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Deciding to Change OpenURL Link Resolvers

Megan Johnson, Andrea Leonard, John Wiswell
2015 Journal of Electronic Resources Librarianship  
This study assisted us in the decision-making process of choosing an OpenURL link resolver that was sustainable to maintain and, most importantly, made it easier for users to access the full text of an  ...  This article will be of interest to librarians, particularly those in consortia that are evaluating OpenURL link resolvers.  ...  In addition to the link resolving software, the standardized URLs, and the library holdings databases, there is one more important component to the system for delivering users to the full text content  ... 
doi:10.1080/1941126x.2015.999519 fatcat:siinwakm3rgqdhtmdufips2kzy

Finding Articles and Journals via Google Scholar, Journal Portals, and Link Resolvers

Lydia Dixon, Cheri Duncan, Jody Condit Fagan, Meris Mandernach, Stefanie E. Warlick
2010 Reference and user services quarterly  
In addition, the continued development of Google Scholar raises the question of whether it could become a better tool for finding a full-text article than link resolver software or journal portals.  ...  The other test asked participants to find citations in three web interfaces: the library's journal portal, Google Scholar, and the library's link resolver form.  ...  Link resolver software connects users from one provider' s database to full text in another provider' s database.  ... 
doi:10.5860/rusq.50n2.170 fatcat:t3d7mhige5ad5oal5jfob47z7e

INDREX: In-database relation extraction

Torsten Kilias, Alexander Löser, Periklis Andritsos
2015 Information Systems  
The management of text data has a long-standing history in the human mankind. A particular common task is extracting relations from text.  ...  We measure execution times for common workflows and demonstrate orders of magnitude improvement in execution time using INDREX.  ...  a b s t r a c t The management of text data has a long-standing history in the human mankind. A particular common task is extracting relations from text.  ... 
doi:10.1016/j.is.2014.11.006 fatcat:jrweeola2ffanclmmfw5bpdff4

Efficient In-Database Analytics with Graphical Models

Daisy Zhe Wang, Yang Chen, Christan Earl Grant, Kun Li
2014 IEEE Data Engineering Bulletin  
Due to recent application push, there is high demand in industry to extend database systems to perform efficient and scalable in-database analytics based on probabilistic graphical models (PGMs).  ...  We discuss issues in supporting in-database PGM methods and present techniques to achieve a deep integration of the PGM methods into the relational data model as well as the query processing and optimization  ...  Statistical Text Analytics in MADlib Based on the MADlib [5] framework, we set out to implement statistical methods in SQL to support various text analytics tasks.  ... 
dblp:journals/debu/WangCGL14 fatcat:6xuiaqwdsze4nf3ap4ctavrtay

Use and Usability of a Discovery Tool in an Academic Library

Scott Hanrath, Miloche Kottman
2015 Journal of Web Librarianship  
usage as measured by custom event tracking implemented in Google Analytics and usage statistics drawn from the discovery tool and server logs.  ...  This article describes test participants' success using the new tool to complete basic library research tasks, details the specific features they used in their attempts (e.g., facets, "did you mean" suggestions  ...  Acknowledgements The authors wish to thank Judith Emde for her part in planning and conducting the user studies described in this paper.  ... 
doi:10.1080/19322909.2014.983259 fatcat:dfusurzfxngjthvjpfoouf2itm

Application of natural language processing algorithms for extracting information from news articles in event-based surveillance

Victoria Ng, Erin E Rees, Jingcheng Niu, Abdelhamid Zaghlool
2020 Canada Communicable Disease Report  
We describe common information extraction applications from open-source news articles and media sources in EBS systems, methods, value in public health, challenges and emerging developments.  ...  The focus of this article is the application of natural language processing (NLP) for information extraction in event-based surveillance (EBS) systems.  ...  Synonyms and related concepts can be resolved using databases that organize the structure of words in the language (e.g. WordNet (15) ).  ... 
doi:10.14745/ccdr.v46i06a06 fatcat:wj2sovzv4jawldrzggvpepygsq

Data Preprocessing: A preliminary step for web data mining

Huma Jamshed, M. Sadiq Ali Khan, Muhammad Khurram, Syed Inayatullah, Sameen Athar
2019 3C Tecnología  
This paper discusses various big data pre-processing techniques in order to prepare it for mining and analysis tasks.  ...  In recent years immense growth of data i.e. big data is observed resulting in a brighter and more optimized future.  ...  The end database may contain all the information of the original database in wellorganized format (Bellatreche & Chakravarthy, 2017) .  ... 
doi:10.17993/3ctecno.2019.specialissue2.206-221 fatcat:7yzbcfjhhfgv3kb3ytyenfsbga

Data Warehouse Design for Big Data in Academia

R. Shijitha, P. Karthigaikumar, A. Stanly Paul
2022 Computers Materials & Continua  
In the aspect of analytical queries, the SQL Server was a top performer followed by MongoDB and Hive.  ...  The three systems are evaluated for corpus construction and descriptive analytics.  ...  Following a common practice for evaluating DW solutions, this study measured performance for conducting regular task of corpus construction and for producing descriptive analytics [19] .  ... 
doi:10.32604/cmc.2022.016676 fatcat:jlcdrqnlcnbflikqpdtgkye2k4

