurately representing content while preserving essential information. This process enables effective knowledge extraction, inference, and discovery. This paper proposes a critical study of state-of-the-art contributions exploring the complexities and emerging trends in rep
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30

Winter, Michael, Tobias Klausmann, and Tobias Kleinert. "Capability knowledge base query to allocate process resources for master recipe formulation." at - Automatisierungstechnik 72, no. 10 (2024): 906–18. http://dx.doi.org/10.1515/auto-2023-0223.

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Abstract We present a method for matching the required capabilities of general recipes with available resources to formulate master recipes. Process elements extracted from BatchML XML files are used to decompose the required capabilities and match them with the capabilities offered by components at distinct levels. A capability OWL ontology with properties aids in querying and matching capabilities with resources, enabling validation via description logic (DL) queries post-inference and integration into the master recipe. DL queries and matching within a knowledge base demonstrate AI-based kn
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31

Medvedev, Danny, Uri Shani, and Dov Dori. "Gaining Insights into Conceptual Models: A Graph-Theoretic Querying Approach." Applied Sciences 11, no. 2 (2021): 765. http://dx.doi.org/10.3390/app11020765.

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Modern complex systems include products and services that comprise many interconnected pieces of integrated hardware and software, which are expected to serve humans interacting with them. As technology advances, expectations of a smooth, flawless system operation grow. Model-based systems engineering, an approach based on conceptual models, copes with this challenge. Models help construct formal system representations, visualize them, understand the design, simulate the system, and discover design flaws early on. Modeling tools can benefit tremendously from querying capabilities that enable g
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32

Pawlak, Tomasz P., and Jędrzej Potoniec. "Process Query Language: A Domain-Specific Language for Querying Event Logs of Business Processes." Foundations of Computing and Decision Sciences 50, no. 2 (2025): 271–317. https://doi.org/10.2478/fcds-2025-0010.

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Abstract Process Mining analyzes event logs from business processes to enhance understanding, verification, and improvement of these processes. Event logs typically originate from multiple sources and require extensive preprocessing before applying process mining techniques. This preprocessing includes filtering, composing, joining events into traces, and fixing or calculating attribute values. Existing process mining tools offer ad-hoc manual actions through graphical interfaces and simple domain-specific languages, but these methods have limitations, and there is no standardized approach for
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33

Borthick, A. Faye, and Mary B. Curtis. "Due Diligence on Fast-Fashion Inventory through Data Querying." Journal of Information Systems 22, no. 1 (2008): 77–93. http://dx.doi.org/10.2308/jis.2008.22.1.77.

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In this simulation of a merger and acquisition due diligence engagement for a fast-fashion retailer's inventory account, learners develop IT audit skills by (1) preparing a business process representation, (2) identifying audit objectives for testing management assertions about inventory, (3) designing audit procedures to implement audit objectives, (4) querying data files to execute audit procedures, and (5) communicating results. The simulation develops skills for analyzing data to verify the internal consistency of accounting records and to detect conditions warranting further investigation
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34

Hudec, Miroslav. "An approach to fuzzy database querying, analysis and realization." Computer Science and Information Systems 6, no. 2 (2009): 127–40. http://dx.doi.org/10.2298/csis0902127h.

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Although the Structured Query Language (SQL) is a very powerful tool, it is unable to satisfy needs for data selection based on linguistic expressions and degrees of truth. The goal of the research whose results are presented in the paper is to capture these expressions and make them suitable for queries. For this purpose the fuzzy generalized logical condition for the WHERE part of SQL was developed. In this way, queries based on linguistic expressions are supported and are accessing relational databases in the same way as with the SQL. Fuzzy query is not only a querying tool; it improves the
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35

Vahabi, Fataneh, and Saeed Asadi. "Discovering User Click Patterns for Querying in Databases." Information Management Sciences and Technologies 6, no. 4 (2019): 137–58. https://doi.org/10.5281/zenodo.14034482.

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**Objective:** The aim of the present study was to utilize individual behavioral feedback in information retrieval. To this end, users with a specific study scope were examined, and some of their searches were analyzed as behavioral samples. **Methodology:** This applied research was conducted using observational methods. The study involved 30 graduate students with a background in information retrieval. Among the 30 participants, 15 were women and 15 were men, aged between 29 and 35. All search processes conducted by each participant were recorded using screen capture software. The research e
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36

Tang, Yan, Weilong Cui, and Jianwen Su. "A Query Language for Workflow Logs." ACM Transactions on Management Information Systems 13, no. 2 (2022): 1–28. http://dx.doi.org/10.1145/3482968.

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A business process (workflow) is an assembly of tasks to accomplish a business goal. Real-world workflow models often demanded to change due to new laws and policies, changes in the environment, and so on. To understand the inner workings of a business process to facilitate changes, workflow logs have the potential to enable inspecting, monitoring, diagnosing, analyzing, and improving the design of a complex workflow. Querying workflow logs, however, is still mostly an ad hoc practice by workflow managers. In this article, we focus on the problem of querying workflow log concerning both contro
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37

Wen, Wanzhi, Bin Zhang, Yitao Hu, Xingyu Zhu, and Zelin Wang. "An API Recommendation Method for Querying Mobile Computing Problems." International Journal of Cognitive Informatics and Natural Intelligence 18, no. 1 (2024): 1–16. http://dx.doi.org/10.4018/ijcini.344422.

