A hybrid semantic query expansion approach for Arabic information retrieval

In fact, most of information retrieval systems retrieve documents based on keywords matching, which are certainly fail at retrieving documents that have similar meaning with syntactical different keywords (form). One of the well-known approaches to overcome this limitation is query expansion (QE). T...

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Veröffentlicht in:	Journal of big data Jg. 7; H. 1; S. 1 - 19
Hauptverfasser:	ALMarwi, Hiba, Ghurab, Mossa, Al-Baltah, Ibrahim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 29.06.2020 Springer Nature B.V SpringerOpen
Schlagworte:	Accuracy Advanced Soft Computing Methodologies and Applications in Social Media Big Data Analytics Arabic language Big Data Communications Engineering Computational Science and Engineering Computer Science Data mining Data Mining and Knowledge Discovery Database Management Dependency Function words Information retrieval Information Storage and Retrieval Keywords Knowledge base Knowledge bases (artificial intelligence) Mathematical Applications in Computer Science Meaning Networks Optimization Particle swarm optimization Prototypes Queries Query expansion Researchers Retrieval Semantics Syntactic processing Term frequency Weighting Weighting methods Word embeddings Word meaning WordNet Query expansion Information retrieval Particle swarm optimization Term frequency Word embeddings WordNet
ISSN:	2196-1115, 2196-1115
Online-Zugang:	Volltext
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