Relevant bibliographies by topics / Search tools

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Search tools'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Search tools"

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Boss, Stephen C., and Michael L. Nelson. "Federated Search Tools." Reference Librarian 44, no. 91-92 (October 26, 2005): 139–60. http://dx.doi.org/10.1300/j120v44n91_10.

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Glusker, Ann. "PubMed’s Native Interface Remains the Best Tool for Systematic Searching of its Biomedical Citations." Evidence Based Library and Information Practice 12, no. 2 (June 29, 2017): 166. http://dx.doi.org/10.18438/b88s9k.

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A Review of: Wildgaard, L. E., & Lund, H. (2016). Advancing PubMed? A comparison of third-party PubMed/Medline tools. Library Hi Tech, 34 (4), 669-684. http://dx.doi.org/doi: 10.1108/LHT-06-2016-0066 Abstract Objective – To compare the functionality of third-party PubMed tools for searching biomedical citations in PubMed, in the specific context of systematic searching. Design – Comparative analysis of software functionality. Setting – Online, freely accessible search software. Subjects – Sixteen third-party tools for searching and managing the full range of PubMed citations (tools which focused on specific disciplines were not included). Methods – Tools for analysis were identified in two ways; those discussed in two published articles were used, and a supplementary PubMed search was performed. The initial list of 76 possibilities was assessed for study inclusion on 4 criteria: covering the entire range of PubMed content; being freely available; not limiting to a particular bio-medical discipline; and incorporating online PubMed/MEDLINE content. After assessment, 16 tools were chosen for further analysis (the authors provide a list and description of the tools in their Table I). Each was examined in relation to 11 crucial operational aspects. Result sets were tested against a control (a literature search result set on a particular clinical question which was determined by physicians to yield relevant results, details of which are provided by the authors in an online appendix). Main Results – The 11 identified aspects related to tool functionality were examined for each tool selected, with results grouped into three sets of factors: 1) supporting the search (field codes, filters, limits and Boolean operators); 2) managing the search (output, related articles, links to articles, number of results, exporting); and 3) documenting the search (saving the search and search history). In some cases, the tests had to be adjusted to accommodate the tool's specifications. In Table II the authors present a grid with the results of the testing, on each of the 11 aspects, for each tool. The authors found that with many tools it was not straightforward, if even possible, to filter and limit in order to get more specific result sets. Few tools were effective at suggesting related articles within the tool itself, instead linking the user out to PubMed, and only two tools provided the same number of citation results as the comparison PubMed search. In addition, the display of results often made it difficult to assess result sets; and only two tools provided the option to save searches and see search history. Furthermore, due to unexpected tool limitations, it was not possible to assess the relevance of citation result sets delivered by the third-party tools, as compared with the control PubMed search. Conclusion – Close analysis of the tools studied indicated that they were not created in order to support systematic searches. They lack support for filtering/limiting, saving or exporting searches, which are central functionalities to the work of performing such searches. While some of the tools studied may still be in the early phases of development, and while several of them, in enhancing PubMed searches in particular ways, may suggest additional profitable strategies for performing a systematic search, not one of them can replace the functionalities of the native PubMed interface. It remains the best tool for searching and managing the full range of PubMed citations, for the purposes of performing systematic searches.
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Goodsett, Mandi. "Discovery search tools: a comparative study." Reference Reviews 28, no. 6 (August 12, 2014): 2–8. http://dx.doi.org/10.1108/rr-12-2013-0312.

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Purpose – This review allows librarians to compare three of the major discovery services – EBSCO Discovery Service, Ex Libris’ Primo and Serials Solutions’ Summon – on the basis of price, content, user experience, features and functionality and back-end configuration to make informed decisions about the best tool for their institutions. Design/methodology/approach – The comparisons were made through a literature review, study of the vendors’ websites, several interviews and personal usability testing of each tool. Findings – The tools each have their strengths and weaknesses, and a decision of which tool is most appropriate for an institution varies depending on the institution’s needs and current situation. Originality/value – A literature review shows that no study has yet been conducted comparing these three discovery tools, and few comparative studies of discovery tools have been published recently.
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MUMINOV, BAHODIR, and Ulugbek Bekmurodov. "FVS-TECHNOLOGY: INTELLECTUAL SEARCH TOOLS." IIUM Engineering Journal 22, no. 1 (January 4, 2021): 118–28. http://dx.doi.org/10.31436/iiumej.v22i1.1389.