Literature classification for semi-automated updating of biological knowledgebases

Lars Olsen, Ulrich Johan Kudahl, Ole Winther, Vladimir Brusic
2013 BMC Genomics  
Text mining, manual extraction, or a combination of these two is common in extracting the high-level data, such as functional annotations.  ...  To address these issues we have formalized a number of common tasks pertaining to knowledgebase updating into a conceptual framework for updating biological KBS, shown in Figure 1 .  ...  OW: Contributed to case study (particularly text mining tasks), critically reviewed manuscript. VB: Conceived of framework and case study, prepared manuscript.  ... 
doi:10.1186/1471-2164-14-s5-s14 pmid:24564403 pmcid:PMC3852072 fatcat:xxp4e5q3dnge3gn5hezwp6x6ku

Services oriented architectures and rapid deployment of ad-hoc health surveillance systems: lessons from Katrina relief efforts

Parsa Mirhaji, S Ward Casscells, Arunkumar Srinivasan, Narendra Kunapareddy, Sean Byrne, David Mark Richards, Raouf Arafat
2006 AMIA Annual Symposium Proceedings  
Here we will report the use of Internet-based and distributed architectures in providing timely, novel, and customizable solutions on demand for unprecedented events such as natural disasters.  ...  The system was post-coordinated through the orchestration of Web Services such as information integration, natural language processing, syndromic case finding, and online analytical processing (OLAP).  ...  Frequently, different public health tasks have common subtasks such as "Aggregate" and "Chart" as in the above example. Also, a novel task can be accomplished by reconfiguring existing services.  ... 
pmid:17238405 pmcid:PMC1839532 fatcat:ddpzlu4mlzbetfjmg6jkrzbqz4

Semantic-based Approach for Solving the Heterogeneity of Clinical Data

Basma Elsharkawy, Hatem Ahmed, Rashed Salem
2016 IJCI. International Journal of Computers and Information  
Clinical records contain massive heterogeneity number of data types, generally written in free-note without a linguistic standard.  ...  Consequently, to retrieve the knowledge from these data is not trivial task. Handling the heterogeneity besides largeness and complexity of these data is a challenge.  ...  The Semantic Text Similarity (STS) method has been recommended, that discovers the similarity of two texts in terms of semantic and syntactic information (by common-word order method).  ... 
doi:10.21608/ijci.2016.33955 fatcat:zl7knrxnpnhndhkwtunt4dxo4q

Mining Sequential Pattern of Data in Textual Document Using Data Mining Classification Technique

J. Jayasudha, A. Christina Esther
2019 Asian Journal of Computer Science and Technology  
Text document were transmitted over the internet for the text communication. So they were occurred many problems like repeated text occurred because of same data were provided in the internet.  ...  To characterize and extracting that is a most critical task for the researchers.  ...  Data Mining (DM) is the skillful of resolve expensive information from the large database.  ... 
doi:10.51983/ajcst-2019.8.s1.1961 fatcat:cwmkauycvzfkrfyhkgbyflirba

Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

Iana Atanassova, Marc Bertin, Philipp Mayr
2019 Frontiers in Research Metrics and Analytics  
enhance the ways bibliometrics can benefit from large-scale text analytics and sense mining of papers.  ...  Metrics and Analytics | www.frontiersin.org  ...  This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).  ... 
doi:10.3389/frma.2019.00002 pmid:33870034 pmcid:PMC8028414 fatcat:jkjcpxnx75dunjojfs6qxmwck4

Leam: An Interactive System for In-situ Visual Text Analysis [article]

Sajjadur Rahman and Peter Griggs and Çağatay Demiralp
2020 arXiv   pre-print
With the increase in scale and availability of digital text generated on the web, enterprises such as online retailers and aggregators often use text analytics to mine and analyze the data to improve their  ...  Existing text analytics systems usually accommodate a subset of these stages and often fail to address challenges related to data heterogeneity, provenance, workflow reusability and reproducibility, and  ...  Visual interactive text analytics.  ... 
arXiv:2009.03520v1 fatcat:nq2dynx6l5d53aqgjjtsumdnai

ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining

Tianxiao Huan, Andrey Y Sivachenko, Scott H Harrison, Jake Y Chen
2008 BMC Bioinformatics  
Many software tools have been developed in the past decade to help researchers visually navigate large networks of biomolecular interactions with built-in templatebased query capabilities.  ...  A robust visual data analysis platform driven by database management systems to perform bi-directional data processing-to-visualizations with declarative querying capabilities is needed.  ...  Users of ProteoLens can iteratively prepare data stored in relational databases without leaving the visual analytic environment.  ... 
doi:10.1186/1471-2105-9-s9-s5 pmid:18793469 pmcid:PMC2537576 fatcat:44nkdurxl5dajn7k6itot7hyri
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