Understanding the Search Interfaces of the Deep Web Based on Domain Model

Author(s):  
XiaoJie Yuan ◽  
HuiBin Zhang ◽  
ZongYun Yang ◽  
YanLong Wen
Keyword(s):  
Deep Web ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Afrizal Adam Maulana ◽  
Wijanarto Wijanarto

Kemajuan teknologi dan fasilitas infrastruktur saat ini seringkali mengakibatkan seseorang sulit untuk mengingat semua jalan menuju ke tempat tertentu. Lebih dari 75% sebagian orang menghabiskan waktu dalam ruangan. Ketika mereka pergi ke tempat didalam bangunan dengan dimensi dan ukuran yang berbeda-beda, seperti, bangunan bertingkat, pusat perdagangan, pusat perbelanjaan, bandara, rumah sakit dan universitas, seringkali mereka bingung untuk menuju tempat yang diinginkan dalam waktu cepat dan tepat berdasarkan informasi yang terbatas. Pertanyaan yang akan dijawab dalam paper ini, bagiamana menganalisa prinsip dasar navigasi dan mendefinisikan instruksi dalam suatu domain model. Kemudian menentukan algoritma untuk menghasilkan rute terpendek. Terakhir mengimplementasikan algoritma dalam suatu aplikasi berbasis web dengan javascript. Solusinya adalah membuat model navigasi dengan unified modeling language peta digital, algoritma A-start dipilih sebagai solusi dalam menentukan rute untuk navigasi dalam peta serta membangun dan mengevaluasi aplikasi dengan javascript dan jasmine unit test. Hasil dari penelitian menunjukan bahwa model yang dipilih tepat untuk dapat diimplementasikan menjadi aplikasi berbasis web dan lolos evaluasi dengan 75 test case sebesar 100%, semua fungsionalitas aplikasi berjalan sesuai disain dan menghasilkan aplikasi tanpa anomaly.Kata Kunci — Navigasi, Indoor, Rute Terpendek, A-Star.Advances in technology and infrastructure facilities today often make it difficult for people to remember all the way to a particular place. More than 75% of people spend time indoors. When they go to places in buildings of different dimensions and sizes, such as, multilevel buildings, commercial centers, shopping centers, airports, hospitals and universities, they are often confused to get to the desired place in quick and precise time based on information limited. Questions to be answered in this paper, how to analyze the basic principles of navigation and define instruction in a domain model. Then determine the algorithm to generate the shortest route. Last implemented algorithm in a web based application with javascript. The solution is to create a navigation model with a unified modeling language digital map, A-start algorithm selected as a solution in determining the route for navigation in the map as well as build and evaluate applications with javascript and jasmine unit tests. The results of the research show that the chosen model is appropriate to be implemented into web-based applications and pass the evaluation with 75 test cases of 100%, all application functionality runs according to design and produces application without anomaly.Keywords— Navigation, Indoor, Shortest Route, A-Star.


Author(s):  
Amel Yessad ◽  
Catherine Faron-Zucker ◽  
Peter Sander ◽  
Med Tayeb Laskri

Adaptive learning support for learners becomes very important in the context of increasing re-use of resources from heterogeneous and distributed learning repositories. This chapter presents OrPAF, an Adaptive Educational Hypermedia (AEHS) and web-based System which integrates semantic web models and technologies in order to achieve interoperability with e-learning systems. The key feature of OrPAF is the construction of adaptive hypermedia courses: both the course structure and the course content are dynamically generated and adapted to learners. On the one hand, a learning ontology is proposed to describe, at a meta-level, abstract characteristics of an e-learning system. This learning ontology is instantiated to construct learning models: domain model, learner model and pedagogical model. On the other hand, semantic annotations and a semantic relevance measure are proposed to improve the LOM metadata associated to learning resources in order to reuse and share them. The authors tested the prototype on learners in order to evaluate the usability of OrPAF and to determine the conceptual capabilities developed by learners who used it.


2016 ◽  
Vol 08 (02) ◽  
pp. 171-183
Author(s):  
David Kuria ◽  
Moses Ngigi ◽  
Caroline Gikwa ◽  
Charles Mundia ◽  
Mary Macharia

2021 ◽  
Vol 229 (4) ◽  
pp. 198-213
Author(s):  
Ulf-Dietrich Reips

Abstract. The present article reviews web-based research in psychology. It captures principles, learnings, and trends in several types of web-based research that show similar developments related to web technology and its major shifts (e.g., appearance of search engines, browser wars, deep web, commercialization, web services, HTML5…) as well as distinct challenges. The types of web-based research discussed are web surveys and questionnaire research, web-based tests, web experiments, Mobile Experience Sampling, and non-reactive web research, including big data. A number of web-based methods are presented and discussed that turned out to become important in research methodology. These are one-item-one-screen design, seriousness check, instruction manipulation and other attention checks, multiple site entry technique, subsampling technique, warm-up technique, and web-based measurement. Pitfalls and best practices are described then, especially regarding dropout and other non-response, recruitment of participants, and interaction between technology and psychological factors. The review concludes with a discussion of important concepts that have developed over 25 years and an outlook on future developments in web-based research.


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