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It is enough to have 3 basic stages of the modules in the SPD of a diversified corporate network: (F) - the method of submitting the request, i.e. the method of forming the expression of the information needs of the system user (S) - the function of the correspondence of the electronic resource to the request degree of compliance with the request and the found electronic resource; (V) - method of presenting electronic resources. Combining these three stages for models, methods, and software modules of the AML, is referred to as FSV technology (FSV platform, FSV Framework). FSV technology is an instrumental software platform based on a client-server architecture, integration and modification of models, and methods and algorithms of AML in the information environment of corporate networks. The following architecture has been developed for the FSV technology proposed for the search index in data retrieval systems. ABSTRAK: Tiga peringkat asas modul adalah cukup dalam pelbagai rangkaian korporat SPD iaitu: (F) - kaedah penyerahan permintaan, kaedah membentuk ungkapan keperluan maklumat pengguna sistem (S) - fungsi surat-menyurat sumber elektronik bagi permintaan tahap pematuhan permintaan dan sumber elektronik yang dijumpai; (V) - kaedah penyampaian sumber elektronik. Gabungan tiga peringkat model, kaedah dan modul perisian AML, dipanggil teknologi FSV (platform FSV, rangka FSV). Teknologi FSV adalah platform perisian instrumen berdasarkan seni bina pelanggan-pelayan, integrasi dan pengubah suaian model, kaedah-kaedah dan algoritma AML dalam persekitaran maklumat dalam rangkaian korporat. Seni bina ini telah di bina bagi teknologi FSV yang dicadangkan bagi indeks carian dalam sistem dapatan data.
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Sparks, Susan. "Connecting to Internet -Search Tools." International Nursing Review 45, no. 6 (November 1998): 192. http://dx.doi.org/10.1046/j.1466-7657.45.no.6issue342.9.x.

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Sparks, Susan. "Connecting to Internet-Search Tools." International Nursing Review 46, no. 2 (March 1999): 64. http://dx.doi.org/10.1046/j.1466-7657.45.no.6issue342.9.x-i2.

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Sparks, Susan. "Connecting to Internet-Search Tools." International Nursing Review 46, no. 5 (January 31, 2003): 160. http://dx.doi.org/10.1111/j.1600-0668.1996.00012.x-i1.

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Kimmel, Stacey. "WWW Search Tools in Reference Services." Reference Librarian 27, no. 57 (September 29, 1997): 5–20. http://dx.doi.org/10.1300/j120v27n57_02.

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Boykin, Priscilla. "Excellent Article on Web Search Tools." Image: the Journal of Nursing Scholarship 31, no. 1 (March 1999): 10. http://dx.doi.org/10.1111/j.1547-5069.1999.tb00409.x.

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LeBeau, Brandon. "pdfsearch: Search Tools for PDF Files." Journal of Open Source Software 3, no. 27 (July 8, 2018): 668. http://dx.doi.org/10.21105/joss.00668.

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Dissertations / Theses on the topic "Search tools"

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Saunders, Tana. "Evaluation of Internet search tools instrument design." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49957.

