A semantic model of morphological information retrieval: A comparative accumulative analysis

Tawfeeq, Nabeel Zuhair; Abed, Wisam Saeed; Ghazal, Omar

doi:10.1109/aicis51645.2020.00011

Cited by 2 publications

(2 citation statements)

References 19 publications

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“… Information resource knowledge reflects a user's knowledge of locating outline databases or web resources or search system that can be useful for resolving an information problem [21][22][23][24][25][26][27][28].…”

Section: Information Retrieval Methodologymentioning

confidence: 99%

Integrative Information Retrieval with a Consumer Strategy Approach

Sridevi¹,

Prakasha²

2021

Atlantis Highlights in Computer Sciences

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In this study, Information Retrieval has become an integral part of our life. We require these technologies to make our digital life comfortable in this fast running technology era. We have tried to describe a consumer methodology to coordinating information retrieval, wherein the emphasis is placed on the consumer's behaviours rather than the subsystem. This process explains the novel methodologies in the field of Information Retrieval, this methodology has been more efficient over the old ways which seems to lack in few aspects. This strategy entails using transcription and effective interactions to facilitate information exchange between consumers mostly during information retrieval process. We built an ecosystem for consumers to reciprocate their understanding both sequentially and interdependently during in the description and validation of information asymmetry, the selection of an information technology being used for research, the composition and reinterpretation of quests to communicate their responses suggest related to information system selected; and the formulation and reinterpretation of quests to convey their signs indicate based on the data which is chosen. and during the evaluation of information relevancy to the resolution of their information problem. Here have presented a novel approach in detail in multiple sections ahead in this paper.

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Section: Information Retrieval Methodologymentioning

confidence: 99%

Integrative Information Retrieval with a Consumer Strategy Approach

Sridevi¹,

Prakasha²

2021

Atlantis Highlights in Computer Sciences

View full text Add to dashboard Cite

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“…The co-occurrence of words is detected using this technique. The trust of terms is a vector space with an interaction norm [25]. Trust defines the current angle between the word vectors.…”

Section: Figure 5 An Example Of a Hyper Graph Representation For The Query International Art Crimementioning

confidence: 99%

A Study of Prototyping in Information Retrieval Process Utilizing Context Requirements and Feature Sample Sizes

Sridevi¹,

Prakasha²

2021

Atlantis Highlights in Computer Sciences

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Information retrieval can provide organizations with immediate value, Information retrieval has become a core of the current information managing systems, this has given profound importance on how we gather effective information in a huge pile of data. Information retrieval is a highly debated issue in a variety of fields. Today right from digital library to media searching information retrieval has taken up the place in the industry. Effective simulation is the foundation of effective information retrieval. These frameworks were divided into two groups based on their statistical estimation methods: models where the terminology dependency is being checked and also the models where the weighting features of the terms are being taken into consideration. Most models found an understanding term freedom, whereas others take this relationship into account. Term weighting, but in the other end, is a technique for effectively indexing a text. The intention of this research article is to compare and contrast various information retrieval structures that use term dependence/independence and term weighting.

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A semantic model of morphological information retrieval: A comparative accumulative analysis

Cited by 2 publications

References 19 publications

Integrative Information Retrieval with a Consumer Strategy Approach

Integrative Information Retrieval with a Consumer Strategy Approach

A Study of Prototyping in Information Retrieval Process Utilizing Context Requirements and Feature Sample Sizes

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