Subword-based Semantic Retrieval of Clinical and Bibliographic Documents

2010 ◽  
Vol 49 (02) ◽  
pp. 141-147 ◽  
Author(s):  
S. Schulz ◽  
M. L. Müller ◽  
W. Dzeyk ◽  
L. Prinzen ◽  
E. J. Pacheco ◽  
...  
Keyword(s):  
Document Retrieval ◽  
Bibliographic Databases ◽  
Semantic Retrieval ◽  
Text Indexing ◽  
Document Collections ◽  
Domain Specific ◽  
European Languages ◽  
Indexing And Retrieval ◽  
User Groups ◽  
User Friendly

Summary Objectives: The increasing amount of electronically available documents in bibliographic databases and the clinical documentation requires user-friendly techniques for content retrieval. Methods: A domain-specific approach on semantic text indexing for document retrieval is presented. It is based on a subword thesaurus and maps the content of texts in different European languages to a common interlingual representation, which supports the search across multilingual document collections. Results: Three use cases are presented where the semantic retrieval method has been implemented: a bibliographic database, a department EHR system, and a consumer-oriented Web portal. Conclusions: It could be shown that a semantic indexing and retrieval approach, the performance of which had already been empirically assessed in prior studies, proved useful in different prototypical and routine scenarios and was well accepted by several user groups.

Folksonomy

2011 ◽  
pp. 877-891
Author(s):  
Katrin Weller ◽  
Isabella Peters ◽  
Wolfgang G. Stock
Keyword(s):  
Large Data ◽  
Document Retrieval ◽  
Point Of View ◽  
Knowledge Organization ◽  
Data Sets ◽  
Document Collections ◽  
User Input ◽  
Indexing Method ◽  
Indexing And Retrieval ◽  
Locating Information

This chapter discusses folksonomies as a novel way of indexing documents and locating information based on user generated keywords. Folksonomies are considered from the point of view of knowledge organization and representation in the context of user collaboration within the Web 2.0 environments. Folksonomies provide multiple benefits which make them a useful indexing method in various contexts; however, they also have a number of shortcomings that may hamper precise or exhaustive document retrieval. The position maintained is that folksonomies are a valuable addition to the traditional spectrum of knowledge organization methods since they facilitate user input, stimulate active language use and timeliness, create opportunities for processing large data sets, and allow new ways of social navigation within document collections. Applications of folksonomies as well as recommendations for effective information indexing and retrieval are discussed.

Folksonomy

2010 ◽  
pp. 132-146 ◽  
Author(s):  
Katrin Weller ◽  
Isabella Peters ◽  
Wolfgang G. Stock
Keyword(s):  
Large Data ◽  
Document Retrieval ◽  
Point Of View ◽  
Knowledge Organization ◽  
Data Sets ◽  
Document Collections ◽  
User Input ◽  
Indexing Method ◽  
Indexing And Retrieval ◽  
Locating Information

This chapter discusses folksonomies as a novel way of indexing documents and locating information based on user generated keywords. Folksonomies are considered from the point of view of knowledge organization and representation in the context of user collaboration within the Web 2.0 environments. Folksonomies provide multiple benefits which make them a useful indexing method in various contexts; however, they also have a number of shortcomings that may hamper precise or exhaustive document retrieval. The position maintained is that folksonomies are a valuable addition to the traditional spectrum of knowledge organization methods since they facilitate user input, stimulate active language use and timeliness, create opportunities for processing large data sets, and allow new ways of social navigation within document collections. Applications of folksonomies as well as recommendations for effective information indexing and retrieval are discussed.

