Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds
A Master of Science Thesis in Engineering Systems Management submitted by Heba Mahmoud Ismail entitled, "Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds," January 2011. Available are both soft and hard copies of the thesis.
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | doctoralThesis |
| منشور في: |
2011
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/146 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513442459680768 |
|---|---|
| author | Ismail, Heba Mahmoud |
| author_facet | Ismail, Heba Mahmoud |
| author_role | author |
| dc.contributor.none.fl_str_mv | Zualkernan, Imran |
| dc.creator.none.fl_str_mv | Ismail, Heba Mahmoud |
| dc.date.none.fl_str_mv | 2011-03-10T12:43:45Z 2011-03-10T12:43:45Z 2011-01 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2011.04 http://hdl.handle.net/11073/146 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Engineering mathematics RSS feeds Semantic networks (Information theory) Information storage and retrieval systems Mathematical models Fuzzy sets Concept mapping |
| dc.title.none.fl_str_mv | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science Thesis in Engineering Systems Management submitted by Heba Mahmoud Ismail entitled, "Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds," January 2011. Available are both soft and hard copies of the thesis. |
| format | doctoralThesis |
| id | aus_a9a6cd5e86d4c9b9705f324a6819591e |
| identifier_str_mv | 35.232-2011.04 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/146 |
| publishDate | 2011 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS FeedsIsmail, Heba MahmoudEngineering mathematicsRSS feedsSemantic networks (Information theory)Information storage and retrieval systemsMathematical modelsFuzzy setsConcept mappingA Master of Science Thesis in Engineering Systems Management submitted by Heba Mahmoud Ismail entitled, "Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds," January 2011. Available are both soft and hard copies of the thesis.Knowledge has always been at the heart of work and action of people. The amount of knowledge is growing and types of knowledge are becoming more diverse. Effective knowledge management may require going beyond basic knowledge capture. Recent work has focused on enhancing knowledge capturing and codification on the web as it is becoming the dominant source of knowledge. Semantic web and Web 2.0 have opened additional opportunities for knowledge management with technologies and tools such as topic maps and concept maps. However, using such technologies imposed many challenges because of the knowledge codification and generation tools such as blogs, wikis, forums, really simple syndicate (RSS), social tagging and others. This research provides a novel method for instantly updating web users with pieces of knowledge tailored to their personal knowledge interests from RSS feeds by combining fuzzy set information retrieval model with the semantics and structure of concept maps. Experiments show that the proposed method can achieve precision levels ranging between 80% and 100%. In addition, the method is robust and has a higher level of agreement with expert judges than the agreement within judges.College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM)Zualkernan, Imran2011-03-10T12:43:45Z2011-03-10T12:43:45Z2011-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2011.04http://hdl.handle.net/11073/146en_USoai:repository.aus.edu:11073/1462025-06-26T12:27:57Z |
| spellingShingle | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds Ismail, Heba Mahmoud Engineering mathematics RSS feeds Semantic networks (Information theory) Information storage and retrieval systems Mathematical models Fuzzy sets Concept mapping |
| status_str | publishedVersion |
| title | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds |
| title_full | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds |
| title_fullStr | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds |
| title_full_unstemmed | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds |
| title_short | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds |
| title_sort | Using Concept Maps and Fuzzy Set Information Retrieval Model to Dynamically Personalize RSS Feeds |
| topic | Engineering mathematics RSS feeds Semantic networks (Information theory) Information storage and retrieval systems Mathematical models Fuzzy sets Concept mapping |
| url | http://hdl.handle.net/11073/146 |