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Thesis (MPhil)--Stellenbosch University, 2004.
ENGLISH ABSTRACT: This study investigated Internet search tools / engines to identify desirable features that can be used as a benchmark or standard to evaluate web search engines. In the past, the Internet was thought of as a big spider's web, ultimately connecting all the bits of information. It has now become clear that this is not the case, and that the bow tie analogy is more accurate. This analogy suggests that there is a central core of well-connected pages, with links IN and OUT to other pages, tendrils and orphan pages. This emphasizes the importance of selecting a search tool that is well connected and linked to the central core. Searchers must take into account that not all search tools search the Invisible Web and this will reflect on the search tool selected. Not all information found on the Web and Internet is reliable, current and accurate, and Web information must be evaluated in terms of authority, currency, bias, purpose of the Web site, etc. Different kinds of search tools are available on the Internet, such as search engines, directories, library gateways, portals, intelligent agents, etc. These search tools were studied and explored. A new categorization for online search tools consisting of Intelligent Agents, Search Engines, Directories and Portals / Hubs is suggested. This categorization distinguishes the major differences between the 21 kinds of search tools studied. Search tools / engines consist of spiders, crawlers, robots, indexes and search tool software. These search tools can be further distinguished by their scope, internal or external searches and whether they search Web pages or Web sites. Most search tools operate within a relationship with other search tools, and they often share results, spiders and databases. This relationship is very dynamic. The major international search engines have identifiable search features. The features of Google, Yahoo, Lycos and Excite were studied in detail. Search engines search for information in different ways, and present their results differently. These characteristics are critical to the Recall/Precision ratio. A well-planned search strategy will improve the Precision/Recall ratio and consider the web-user capabilities and needs. Internet search tools/engines is not a panacea for all information needs, and have pros and cons. The Internet search tool evaluation instrument was developed based on desirable features of the major search tools, and is considered a benchmark or standard for Internet search tools. This instrument, applied to three South African search tools, provided insight into the capabilities of the local search tools compared to the benchmark suggested in this study. The study concludes that the local search engines compare favorably with the major ones, but not enough so to use them exclusively. Further research into this aspect is needed. Intelligent agents are likely to become more popular, but the only certainty in the future of Internet search tools is change, change, and change.
AFRIKAANSE OPSOMMING: Hierdie studie het Internetsoekinstrumente/-enjins ondersoek met die doel om gewenste eienskappe te identifiseer wat as 'n standaard kan dien om soekenjins te evalueer. In die verlede is die Internet gesien as 'n groot spinnerak, wat uiteindelik al die inligtingsdeeltjies verbind. Dit het egter nou duidelik geword dat dit glad nie die geval is nie, en dat die strikdas analogie meer akkuraat is. Hierdie analogie stel voor dat daar 'n sentrale kern van goed gekonnekteerde bladsye is, met skakels IN en UIT na ander bladsye, tentakels en weesbladsye. Dit beklemtoon die belangrikheid om die regte soekinstrument te kies, naamlik een wat goed gekonnekteer is, en geskakel is met die sentrale kern van dokumente. Soekers moet in gedagte hou dat nie alle soekenjins in die Onsigbare Web soek nie, en dit behoort weerspieël te word in die keuse van die soekinstrument. Nie alle inligting wat op die Web en Internet gevind word is betroubaar, op datum en akkuraat nie, en Web-inligting moet geëvalueer word in terme van outoriteit, tydigheid, vooroordeel, doel van die Webruimte, ens. Verskillende soorte soekinstrumente is op die Internet beskikbaar, soos soekenjins, gidse, biblioteekpoorte, portale, intelligente agente, ens. Hierdie soekinstrumente is bestudeer en verken. 'n Nuwe kategorisering vir aanlyn soekinstrumente bestaande uit Intelligente Agente, Soekinstrumente, Gidse en Portale/Middelpunte word voorgestel. Hierdie kategorisering onderskei die hoofverskille tussen die 21 soorte soekinstrumente wat bestudeer is. Soekinstrumente/-enjins bestaan uit spinnekoppe, kruipers, robotte, indekse en soekinstrument sagteware. Hierdie soekinstrumente kan verder onderskei word deur hulle omvang, interne of eksterne soektogte en of hulle op Webbladsye of Webruimtes soek. Die meeste soekinstrumente werk in verhouding met ander soekinstrumente, en hulle deel dikwels resultate, spinnekoppe en databasisse. Hierdie verhouding is baie dinamies. Die hoof internasionale soekenjins het soekeienskappe wat identifiseerbaar is. Die eienskappe van Google, Yahoo en Excite is in besonderhede bestudeer. Soekenjins soek op verskillende maniere na inligting, en lê hulle resultate verskillend voor. Hierdie karaktereienskappe is krities vir die Herwinning/Presisie verhouding. 'n Goedbeplande soekstrategie sal die Herwinning/Presisie verhouding verbeter. Internet soekinstrumente/-enjins is nie die wondermiddel vir alle inligtingsbehoeftes nie, en het voor- en nadele. Die Internet soekinstrument evalueringsmeganisme se ontwikkeling is gebaseer op gewenste eienskappe van die hoof soekinstrumente, en word beskou as 'n standaard vir Internet soekinstrumente. Hierdie instrument, toegepas op drie Suid-Afrikaanse soekenjins, het insae verskaf in die doeltreffendheid van die plaaslike soekinstrumente soos vergelyk met die standaard wat in hierdie studie voorgestel word. In die studie word tot die slotsom gekom dat die plaaslike soekenjins gunstig vergelyk met die hoof soekenjins, maar nie genoegsaam sodat hulle eksklusief gebruik kan word nie. Verdere navorsing oor hierdie aspek is nodig. Intelligente Agente sal waarskynlik meer gewild word, maar die enigste sekerheid vir die toekoms van Internet soekinstrumente is verandering, verandering en nogmaals verandering.
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Moghaddam, Mehdi Minachi. "Internet search techniques : using word count, links and directory structure as Internet search tools." Thesis, University of Bedfordshire, 2005. http://hdl.handle.net/10547/314080.

