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A Proposed Method to Recognize the Research Trends using Web-based Search Engines

Published: 24 September 2015 Publication History

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Abstract

This paper presents a novel approach to recognize research trends in a particular domain of research (i.e. Agent development) that is based on the number of data extracted from search engines. Several well-known mathematical and statistical theories have been used, from which a mathematical model has been derived to predict the agent development. The proposed solution attempts to convert the raw resulted number of documents found on the Internet (in PDF format) into useful information, and fit a curve representing the number of searched data of every year. A prototype has been designed, to search multi-keywords at the same time and collect the required data automatically to eliminate the useless data, before converting it into usable data.

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Published In

cover image ACM Other conferences
ICEMIS '15: Proceedings of the The International Conference on Engineering & MIS 2015
September 2015
429 pages
ISBN:9781450334181
DOI:10.1145/2832987
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • The Isra University
  • University of Aizu: University of Aizu
  • IBM: IBM

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2015

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Author Tags

  1. Agent systems
  2. Information Extraction
  3. Search Engines
  4. Software Engineering

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  • Research-article
  • Research
  • Refereed limited

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ICEMIS '15

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Overall Acceptance Rate 215 of 605 submissions, 36%

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Cited By

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  • (2022)Human Emotion: A Survey focusing on Languages, Ontologies, Datasets, and SystemsSN Computer Science10.1007/s42979-022-01116-x3:4Online publication date: 10-May-2022
  • (2021)Jordanian Higher Basic Stage Students’ uses of the Social Networking Site (Facebook) as a Mediator Assistant in Their LearningThe 7th International Conference on Engineering & MIS 202110.1145/3492547.3492574(1-5)Online publication date: 11-Oct-2021
  • (2021)Enhancing the Quality of the Arabic Content for Nursing on InternetThe 7th International Conference on Engineering & MIS 202110.1145/3492547.3492573(1-4)Online publication date: 11-Oct-2021
  • (2021)Acceptance of Blended learning Approach for Arab and European UniversitiesThe 7th International Conference on Engineering & MIS 202110.1145/3492547.3492572(1-4)Online publication date: 11-Oct-2021
  • (2021)Online Learning during the COVID-19 Pandemic: Issues and Challenges2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA10.1109/MI-STA52233.2021.9464505(902-907)Online publication date: 25-May-2021
  • (2019)A generalized research study on distance measures, learning algorithms and datasetsProceedings of the 5th International Conference on Engineering and MIS10.1145/3330431.3330466(1-7)Online publication date: 6-Jun-2019
  • (2019)A novel approach for unsupervised learning of transaction dataProceedings of the 5th International Conference on Engineering and MIS10.1145/3330431.3330464(1-5)Online publication date: 6-Jun-2019
  • (2019)A recent survey on challenges in security and privacy in internet of thingsProceedings of the 5th International Conference on Engineering and MIS10.1145/3330431.3330457(1-9)Online publication date: 6-Jun-2019
  • (2019)An efficient hybrid similarity measure based on user interests for recommender systemsExpert Systems10.1111/exsy.1247137:5Online publication date: 29-Aug-2019
  • (2019)Special issue on the current trends in E-learning AssessmentJournal of Computing in Higher Education10.1007/s12528-019-09235-w32:1(1-8)Online publication date: 12-Aug-2019
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