scholarly journals Review on Information Retrieval for Desktop Search Engine

2020 ◽  
Vol 3 (1) ◽  
pp. 19-25
Author(s):  
Akshat Divya Akshay ◽  
Jammula Nikhil ◽  
Arindam Chowdhury ◽  
S.A. Karthik
Keyword(s):  
Information Retrieval ◽  
Information Management ◽  
Search Engine ◽  
Information Search ◽  
Basic Principles ◽  
Efficient Search ◽  
Domain Specific ◽  
System Components ◽  
Desktop Search ◽  
Search And Retrieval

Search is an important aspect of information management often taken for granted. Domain specific repositories are growing in both size and numbers calling for efficient search and retrieval of documents. This paper explores the possible techniques and necessary system components for a search engine charting several iterative optimizations over the last few years. This paper focuses on NLP models while retaining basic principles from other methods that assist in information search.

A Study on Effective Measurement of Search Results from Search Engines

2019 ◽  
Vol 27 (1) ◽  
pp. 196-221 ◽  
Author(s):  
Jin Zhang ◽  
Xin Cai ◽  
Taowen Le ◽  
Wei Fei ◽  
Feicheng Ma
Keyword(s):  
Information Retrieval ◽  
Information Management ◽  
Search Engine ◽  
Information Search ◽  
Search Engines ◽  
Internet Technology ◽  
Global Information ◽  
Search Results ◽  
Retrieval Systems ◽  
Information Retrieval Systems

This article describes how as internet technology continues to change and improve lives and societies worldwide, effective global information management becomes increasingly critical, and effective Internet information retrieval systems become more and more significant in providing Internet users worldwide with accurate and complete information. Search engine evaluation is an important research field as search engines directly determine the quality of information users' Internet searches. Relevance-decrease pattern/model plays an important role in search engine result evaluation. This research studies effective measurement of search results through investigating relevance-decrease patterns of search results from two popular search engines: Google and Bing. The findings can be applied to relevance-evaluation of search results from other information retrieval systems such as OPAC, can help make search engine evaluations more accurate and sound, and can provide global information management personnel with valuable insights.

scholarly journals Onto Semantic Tourism Information Retrieval

2018 ◽  
Vol 7 (4.7) ◽  
pp. 148 ◽  
Author(s):  
Shilpa S. Laddha ◽  
Dr. Pradip M. Jawandhiya
Keyword(s):  
Information Retrieval ◽  
Significant Role ◽  
Semantic Search ◽  
Efficient Search ◽  
Domain Specific ◽  
Search Results ◽  
User Query ◽  
Tourism Information ◽  
Relationship Of ◽  
The Relationship

Semantic Search is an area of research which focuses on meaning of terms used in user query. Ontology plays significant role to define the concept and the relationship of terms in domain. Since the understanding of concepts is domain specific, Ontology creation is also domain specific. According to this argument, query interpreted in Tourism domain can have different meaning in some other domain. This paper presents a prototype of information retrieval interface using ontology which can save users time by rendering relevant, precise and efficient search results as compared to traditional search interfaces.  

Natural Language Processing–Assisted Literature Retrieval and Analysis for Combination Therapy in Cancer

2022 ◽  
Author(s):  
Jia Zeng ◽  
Christian X. Cruz-Pico ◽  
Turçin Saridogan ◽  
Md Abu Shufean ◽  
Michael Kahle ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Natural Language Processing ◽  
Combination Therapy ◽  
Natural Language ◽  
Search Engine ◽  
Language Processing ◽  
Biomedical Literature ◽  
Antitumor Efficacy ◽  
Domain Specific ◽  
Validation Experiment

PURPOSE Despite advances in molecular therapeutics, few anticancer agents achieve durable responses. Rational combinations using two or more anticancer drugs have the potential to achieve a synergistic effect and overcome drug resistance, enhancing antitumor efficacy. A publicly accessible biomedical literature search engine dedicated to this domain will facilitate knowledge discovery and reduce manual search and review. METHODS We developed RetriLite, an information retrieval and extraction framework that leverages natural language processing and domain-specific knowledgebase to computationally identify highly relevant papers and extract key information. The modular architecture enables RetriLite to benefit from synergizing information retrieval and natural language processing techniques while remaining flexible to customization. We customized the application and created an informatics pipeline that strategically identifies papers that describe efficacy of using combination therapies in clinical or preclinical studies. RESULTS In a small pilot study, RetriLite achieved an F 1 score of 0.93. A more extensive validation experiment was conducted to determine agents that have enhanced antitumor efficacy in vitro or in vivo with poly (ADP-ribose) polymerase inhibitors: 95.9% of the papers determined to be relevant by our application were true positive and the application's feature of distinguishing a clinical paper from a preclinical paper achieved an accuracy of 97.6%. Interobserver assessment was conducted, which resulted in a 100% concordance. The data derived from the informatics pipeline have also been made accessible to the public via a dedicated online search engine with an intuitive user interface. CONCLUSION RetriLite is a framework that can be applied to establish domain-specific information retrieval and extraction systems. The extensive and high-quality metadata tags along with keyword highlighting facilitate information seekers to more effectively and efficiently discover knowledge in the combination therapy domain.