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As the Web grows in size it becomes increasingly important that ways are developed to maximise the efficiency of the search process and index its contents with minimal human intervention. An evaluation is undertaken of current popular search engines which use a centralised index approach. Using a number of search terms and metrics that measure similarity between sets of results, it was found that there is very little commonality between the outcome of the same search performed using different search engines. A semi-automated system for searching the web is presented, the Internet Search Agent (ISA), this employs a method for indexing based upon the idea of "fingerprint types". These fingerprint types are based upon the text and links contained in the web pages being indexed. Three examples of fingerprint type are developed, the first concentrating upon the textual content of the indexed files, the other two augment this with the use of links to and from these files. By looking at the results returned as a search progresses in terms of numbers and measures of content of results for effort expended, comparisons can be made between the three fingerprint types. The ISA model allows the searcher to be presented with results in context and potentially allows for distributed searching to be implemented.
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Manicassamy, Jayanthi, and P. Dhavachelvan. "VirusPKT: A Search Tool For Assimilating Assorted Acquaintance For Viruses." Engg Journals Publications, 2009. http://hdl.handle.net/10150/212814.

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Viruses utilize various means to circumvent the immune detection in the biological systems. Several mathematical models have been investigated for the description of viral dynamics in the biological system of human and various other species. One common strategy for evasion and recognition of viruses is, through acquaintance in the systems by means of search engines. In this perspective a search tool have been developed to provide a wider comprehension about the structure and other details on viruses which have been narrated in this paper. This provides an adequate knowledge in evolution and building of viruses, its functions through information extraction from various websites. Apart from this, tool aim to automate the activities associated with it in a self-maintainable, selfsustainable, proactive one which has been evaluated through analysis made and have been discussed in this paper.
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Bani-Ahmad, Sulieman Ahmad. "RESEARCH-PYRAMID BASED SEARCH TOOLS FOR ONLINE DIGITAL LIBRARIES." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1207228115.

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Klein, Abigail (Abigail B. ). "Search tools for scaling expert code review to the global classroom." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/105991.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 57-58).
This thesis aims to answer the question "How can teachers of online classrooms give more qualitative feedback to students?" We narrow the scope of this question to an online software engineering class in which a major component is code review. We built two search tools that give teachers better coverage of student code. The first tool, Comment Search, allows students and staff to reuse any comment they previously wrote when reviewing another student's code. Staff can reuse any comment written by any staff member as well. After deploying Comment Search in a classroom for a full semester, we found that students and staff used this tool to write higher quality comments. We also found that many reused comments were about similar patterns in code. This inspired the second tool, Code Search, which allows teachers to search for sections of student code that contain a desired pattern. Preliminary results of Code Search are promising: for the queries that Code Search is built for, Code Search returns nearly all relevant results. Together, Comment Search and Code Search offer teachers the ability to give meaningful comments to many more students than otherwise possible.
by Abigail Klein.
M. Eng.
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O'loughlin, Benjamin. "Evaluation of Search and Rescue Planning Tools on the West Florida Shelf." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6557.

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The Coast Guard conducts over 20,000 search and rescue cases a year with approximately 5% of them occurring within the coastal waters of the West Florida Shelf (WFS). Each search effort is planned using the Coast Guard’s Search and Rescue Optimal Planning System (SAROPS) which uses model inputs to create composite probability distributions based on the results of Monte Carlo projections of thousands of particle trajectories. However, SAROPS is limited by the quality of model inputs and their associated errors. This study utilizes observations from three surface drifter deployments on the WFS to evaluate the effectiveness of available surface current models, including one model not currently in use by the Coast Guard. Additionally, the performance of high-frequency (HF) Radar observations is evaluated against the models. The HF Radar root-mean-square errors (RMSE) were found to be on the order of 10 cm/s, and a model created with objectively mapped HF Radar data was found to out-perform all available models. Additionally, a comparison of model skills (using a normalized Lagrangian separation method) showed the West Florida Coastal Ocean Model (WFCOM) to have better skill on both the inner and outer shelf regions of the WFS when compared to other models.
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Harris, Martyn. "The anatomy of a search and mining system for digital humanities : Search And Mining Tools for Language Archives (SAMTLA)." Thesis, Birkbeck (University of London), 2017. http://bbktheses.da.ulcc.ac.uk/236/.