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Nowadays mobile computing has penetrated into our lives and work. Major companies have invested a lot of material and financial resources in the development of mobile terminals. For developers, querying the right API is extremely important. However, finding the right APIs can be time-consuming and laborious. In this paper, to solve the problems developers may face in the actual development process and improve the development efficiency, we propose RAMC (Recommendation APIs for Mobile Computing), an API recommendation approach leveraging word embedding technique and the information crawling fro
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38

Baker, Andy Lee. "Querying candidates via social media during the recruitment process of employees in hospitality businesses." International Journal of Social Sciences and Education Research 11, no. 1 (2025): 36–44. https://doi.org/10.24289/ijsser.1654194.

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Integrating social media in the recruitment process has transformed hiring practices in the hospitality industry. Given the sector’s high employee turnover rates and emphasis on customer service, hospitality businesses increasingly leverage platforms such as LinkedIn, Facebook, and Instagram to assess candidates beyond traditional applications. Social media allows recruiters to evaluate candidates’ professional background, communication skills, and cultural fit while also providing access to passive job seekers. However, ethical and legal concerns regarding privacy, bias, and discrimination re
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39

Ali, Dilawar, Thibault Blyau, Nico Van de Weghe, and Steven Verstockt. "Context-Aware Querying, Geolocalization, and Rephotography of Historical Newspaper Images." Applied Sciences 12, no. 21 (2022): 11063. http://dx.doi.org/10.3390/app122111063.

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Newspapers contain a wealth of historical information in the form of articles and illustrations. Libraries and cultural heritage institutions have been digitizing their collections for decades to enable web-based access to and retrieval of information. A number of challenges arise when dealing with digitized collections, such as those of KBR, the Royal Library of Brussels (used in this study), which contain only page-level metadata, making it difficult to extract information from specific contexts. A context-aware search relies heavily on metadata enhancement. Therefore, when using metadata at
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40

Shen, Zhihong, Chuan Hu, and Zihao Zhao. "Lynx: A Graph Query Framework for Multiple Heterogeneous Data Sources." Proceedings of the VLDB Endowment 16, no. 12 (2023): 3926–29. http://dx.doi.org/10.14778/3611540.3611587.

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Graph model are increasingly popular among modern applications for its ability to model complex relationships between entities. Users tend to query the data as a graph with graph operations (e.g., graph navigation and exploration). However, a large fraction of the data resides in relational databases or other storage systems. Challenges arise in uniformly querying multiple heterogeneous data sources as a graph. Traditional solutions are limited by time-consuming data integration, expensive development effort, and incomplete query requirements. Thus, we developed Lynx, a general graph query fra
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41

Ponchateau, Cyrille, Ladjel Bellatreche, Carlos Ordonez, and Mickael Baron. "A Mathematical Database to Process Time Series." International Journal of Data Warehousing and Mining 14, no. 3 (2018): 1–21. http://dx.doi.org/10.4018/ijdwm.2018070101.

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In scientific research, the results of an experiment commonly take the form of a time series, in which such time series consists of measurements collected from a sensor over time. After time series are stored, mathematical models are derived using numerical methods. Even though there exist plenty of tools to store and analyze time series data, there is scarce research aimed at storing and querying derived models, which are the most important mechanism for a scientist to understand data. In this article, the authors propose to help scientists with a flexible database structure to persist and ma
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42

Alarabi, Louai, Saleh Basalamah, Abdeltawab Hendawi, and Mohammed Abdalla. "TraceAll: A Real-Time Processing for Contact Tracing Using Indoor Trajectories." Information 12, no. 5 (2021): 202. http://dx.doi.org/10.3390/info12050202.

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The rapid spread of infectious diseases is a major public health problem. Recent developments in fighting these diseases have heightened the need for a contact tracing process. Contact tracing can be considered an ideal method for controlling the transmission of infectious diseases. The result of the contact tracing process is performing diagnostic tests, treating for suspected cases or self-isolation, and then treating for infected persons; this eventually results in limiting the spread of diseases. This paper proposes a technique named TraceAll that traces all contacts exposed to the infecte
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Ravi, Shankar Koppula. "Performance Optimization with Spark and Delta Lake." European Journal of Advances in Engineering and Technology 8, no. 4 (2021): 48–53. https://doi.org/10.5281/zenodo.11213903.