Text Indexing and Retrieval

2018 ◽  
pp. 4081-4084
Author(s):  
Haoda Huang ◽  
Benyu Zhang
Keyword(s):  
Text Indexing ◽  
Indexing And Retrieval

scholarly journals ONTOLOGY-BASED WEB TOOLS FOR RETRIEVING PHOTOGRAMMETRIC CULTURAL HERITAGE MODELS

2019 ◽  
Vol XLII-2/W10 ◽  
pp. 31-38 ◽  
Author(s):  
M. Ben Ellefi ◽  
P. Drap ◽  
O. Papini ◽  
D. Merad ◽  
J. P. Royer ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Web Tools ◽  
Domain Specific Knowledge ◽  
Visualization Systems ◽  
User Friendly ◽  
Machine Readable ◽  
Associated Knowledge

<p><strong>Abstract.</strong> A key challenge in cultural heritage (CH) sites visualization is to provide models and tools that effectively integrate the content of a CH data with domain-specific knowledge so that the users can query, interpret and consume the visualized information. Moreover, it is important that the intelligent visualization systems are interoperable in the semantic web environment and thus, capable of establishing a methodology to acquire, integrate, analyze, generate and share numeric contents and associated knowledge in human and machine-readable Web. In this paper, we present a model, a methodology and a software Web-tools that support the coupling of the 2D/3D Web representation with the knowledge graph database of <i>Xlendi</i> shipwreck. The Web visualization tools and the knowledge-based techniques are married into a photogrammetry driven ontological model while at the same time, user-friendly web tools for querying and semantic consumption of the shipwreck information are introduced.</p>

Reporting a User Study on a Visual Editor to Compose Rules in Active Documents

2014 ◽  
pp. 182-203 ◽  
Author(s):  
Federico Cabitza ◽  
Iade Gesso
Keyword(s):  
Medical Record ◽  
User Study ◽  
End Users ◽  
Visual Language ◽  
Visual Languages ◽  
User Friendliness ◽  
Domain Specific ◽  
Specific Rule ◽  
User Friendly ◽  
It Skills

In the last years, researchers are exploring the feasibility of visual language editors in domain-specific domains where their alleged user-friendliness can be exploited to involve end-users in configuring their artifacts. In this chapter, the authors present an experimental user study conducted to validate the hypothesis that adopting a visual language could help prospective end-users of an electronic medical record define their own document-related local rules. This study allows them to claim that their visual rule editor based on the OpenBlocks framework can be used with no particular training as proficiently as with specific training, and it was found user-friendly by the user panel involved. Although the conclusions of this study cannot be broadly generalized, the findings are a preliminary contribution to show the importance of visual languages in domain-specific rule definition by end-users with no particular IT skills, like medical doctors are supposed to represent.

LocalContent: a personal scientific document retrieval system

2015 ◽  
Vol 33 (3) ◽  
pp. 373-385 ◽  
Author(s):  
Chih-Fong Tsai ◽  
Shih-Wen Ke ◽  
Kenneth McGarry ◽  
Ming-Yi Lin
Keyword(s):  
Language Processing ◽  
Retrieval System ◽  
Personal Information ◽  
Document Retrieval ◽  
Processing Technique ◽  
Content Type ◽  
Indexing And Retrieval ◽  
Database Indexing ◽  
Personal Archives ◽  
Indexing Term

Purpose – The purpose of this paper is to introduce a novel personal scientific document retrieval system. The most common approach taken for the storage of personal documents is to construct a hierarchical folder structure. Most users prefer searching for documents by manually traversing their organizational hierarchy until reaching the location where the target item is stored, then locating the specific documents within its directory or folder. However, this is very time-consuming, especially when the number of personal scientific documents is very large. Unfortunately, related personal information management (PIM) systems, which provide solutions for managing various types of personal information, have thus far made little progress at managing personal scientific documents. Design/methodology/approach – In this paper, we introduce the design of a personal scientific document retrieval system, namely, LocalContent. It is composed of database indexing and retrieval stages. During indexing, term feature extraction from scientific documents is performed by the natural language processing technique. The extracted terms are stored in the inverted index for later retrieval. For retrieval, a graphical user interface is provided by LocalContent, which allows users to search their personal scientific documents. Findings – The evaluation results based on 20 different personal archives taken from 20 graduate students show that LocalContent is simple to use and can facilitate the search for relevant scientific documents. Moreover, these users were willing to have a system which provides specialized search functions like LocalContent to explore their personal scientific documents in the future. Originality/value – LocalContent is a novel scientific document retrieval system and provides several particular functions of LocalContent including displaying the content summary of the query term frequency in each specific section of the retrieved documents, querying by local section specification and providing a number of recommended keywords related to the query terms.