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Humanities researchers are faced with an overwhelming volume of digitised primary source material, and "born digital" information, of relevance to their research as a result of large-scale digitisation projects. The current digital tools do not provide consistent support for analysing the content of digital archives that are potentially large in scale, multilingual, and come in a range of data formats. The current language-dependent, or project specific, approach to tool development often puts the tools out of reach for many research disciplines in the humanities. In addition, the tools can be incompatible with the way researchers locate and compare the relevant sources. For instance, researchers are interested in shared structural text patterns, known as \parallel passages" that describe a specific cultural, social, or historical context relevant to their research topic. Identifying these shared structural text patterns is challenging due to their repeated yet highly variable nature, as a result of differences in the domain, author, language, time period, and orthography. The contribution of the thesis is a novel infrastructure that directly addresses the need for generic, flexible, extendable, and sustainable digital tools that are applicable to a wide range of digital archives and research in the humanities. The infrastructure adopts a character-level n-gram Statistical Language Model (SLM), stored in a space-optimised k-truncated suffix tree data structure as its underlying data model. A character-level n-gram model is a relatively new approach that is competitive with word-level n-gram models, but has the added advantage that it is domain and language-independent, requiring little or no preprocessing of the document text unlike word-level models that require some form of language-dependent tokenisation and stemming. Character-level n-grams capture word internal features that are ignored by word-level n-gram models, which provides greater exibility in addressing the information need of the user through tolerant search, and compensation for erroneous query specification or spelling errors in the document text. Furthermore, the SLM provides a unified approach to information retrieval and text mining, where traditional approaches have tended to adopt separate data models that are often ad-hoc or based on heuristic assumptions. In addition, the performance of the character-level n-gram SLM was formally evaluated through crowdsourcing, which demonstrates that the retrieval performance of the SLM is close to that of the human level performance. The proposed infrastructure, supports the development of the Samtla (Search And Mining Tools for Language Archives), which provides humanities researchers digital tools for search, browsing, and text mining of digital archives in any domain or language, within a single system. Samtla supersedes many of the existing tools for humanities researchers, by supporting the same or similar functionality of the systems, but with a domain-independent and languageindependent approach. The functionality includes a browsing tool constructed from the metadata and named entities extracted from the document text, a hybrid-recommendation system for recommending related queries and documents. However, some tools are novel tools and developed in response to the specific needs of the researchers, such as the document comparison tool for visualising shared sequences between groups of related documents. Furthermore, Samtla is the first practical example of a system with a SLM as its primary data model that supports the real research needs of several case studies covering different areas of research in the humanities.
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RAYAPROLU, SRINIVAS. "USING COM OBJECTS PROGRAMMING FOR ENHANCED LIBRARY SEARCH APPLICATIONS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1029441248.

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Dubey, Anshul. "Search and Analysis of the Sequence Space of a Protein Using Computational Tools." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14115.

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A new approach to the process of Directed Evolution is proposed, which utilizes different machine learning algorithms. Directed Evolution is a process of improving a protein for catalytic purposes by introducing random mutations in its sequence to create variants. Through these mutations, Directed Evolution explores the sequence space, which is defined as all the possible sequences for a given number of amino acids. Each variant sequence is divided into one of two classes, positive or negative, according to their activity or stability. By employing machine learning algorithms for feature selection on the sequence of these variants of the protein, attributes or amino acids in its sequence important for the classification into positive or negative, can be identified. Support Vector Machines (SVMs) were utilized to identify the important individual amino acids for any protein, which have to be preserved to maintain its activity. The results for the case of beta-lactamase show that such residues can be identified with high accuracy while using a small number of variant sequences. Another class of machine learning problems, Boolean Learning, was used to extend this approach to identifying interactions between the different amino acids in a proteins sequence using the variant sequences. It was shown through simulations that such interactions can be identified for any protein with a reasonable number of variant sequences. For experimental verification of this approach, two fluorescent proteins, mRFP and DsRed, were used to generate variants, which were screened for fluorescence. Using Boolean Learning, an interacting pair was identified, which was shown to be important for the fluorescence. It was also shown through experiments and simulations that knowing such pairs can increase the fraction active variants in the library. A Boolean Learning algorithm was also developed for this application, which can learn Boolean functions from data in the presence of classification noise.
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Wormet, Jody R. "Federated Search Tools in Fusion Centers : Bridging Databases in the Information Sharing Environment." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17480.

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This research utilized a semi-structured survey instrument delivered to subject matter experts within the national network of fusion centers and employed a constant comparison method to analyze the survey results. This smart practice exploration informed through an appreciative inquiry lens found considerable variation in how fusion centers plan for, gather requirements, select and acquire federated search tools to bridge disparate databases. These findings confirmed the initial hypothesis that fusion centers have received very little guidance on how to bridge disconnected databases to enhance the analytical process. This research should contribute to the literature by offering a greater understanding of the challenges faced by fusion centers, when considering integrating federated search tools; by evaluating the importance of the planning, requirements gathering, selection and acquisition processes for integrating federated search tools; by acknowledging the challenges faced by some fusion centers during these integration processes; and identifying possible solutions to mitigate those challenges. As a result, the research will be useful to individual fusion centers and more broadly, the National Fusion Center Association, which provides leadership to the national network of fusion centers by sharing lessons learned, smart practices, and other policy guidance.
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Books on the topic "Search tools"

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Search & rescue tools. Minneapolis, Minn: ABDO Pub. Company, 2014.

