Metadata Driven Semantically Aware Medical Query Expansion

Ojha, Rituraj; Deepak, Gerard

doi:10.1007/978-3-030-91305-2_17

Cited by 24 publications

(2 citation statements)

References 17 publications

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“…Some of the more prominent methods are listed below. Ojha & Deepak [6] proposed the development of a medical query expansion approach based on metadata. For each query term, new topics are generated using Latent Semantic Indexing, which accepts a query as input and expands it.…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved Semantic Query Expansion Approach Using Incremental User Tag Profile for Efficient Information Retrieval

Raza,

Ali,

Pasha

et al. 2022

VFAST trans. softw. eng.

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The World Wide Web (WWW) comprises a wide range of information, and it is mainly operated on the principles of keyword matching which often reduces accurate information retrieval. The Keyword matching mechanism faces word mismatch problems while retrieving relevant information. Furthermore, the inherent ambiguity of short keyword queries demands enhanced methods for Web retrieval. Ontological-based query expansion is one of the primary methods for Web retrieval, and it handles the vocabulary mismatch problem by computing semantics from the ontology knowledgebase. However, the retrieval of information relevant to user interests is a major challenge. In this paper, we seek to improve retrieval performance by leveraging user preferences and ontology semantics in the process of query expansion. The expansion words are added to the user query using WordNet lexicon and domain ontology. Additionally, the search intent of the user is also added as expansion words by exploiting a tag-based user profile. When it comes to obtaining relevant documents, the proposed framework outperforms the keyword-based approach by achieving a 76% F1-score. This noticeable improvement accurately reflects the importance of including user intents in the process of semantic query expansion.

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Section: Literature Reviewmentioning

confidence: 99%

An Improved Semantic Query Expansion Approach Using Incremental User Tag Profile for Efficient Information Retrieval

Raza,

Ali,

Pasha

et al. 2022

VFAST trans. softw. eng.

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“…The main aim of the proposed study is to assess the relationship between blockchain technology and sustainability through a descriptive literature review employing the latent semantic analysis (LSA) topic modeling and clustering approach, which is a social spider optimization method (SSO). There are two published articles that employ the aforementioned methodologies [6], [7]. This research investigates the effects of blockchain technologies on the sustainability area.…”

Section: Introductionmentioning

confidence: 99%

An analysis of the integration of sustainability concepts into blockchain technology

Eligüzel

2023

ijamec

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The acceleration of data production and consumption due to the transition to an information society and industrial revolutions has had a significant impact on the expansion of the global economy. The emergence of Industry 4.0 has led to the adoption of various technologies, including blockchain, which is known for its potential to transform different domains through its solutions. This is particularly relevant in the context of data governance. Thus, blockchain technology has the potential to enhance the sustainability of diverse industries. Sustainability is a crucial concept that refers to the capacity to meet the requirements of the current generation without compromising the ability of future generations to do so. The integration of blockchain technology across diverse industries holds the potential to greatly improve sustainability efforts. The objective of this study is to assess the relationship between blockchain technology and sustainability through a descriptive review of literature utilizing the latent semantic analysis topic modeling and clustering method, which is a social spider optimization technique. This study focuses on analyzing the impact of blockchain technologies on the sustainability sector. A corpus of 1069 papers has been sourced from the Scopus database. The results underscore the significance of cybersecurity, supply chain management, and the circular economy in the extant academic literature. The broad recognition of the supply chain domain's importance is evident in its application of blockchain technology and adherence to the sustainability principle. The present research focuses on the analysis and assessment of topics pertaining to traceability, cyber security, circular economy, energy, and transparency.

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OntoRecipe: An Ontology Focussed Semantic Strategy for Recipe Recommendation

Singh

Deepak

2022

Lecture Notes in Networks and Systems

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Metadata Driven Semantically Aware Medical Query Expansion

Cited by 24 publications

References 17 publications

An Improved Semantic Query Expansion Approach Using Incremental User Tag Profile for Efficient Information Retrieval

An Improved Semantic Query Expansion Approach Using Incremental User Tag Profile for Efficient Information Retrieval

An analysis of the integration of sustainability concepts into blockchain technology

OntoRecipe: An Ontology Focussed Semantic Strategy for Recipe Recommendation

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