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Apache Spark and Delta Lake have become essential tools for professionals in the field of data engineering and data science who are seeking to process and manage vast amounts of data. By optimizing the performance of these tools, it is possible to greatly improve the speed and efficiency of data processing tasks. In this paper, we will explore various techniques for optimizing performance in these technologies. Key strategies include minimizing the creation and impact of small files, utilizing data skipping and Z-Ordering for efficient data querying, employing clustering for ingest time data,
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44

Liu, H., P. Van Oosterom, B. Mao, M. Meijers, and R. Thompson. "AN EFFICIENT ND-POINT DATA STRUCTURE FOR QUERYING FLOOD RISK." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 367–74. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-367-2021.

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Abstract. Governments use flood maps for city planning and disaster management to protect people and assets. Flood risk mapping projects carried out for these purposes generate a huge amount of modelling results. Previously, data submitted are highly condensed products such as typical flood inundation maps and tables for loss analysis. Original modelling results recording critical flood evolution processes are overlooked due to cumbersome management and analysis. This certainly has drawbacks: the ‘static’ maps impart few details about the flood; also, the data fails to address new requirements
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45

FREITAS, ANDRÉ, EDWARD CURRY, JOÃO GABRIEL OLIVEIRA, and SEÁN O'RIAIN. "A DISTRIBUTIONAL STRUCTURED SEMANTIC SPACE FOR QUERYING RDF GRAPH DATA." International Journal of Semantic Computing 05, no. 04 (2011): 433–62. http://dx.doi.org/10.1142/s1793351x1100133x.

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The vision of creating a Linked Data Web brings together the challenge of allowing queries across highly heterogeneous and distributed datasets. In order to query Linked Data on the Web today, end users need to be aware of which datasets potentially contain the data and also which data model describes these datasets. The process of allowing users to expressively query relationships in RDF while abstracting them from the underlying data model represents a fundamental problem for Web-scale Linked Data consumption. This article introduces a distributional structured semantic space which enables d
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46

Cao, Shu Kun, Li Song, Zhi Ming Sui, Chang Zhong Wu, and Jia Jia. "Algorithm Research and System Development on Free-Form Surface CNC Processing Parameters Automatically Determination/Equipment Selection/Process Management." Advanced Materials Research 181-182 (January 2011): 943–48. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.943.

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In view of the randomness of determining free-form surface machining processing program and the complexity and the unpredictable nature of process, in this paper we proposed automatically determination of free-form surface CNC processing technical parameters, research on processing equipment selection algorithm and system development. The method, firstly determine process parameters on the base of the free-form surface characteristics and the precision requirements, or by calculation methods, or by querying the process repository, and secondly, query the existing equipment and their working st
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47

Iakovou, Georgios, Steven Hayward, and Stephen Laycock. "A real-time proximity querying algorithm for haptic-based molecular docking." Faraday Discuss. 169 (2014): 359–77. http://dx.doi.org/10.1039/c3fd00123g.

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Intermolecular binding underlies every metabolic and regulatory processes of the cell, and the therapeutic and pharmacological properties of drugs. Molecular docking systems model and simulate these interactions in silico and allow us to study the binding process. Haptic-based docking provides an immersive virtual docking environment where the user can interact with and guide the molecules to their binding pose. Moreover, it allows human perception, intuition and knowledge to assist and accelerate the docking process, and reduces incorrect binding poses. Crucial for interactive docking is the
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48

Ondo, AnicetLepetit, Laurence Capus, and Mamadou Bousso. "Enhancing SPARQL Query Rewriting for Complex Ontology Alignments." International journal of Web & Semantic Technology 16, no. 2 (2025): 01–17. https://doi.org/10.5121/ijwest.2025.16201.

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SPARQL query rewriting is a fundamental mechanism for uniformly querying heterogeneous ontologies in the Linked Data Web. However, the complexity of ontology alignments, particularly rich correspondences (c : c), makes this process challenging. Existing approaches primarily focus on simple (s : s) and partially complex (s : c) alignments, thereby overlooking the challenges posed by more expressive alignments. Moreover, the intricate syntax of SPARQL presents a barrier for non-expert users seeking to fully exploit the knowledge encapsulated in ontologies.This article proposes an innovative appr
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49

Borthick, A. Faye, Paul L. Bowen, and Gregory J. Gerard. "Modeling a Business Process and Querying the Resulting Database: Analyzing RFID Data to Develop Business Intelligence." Journal of Information Systems 22, no. 2 (2008): 331–50. http://dx.doi.org/10.2308/jis.2008.22.2.331.

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ABSTRACT: This case supports the high-level objective of learning to model business situations to design databases and query them to solve business problems. Students analyze Radio Frequency Identification (RFID) and related fulfillment data to develop business intelligence for a grower of bedding plants selling to big-box retailers. Students prepare a business process diagram to understand the business process; identify objectives for detecting and correcting data errors and analyzing business performance; construct a Resource, Event, Agent (REA) diagram to specify a database design; implemen
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50

Vera-Baquero, Alejandro, Ricardo Colomo-Palacios, and Owen Molloy. "Measuring and Querying Process Performance in Supply Chains: An Approach for Mining Big-Data Cloud Storages." Procedia Computer Science 64 (2015): 1026–34. http://dx.doi.org/10.1016/j.procs.2015.08.623.

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