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Ercegovac, Zorana. Information literacy: Search strategies, tools & resources. Los Angeles, Calif: InfoEN Associates, 1998.

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Farnham, Alexander. Search for early New Jersey toolmakers. Stockton, N.J: Kingwood Studio Publications, 1992.

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E, Rosch Mark, ed. Google for lawyers: Essential search tips and productivity tools. Chicago, Ill: Law Practice Management Section, American Bar Association, 2010.

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Information literacy: Search strategies, tools & resources for high school students. Worthington, Ohio: Linworth Pub., 2001.

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Randolph, Ryan P. New research techniques: Getting the most out of search engine tools. New York: Rosen Central, 2011.

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Davis, Harold. Building Research Tools with Google For Dummies. New York: John Wiley & Sons, Ltd., 2005.

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Davis, Harold. Building research tools with Google for dummies. Indianapolis, Ind: Wiley, 2005.

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McFarlane, Nigel. Firefox Hacks: Tips & Tools for Next-Generation Web Browsing. Beijing: O'Reilly Media, 2005.

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Firefox hacks: Tips & tools for next-generation web browsing. Sebastopol, CA: O'Reilly Media, 2005.

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Book chapters on the topic "Search tools"

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Umemoto, Kazutoshi, Takehiro Yamamoto, and Katsumi Tanaka. "Search Support Tools." In Human–Computer Interaction Series, 139–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38825-6_8.

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Brambilla, Marco, and Luca Tettamanti. "Tools Supporting Search Computing Application Development." In Search Computing, 169–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19668-3_16.

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Zoroa, Noemí, María-José Fernández-Sáez, and Procopio Zoroa. "Tools to Manage Search Games on Lattices." In Search Theory, 29–58. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6825-7_3.

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Hassan, Nihad A., and Rami Hijazi. "Search Engine Techniques." In Open Source Intelligence Methods and Tools, 127–201. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3213-2_4.

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Simonis, Helmut, and Abder Aggoun. "Search-Tree Visualisation." In Analysis and Visualization Tools for Constraint Programming, 191–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722311_8.

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Carro, Manuel, and Manuel Hermenegildo. "Tools for Search-Tree Visualisation: The APT Tool." In Analysis and Visualization Tools for Constraint Programming, 237–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722311_10.

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Wang, Xinyuan, Fanhao Zhang, Zhuoran Liu, Changsheng Zhang, Qidong Zhao, and Bin Zhang. "A Novel Multi-objective Squirrel Search Algorithm: MOSSA." In Simulation Tools and Techniques, 180–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72795-6_15.

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Kelsey, Todd. "Explore Indexing and Webmaster Tools/Search Console." In Introduction to Search Engine Optimization, 97–109. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2851-7_7.

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Huang, Pengyu, Fuping Wu, Wei Wang, Haiyan Liu, and Qin Liu. "Finding Good Mobile Sink Information Collection Paths with Quicker Search Time: A Single-Particle Multi-dimensional Search Algorithm-Based Approach." In Simulation Tools and Techniques, 385–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72795-6_32.

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Hassan, Nihad A., and Rami Hijazi. "People Search Engines and Public Records." In Open Source Intelligence Methods and Tools, 261–84. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3213-2_6.

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Conference papers on the topic "Search tools"

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Pu, Pearl Huan Z., and Pratyush Kumar. "Evaluating example-based search tools." In the 5th ACM conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/988772.988804.

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Jones, Rosie, and Ted Drake. "Applications of open search tools." In the 19th international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1772690.1772926.

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Goutam, Rajesh Kumar. "Correlation Based Evaluation for Search Tools." In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2018. http://dx.doi.org/10.1109/spin.2018.8474041.

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Yahya, Adnan H., and Ali Y. Salhi. "Enhancement tools for Arabic web search." In 2011 International Conference on Innovations in Information Technology (IIT). IEEE, 2011. http://dx.doi.org/10.1109/innovations.2011.5893871.

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Wrigley, Stuart N., Dorothee Reinhard, Khadija Elbedweihy, Abraham Bernstein, and Fabio Ciravegna. "Methodology and campaign design for the evaluation of semantic search tools." In the 3rd International Semantic Search Workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1863879.1863889.

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Gage, Douglas W. "Randomized search strategies with imperfect sensors." In Optical Tools for Manufacturing and Advanced Automation, edited by William J. Wolfe and Wendell H. Chun. SPIE, 1994. http://dx.doi.org/10.1117/12.167503.