scholarly journals SYLLABLE-BASED CHINESE TEXT/SPOKEN DOCUMENT RETRIEVAL USING TEXT/SPEECH QUERIES

2000 ◽  
Vol 14 (05) ◽  
pp. 603-616 ◽  
Author(s):  
BO-REN BAI ◽  
BERLIN CHEN ◽  
HSIN-MIN WANG
Keyword(s):  
Chinese Text ◽  
Chinese Language ◽  
Document Retrieval ◽  
Prototype System ◽  
Test Results ◽  
Spoken Document Retrieval ◽  
Novel Approach ◽  
Statistical Similarity ◽  
User Friendly ◽  
Spoken Documents

In light of the rapid growth of Chinese information resources on the Internet, this study investigates a novel approach that deals with the problem of Chinese text and spoken document retrieval using both text and speech queries. By properly utilizing the monosyllabic structure of the Chinese language, the proposed approach estimates the statistical similarity between the text/speech queries and the text/spoken documents at the phonetic level using the syllable-based statistical information. The investigation successfully implemented a prototype system with an interface supporting some user-friendly functions and the initial test results demonstrate the feasibility of the proposed approach.

scholarly journals Cybersecurity in Construction: Where Do We Stand and How Do We Get Better Prepared

2021 ◽  
Vol 7 ◽  
Author(s):  
Bharadwaj R. K. Mantha ◽  
Borja García de Soto
Keyword(s):  
Web Of Science ◽  
Document Retrieval ◽  
Cyber Attacks ◽  
Future Research ◽  
Research Topics ◽  
Domain Experts ◽  
Domain Specific ◽  
Number Of Publications ◽  
Influential Journal ◽  
Aec Industry

The architecture, engineering, and construction (AEC) industry is increasingly becoming digital and more prone to cyber-attacks. Although there are several studies and standards in the cybersecurity domain, experts suggest that domain-specific studies need to be conducted to address the unique challenges faced within each of the different industries. Therefore, several cybersecurity studies have been undertaken for various industries, such as healthcare, manufacturing, telecommunication, and energy. However, this type of study is largely missing in the AEC industry due to different reasons, including lack of awareness. To address that, this study aims to (a) compare and analyze the number of cybersecurity-related documents in the AEC industry with several other industries, and (b) extract and analyze the cybersecurity-related documents data to identify potential future research trends and topics for the AEC community. The Web of Science (WOS) database, consisting of significant and influential journal publications, was used for document retrieval. VOSviewer was used to identify key research topics and trends in the cybersecurity domain and define future cybersecurity research in the AEC industry. WOS document retrieval results that compared the total number of publications corroborated the little to no attention received to cybersecurity investigation in the AEC industry. In addition, the VOSviewer analysis revealed three significant areas of research in the cybersecurity community that provide a reasonably justified roadmap for conducting cybersecurity research in the AEC industry. This study could greatly benefit the AEC research community and potential reaping benefits to the industry by creating more awareness among different stakeholders.

scholarly journals Wavelet trees: A survey

2012 ◽  
Vol 9 (2) ◽  
pp. 585-625 ◽  
Author(s):  
Christos Makris
Keyword(s):  
Data Structure ◽  
Specific Area ◽  
Research Area ◽  
Text Compression ◽  
Text Indexing ◽  
Indexing And Retrieval ◽  
Wide Range ◽  
Tree Data ◽  
Tree Data Structure ◽  
Young Researchers

The topic of this paper is the exploration of the various characteristics of the wavelet tree data structure, a data structure that was initially proposed for text compression applications but has found a plethora of other uses in text indexing and retrieval. Issues concerning the efficient maintenance of the structure, plus its handling in various applications are explored. Our main aim is to provide to computer science researchers that would like to explore the specific area, an up-to-date comprehensive material covering a wide range of applications. This kind of up-to-date survey is missing from the current bibliography and we hope that it will help young researchers to get familiar with the notions of this research area.

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