{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:04:22Z","timestamp":1754157862717,"version":"3.41.2"},"reference-count":30,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2012,11,23]],"date-time":"2012-11-23T00:00:00Z","timestamp":1353628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,11,23]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>Presently, searching the internet for learning material relevant to ones own interest continues to be a time\u2010consuming task. Systems that can suggest learning material (learning objects) to a learner would reduce time spent searching for material, and enable the learner to spend more time for actual learning. The purpose of this paper is to present a system of \u201chybrid search and delivery of learning objects to learners\u201d.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>This paper presents a system of \u201chybrid search and delivery of learning objects to learners\u201d that combines the use of WordNet for semantic query expansion and an approach to personalized learning object delivery by suggesting relevant learning objects based on attributes specified in the learner's profile. The learning objects are related to the learner's attributes using the IEEE LOM and IMS LIP standards. The system includes a web crawler to collect learning objects from existing learning object repositories, such as NEEDS or SMETE.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The presented HSDLO system has the ability to accurately search and deliver learning objects of interest to a learner as well as adjust the learner's profile over time by evaluating the learner's preferences implicitly through the learning object selections.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Since real LOM's from SMETE are not much populated, the system is tested with a limited set of attributes. The system is evaluated using a test bench rather than real learners.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The paper proposes a combination of three search techniques in one system as well an architectural solution which can be used for other types of online search engines.<\/jats:p><\/jats:sec>","DOI":"10.1108\/17415651211284048","type":"journal-article","created":{"date-parts":[[2012,11,22]],"date-time":"2012-11-22T05:18:23Z","timestamp":1353561503000},"page":"263-279","source":"Crossref","is-referenced-by-count":4,"title":["A rule\u2010based system for hybrid search and delivery of learning objects to learners"],"prefix":"10.1108","volume":"9","author":[{"given":"Yevgen","family":"Biletskiy","sequence":"first","affiliation":[]},{"given":"Hamidreza","family":"Baghi","sequence":"additional","affiliation":[]},{"given":"Jarrett","family":"Steele","sequence":"additional","affiliation":[]},{"given":"Ruslan","family":"Vovk","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"unstructured":"Aroyo, L., Dolog, P., Houben, G.J., Kravcik, M., Naeve, A., Nilsson, M. and Wild, F. 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