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Kniazev, Alexei Y. "A Search for PNe in Nearby Galaxies with SDSS Imaging Data." In PLANETARY NEBULAE AS ASTRONOMICAL TOOLS: International Conference on Planetary Nebulae as Astronomical Tools. AIP, 2005. http://dx.doi.org/10.1063/1.2146218.

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Alshuwaier, Faisal A., Waleed A. Almutairi, and Ali M. Areshey. "Smart Search Tools Using Named Entity Recognition." In 2013 International Conference on Information Technology and Applications (ITA). IEEE, 2013. http://dx.doi.org/10.1109/ita.2013.78.

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Huang, Jimmy Xiangji, Aijun An, and Qinmin Hu. "Medical search and classification tools for recommendation." In Proceeding of the 33rd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1835449.1835574.

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Wilcox, Lauren, Steven Feiner, Noemie Elhadad, David Vawdrey, and Tran Tran. "Patient-Centered Tools for Medication Information Search." In 8th International Conference on Pervasive Computing Technologies for Healthcare. ICST, 2014. http://dx.doi.org/10.4108/icst.pervasivehealth.2014.254975.

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Reports on the topic "Search tools"

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Saulibio, Myles V. Internet Resource Search Tools - Analyses and Assessment. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada324029.

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Paynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, Eileen Erinoff, Robin Featherstone, Christiane Voisin, and Gaelen P. Adam. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.

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Background: In an era of explosive growth in biomedical evidence, improving systematic review (SR) search processes is increasingly critical. Text-mining tools (TMTs) are a potentially powerful resource to improve and streamline search strategy development. Two types of TMTs are especially of interest to searchers: word frequency (useful for identifying most used keyword terms, e.g., PubReminer) and clustering (visualizing common themes, e.g., Carrot2). Objectives: The objectives of this study were to compare the benefits and trade-offs of searches with and without the use of TMTs for evidence synthesis products in real world settings. Specific questions included: (1) Do TMTs decrease the time spent developing search strategies? (2) How do TMTs affect the sensitivity and yield of searches? (3) Do TMTs identify groups of records that can be safely excluded in the search evaluation step? (4) Does the complexity of a systematic review topic affect TMT performance? In addition to quantitative data, we collected librarians' comments on their experiences using TMTs to explore when and how these new tools may be useful in systematic review search¬¬ creation. Methods: In this prospective comparative study, we included seven SR projects, and classified them into simple or complex topics. The project librarian used conventional “usual practice” (UP) methods to create the MEDLINE search strategy, while a paired TMT librarian simultaneously and independently created a search strategy using a variety of TMTs. TMT librarians could choose one or more freely available TMTs per category from a pre-selected list in each of three categories: (1) keyword/phrase tools: AntConc, PubReMiner; (2) subject term tools: MeSH on Demand, PubReMiner, Yale MeSH Analyzer; and (3) strategy evaluation tools: Carrot2, VOSviewer. We collected results from both MEDLINE searches (with and without TMTs), coded every citation’s origin (UP or TMT respectively), deduplicated them, and then sent the citation library to the review team for screening. When the draft report was submitted, we used the final list of included citations to calculate the sensitivity, precision, and number-needed-to-read for each search (with and without TMTs). Separately, we tracked the time spent on various aspects of search creation by each librarian. Simple and complex topics were analyzed separately to provide insight into whether TMTs could be more useful for one type of topic or another. Results: Across all reviews, UP searches seemed to perform better than TMT, but because of the small sample size, none of these differences was statistically significant. UP searches were slightly more sensitive (92% [95% confidence intervals (CI) 85–99%]) than TMT searches (84.9% [95% CI 74.4–95.4%]). The mean number-needed-to-read was 83 (SD 34) for UP and 90 (SD 68) for TMT. Keyword and subject term development using TMTs generally took less time than those developed using UP alone. The average total time was 12 hours (SD 8) to create a complete search strategy by UP librarians, and 5 hours (SD 2) for the TMT librarians. TMTs neither affected search evaluation time nor improved identification of exclusion concepts (irrelevant records) that can be safely removed from the search set. Conclusion: Across all reviews but one, TMT searches were less sensitive than UP searches. For simple SR topics (i.e., single indication–single drug), TMT searches were slightly less sensitive, but reduced time spent in search design. For complex SR topics (e.g., multicomponent interventions), TMT searches were less sensitive than UP searches; nevertheless, in complex reviews, they identified unique eligible citations not found by the UP searches. TMT searches also reduced time spent in search strategy development. For all evidence synthesis types, TMT searches may be more efficient in reviews where comprehensiveness is not paramount, or as an adjunct to UP for evidence syntheses, because they can identify unique includable citations. If TMTs were easier to learn and use, their utility would be increased.
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Herzer, John A., and Pengchu Zhang. The Bird project: Using Big Data tools to support Search Analytics. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1505412.

