Publication:
Experiment with Text Summarization as a Positive Hierarchical Fuzzy Logic Ranking Indicator for Domain Specific Retrieval of Malay Translated Hadith

Simple item page
dc.ConferencecodeIEEE, IEEE Malaysia Ind Elect & Ind Applicat Soc Joint Chapter
dc.ConferencedateAPR 27-28, 2019
dc.ConferencelocationKota Kinabalu, MALAYSIA
dc.Conferencename9th IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE)
dc.contributor.authorbin Rodzman, SBen_US
dc.contributor.authorIsmail, NKen_US
dc.contributor.authorRahman, NAen_US
dc.contributor.authorAljunid, SAen_US
dc.contributor.authorRahman, HAen_US
dc.contributor.authorNor, ZMen_US
dc.contributor.authorKhalif, KMNKen_US
dc.contributor.authorNoor, AYMen_US
dc.date.accessioned2024-05-29T02:57:01Z
dc.date.available2024-05-29T02:57:01Z
dc.date.issued2019
dc.description.abstractRanking function acts as a predictive algorithm that is used to establish a simple ordering of documents according to its relevance and this process shows the effectiveness, quality and the accuracy for the variety type of Information Retrieval (IR) such as, Domain Specific Retrieval of Malay Translated Hadith. In this research, a Hierarchical Fuzzy Logic Controller of Mamdani-type Fuzzy Inference System has been built to define the ranking function based on the BM25 Model. The model examines four-inputs which are Ontology BM25 Score, Fabrication Rate of Hadith, Shia Rate of Hadith from the previous works of the researchers and the New additional Positive Rate of Hadith. It also examines four-output values of Final Ranking Score which consist of three triangular membership functions. The new Positive Rate of hadith is based on the score value of the automatic text summarization that was executed in pre-processing phase. The proposed system has outperformed the BM25 original score and the Vector Space Model (VM) on 5 topic of queries and 26 queries in the term of individual queries, while the BM25 original score and Vector Space Model only yielded better result in 3 and 0 queries respectively on the P@10, %no measures and MAP. P@10 represent the values of Precision at Rank 10 P@10), %no measures represent the percentage of queries with no relevant documents in the top ten retrieved and MAP represents Mean Average Precision of the queries. The results show the proposed system have capability to demote negative documents and move up the relevant documents in the ranking list with positive indicator and its capability to recall unseen document with the application of ontology in text retrieval. For the future works, the researcher would like to apply the usage of new ranking indicator such as reliability score from the expert and the lay users of the Domain Specific Retrieval of Malay Translated Hadith.
dc.identifier.epage304
dc.identifier.scopusWOS:000482564200055
dc.identifier.spage299
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11616
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEEen_US
dc.relation.ispartof2019 IEEE 9th Symposium On Computer Applications & Industrial Electronics (ISCAIE)
dc.sourceWeb Of Science (ISI)
dc.subjectFuzzy Logicen_US
dc.subjectMalay Text Corpusen_US
dc.subjectMalay Translated Hadithen_US
dc.subjectFabricated Hadithen_US
dc.subjectShia Hadithen_US
dc.subjectfuzzy seten_US
dc.subjectfuzzy ruleen_US
dc.subjectVector Space modelen_US
dc.subjectProbabilistic modelen_US
dc.subjectBM25 modelen_US
dc.subjectranking functionen_US
dc.subjectnegative ranking indicatoren_US
dc.subjectpositive ranking indicatoren_US
dc.titleExperiment with Text Summarization as a Positive Hierarchical Fuzzy Logic Ranking Indicator for Domain Specific Retrieval of Malay Translated Hadith
dc.typeProceedings Paperen_US
dspace.entity.typePublication

Files

Collections

Web of Science_WoS