Web Information Retrieval

2011 ◽  
pp. 218-252 ◽  
Author(s):  
Guillaume Cabanac ◽  
Max Chevalier ◽  
Claude Chrisment ◽  
Christine Julien ◽  
Chantal Soulé-Dupuy ◽  
...  
Keyword(s):  
Social Networks ◽  
Information Retrieval ◽  
Search Engine ◽  
Information Search ◽  
Information Needs ◽  
Information Source ◽  
Web Information Retrieval ◽  
Web Information ◽  
The Social ◽  
The Web

Nowadays, the Web has become the most queried information source. To solve their information needs, individuals can use different types of tools or services like a search engine, for instance. Due to the high amount of information and the diversity of human factors, searching for information requires patience, perseverance, and sometimes luck. To help individuals during this task, search assistants feature adaptive techniques aiming at personalizing retrieved information. Moreover, thanks to the “new Web” (the Web 2.0), personal search assistants are evolving, using social techniques (social networks, sharing-based methods). Let us enter into the Social Web, where everyone collaborates with others in providing their experience, their expertise. This chapter introduces search assistants and underlines their evolution toward Social Information Search Assistants.

scholarly journals APPLICATION OF METADATA MODELING TO DISPUTE REVIEW REPORT MANAGEMENT

2010 ◽  
Vol 16 (4) ◽  
pp. 491-498
Author(s):  
Yimin Zhu ◽  
Mehmet Emre Bayraktar ◽  
Shu-Ching Chen
Keyword(s):  
Information Management ◽  
Information Search ◽  
Construction Projects ◽  
Portable Document Format ◽  
Heterogeneous Data ◽  
Web Based ◽  
Related Information ◽  
Management Processes ◽  
Florida Department ◽  
Efficiency And Effectiveness

Disagreements in construction projects often result in litigation that is both time‐consuming and expensive. A dispute review board (DRB) provides a valuable and proven alternative method of dispute resolution. Currently, the Florida Department of Transportation (FDOT) stores DRB reports in portable document format (PDF) with limited search capability. Improving information retrieval of DRB documents and providing a certain level of integration of DRB reports with relevant but heterogeneous data and documents is the key to enhancing the current FDOT DRB system. This paper presents a web‐based data management framework to improve information management processes of the FDOT DRB system by providing key features such as metadata generation, an integrated review process, a simple issue description, member information management, and versatile information search. The new system not only allows DRB members and FDOT construction engineers to store and retrieve DRB reports but also provides more functionality to process those re‐ports. New functionalities include a structured search based on the metadata of DRB reports, an unstructured search using advanced computer technology, and the integration of DRB reports with other related information for analysis. This type of functionality improves the efficiency and effectiveness of the DRB system. Santrauka Del nesutarimu vykdant statybos projektus dažnai kyla teisminiu ginču, kurie yra brangūs ir trunka ilgai. Vertingas ir praktikoje prigijes alternatyvus ginču sprendimo metodas yra ginču nagrinejimo taryba (GNT). Šiuo metu Floridos transporto departamentas (FTD) yra sukaupes GNT ataskaitas PDF formatu su ribota paieškos galimybe. GNT dokumentu informacijos paieška ir tinkamo lygio GNT ataskaitu integravimas su reikalingais, bet heterogeniniais duomenimis yra esmine prielaida tobulinti dabartine FTD GNT sistema. Straipsnyje pristatoma internetine duomenu valdymo sistema, skirta patobulinti FTD GNT valdymo procesa remiantis šiomis esminemis savybemis: metaduomenu generavimo, integruoto peržiūros proceso, paprasto ginčo aprašymo, dalyvio informacijos valdymo, visapusiškos informacijos paieškos. Naujoji sistema ne tik leidžia FTD BNT nariams saugoti bei rasti GNT ataskaitas, bet ir sudaro galimybes funkcionaliau jas apdoroti. Naujos sistemos funkcijos apima struktūrizuota paieška GNT ataskaitu metaduomenu pagrindu, restruktūri‐zuota paieška naudojant pažangias kompiuteriu technologijas ir GNT ataskaitu integravima su kita susijusia analizuojama informacija. Šios funkcines savybes pagerina GNT sistemos efektyvuma.

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