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Paulins, V. Ann, Julie L. Hillery, and Aaron Sturgill. Using Personal Mission Statements and Codes of Ethics as Career Search Tools. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-64.

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Cunha Da Silva, Alice. Summary Report for the SINBAD Search Tool Project. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1050340.

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Beveridge, J. R., Christopher Graves, and Christopher E. Lesher. Local Search as a Tool for Horizon Line Matching. Fort Belvoir, VA: Defense Technical Information Center, December 1995. http://dx.doi.org/10.21236/ada308540.

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Nodine, Calvin F. Computer-Assisted Visual Search/Decision Aids as a Training Tool for Mammography. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada396613.

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Nodine, Calvin. Computer-Assisted Visual Search/Decision Aids as a Training Tool for Mammography. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada374215.

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Nodine, Calvin. Computer-Assisted Visual Search/Decision Aids as a Training Tool for Mammography. Fort Belvoir, VA: Defense Technical Information Center, July 1998. http://dx.doi.org/10.21236/ada358072.

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Dy, Sydney M., Julie M. Waldfogel, Danetta H. Sloan, Valerie Cotter, Susan Hannum, JaAlah-Ai Heughan, Linda Chyr, et al. Integrating Palliative Care in Ambulatory Care of Noncancer Serious Chronic Illness: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), February 2020. http://dx.doi.org/10.23970/ahrqepccer237.

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Objectives. To evaluate availability, effectiveness, and implementation of interventions for integrating palliative care into ambulatory care for U.S.-based adults with serious life-threatening chronic illness or conditions other than cancer and their caregivers We evaluated interventions addressing identification of patients, patient and caregiver education, shared decision-making tools, clinician education, and models of care. Data sources. We searched key U.S. national websites (March 2020) and PubMed®, CINAHL®, and the Cochrane Central Register of Controlled Trials (through May 2020). We also engaged Key Informants. Review methods. We completed a mixed-methods review; we sought, synthesized, and integrated Web resources; quantitative, qualitative and mixed-methods studies; and input from patient/caregiver and clinician/stakeholder Key Informants. Two reviewers screened websites and search results, abstracted data, assessed risk of bias or study quality, and graded strength of evidence (SOE) for key outcomes: health-related quality of life, patient overall symptom burden, patient depressive symptom scores, patient and caregiver satisfaction, and advance directive documentation. We performed meta-analyses when appropriate. Results. We included 46 Web resources, 20 quantitative effectiveness studies, and 16 qualitative implementation studies across primary care and specialty populations. Various prediction models, tools, and triggers to identify patients are available, but none were evaluated for effectiveness or implementation. Numerous patient and caregiver education tools are available, but none were evaluated for effectiveness or implementation. All of the shared decision-making tools addressed advance care planning; these tools may increase patient satisfaction and advance directive documentation compared with usual care (SOE: low). Patients and caregivers prefer advance care planning discussions grounded in patient and caregiver experiences with individualized timing. Although numerous education and training resources for nonpalliative care clinicians are available, we were unable to draw conclusions about implementation, and none have been evaluated for effectiveness. The models evaluated for integrating palliative care were not more effective than usual care for improving health-related quality of life or patient depressive symptom scores (SOE: moderate) and may have little to no effect on increasing patient satisfaction or decreasing overall symptom burden (SOE: low), but models for integrating palliative care were effective for increasing advance directive documentation (SOE: moderate). Multimodal interventions may have little to no effect on increasing advance directive documentation (SOE: low) and other graded outcomes were not assessed. For utilization, models for integrating palliative care were not found to be more effective than usual care for decreasing hospitalizations; we were unable to draw conclusions about most other aspects of utilization or cost and resource use. We were unable to draw conclusions about caregiver satisfaction or specific characteristics of models for integrating palliative care. Patient preferences for appropriate timing of palliative care varied; costs, additional visits, and travel were seen as barriers to implementation. Conclusions. For integrating palliative care into ambulatory care for serious illness and conditions other than cancer, advance care planning shared decision-making tools and palliative care models were the most widely evaluated interventions and may be effective for improving only a few outcomes. More research is needed, particularly on identification of patients for these interventions; education for patients, caregivers, and clinicians; shared decision-making tools beyond advance care planning and advance directive completion; and specific components, characteristics, and implementation factors in models for integrating palliative care into ambulatory care.
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