Specific Search Engine Research Articles

Promoting Agriculture Knowledge via Public Web Search Engines: An Experience by an Iranian Librarian in Response to Agricultural Queries

Although the Internet is already becoming a valuable information resource in information retrieving, there are important challenges before agricultural interest groups and users for extensive accessing to this information. Indeed, there is a couple of specific search engines, directories and sites in agricultural subject domain on the web, but it seems the major public search engines could be able to response the scientific field requests as well. This paper aims to determine whether this fact is true in agricultural field domain or not? We are comparing and measuring five major public search engines in response to agricultural requests. This research examines major search engines in response to agricultural terminologies. In order to assess the recall, precision and overlap of search engines, five well-used search engines (Google, Yahoo, AltaVista, AOL, ASK) were chosen. Then five agricultural keywords which selected from CAB (consist of: Intercropping, Carnivorous plants, Soil pollution, Plant viruses, Irrigation farming) were searched in each these search engines. The best search engines in answer to the subject terms are introduced. AOL had 63% precision and 22% recall and retrieved the most relevant agricultural documents. Also, Yahoo had 43% overlap with other search engines, so Yahoo also scored the highest rank. Through this study, findings reveal that major public search engines are suitable alternative for finding agricultural information. The results of this study can also inform agricultural centers, agricultural Information Specialists and agricultural interest groups (users) seek better agricultural resources. This research is an investigation into web search engines’ recall, precision, and overlap using agricultural queries, sheds light on the uniqueness of top results retrieved by search engines. In other words, this paper indicates the signifi cant value of search engines in web retrieval even in expert areas. Search engines, recall ratio, precision ratio, overlap, agricultural information, information retrieval.

TRIP Database 2.0: A Manually Curated Information Hub for Accessing TRP Channel Interaction Network

Transient receptor potential (TRP) channels are a family of Ca2+-permeable cation channels that play a crucial role in biological and disease processes. To advance TRP channel research, we previously created the TRIP (TRansient receptor potential channel-Interacting Protein) Database, a manually curated database that compiles scattered information on TRP channel protein-protein interactions (PPIs). However, the database needs to be improved for information accessibility and data utilization. Here, we present the TRIP Database 2.0 (http://www.trpchannel.org) in which many helpful, user-friendly web interfaces have been developed to facilitate knowledge acquisition and inspire new approaches to studying TRP channel functions: 1) the PPI information found in the supplementary data of referred articles was curated; 2) the PPI summary matrix enables users to intuitively grasp overall PPI information; 3) the search capability has been expanded to retrieve information from ‘PubMed’ and ‘PIE the search’ (a specialized search engine for PPI-related articles); and 4) the PPI data are available as sif files for network visualization and analysis using ‘Cytoscape’. Therefore, our TRIP Database 2.0 is an information hub that works toward advancing data-driven TRP channel research.

Bird in the Hand: An Electronic Field Guide App for Bird Watchers

This article documents the design and implementation of an electronic field guide for bird watchers-named RB Birds-developed to run on mobile smart phones and aimed at looking up, checking, and identifying 362 bird species that are encountered at the Rio Blanco Ecological Reserve, "which is located on the outskirts of Manizales, Colombia. This application package has a database that contains information corresponding to each species including images, songs, physical descriptions, feeding habits, migratory movements in time and space, and habitat requirements, among others. RB Birds has a specialized search engine that allows the identification of specimens based on observed physical attributes.

Next-Generation Piracy: How Search Engines Will Destroy the Music Business

This Comment seeks to address the problems that search engines create for the music business in our ever-evolving digital society. Piracy costs are now measured in billions, encompassing lost revenue and job cutbacks. As the world becomes even more dependent on the Internet for entertainment, piracy can only get worse. Although in the United States piracy has been addressed with respect to P2P file sharing services, record companies are coming upon an era where search engines will enable effective, quick, and simple piracy. This evolution has already taken hold in China, a country where 99 percent of music files are estimated to be pirated, and copyright infringement is as easy as typing a song name into a specialized search engine. The problem is slowly starting to be felt domestically. Although Supreme Court precedents have addressed the issues of P2P file sharing, current statutes and decisions are unequipped to deal with the next generation of search engines. This Comment argues that although search engines might be held responsible for some of their contributions to piracy through the court system, ultimately, the fundamentals which make up the business model of music companies must change. Statutes, court decisions, and society are comfortable allowing an open and unrestricted Internet, ensuring that search engine capabilities will not be curbed As the digital age progresses, recording companies will bleed money until they are faced with a choice: adapt or die. This Comment proposes that to survive, recording companies must delve deep into alternative revenue streams, leaving behind their pursuit of pure music in the process. Ultimately, pure music as an art form will vanish.

Modelos de rehabilitación en atención primaria y comunitaria. Revisión bibliográfica

This article discusses the various tendencies and models for providing rehabilitation services in primary care through a review of the literature published in the past 30 years.A literature search was conducted using PubMed, CINAHL and MEDLINE, as well as grey literature and less specific search engines. The most relevant articles were selected.The following key models for providing rehabilitation in primary care are presented: the physiatrist as a general practitioner for the disabled; integrating rehabilitation in primary care services (clinical model, outreach, self-management, community-based rehabilitation, case management, and shared care); models for integrating the community; and the World Health Organization's proposal for a community-based model.

DRUMS: A human disease related unique gene mutation search engine

With the completion of the human genome project and the development of new methods for gene variant detection, the integration of mutation data and its phenotypic consequences has become more important than ever. Among all available resources, locus-specific databases (LSDBs) curate one or more specific genes' mutation data along with high-quality phenotypes. Although some genotype-phenotype data from LSDB have been integrated into central databases little effort has been made to integrate all these data by a search engine approach. In this work, we have developed disease related unique gene mutation search engine (DRUMS), a search engine for human disease related unique gene mutation as a convenient tool for biologists or physicians to retrieve gene variant and related phenotype information. Gene variant and phenotype information were stored in a gene-centred relational database. Moreover, the relationships between mutations and diseases were indexed by the uniform resource identifier from LSDB, or another central database. By querying DRUMS, users can access the most popular mutation databases under one interface. DRUMS could be treated as a domain specific search engine. By using web crawling, indexing, and searching technologies, it provides a competitively efficient interface for searching and retrieving mutation data and their relationships to diseases. The present system is freely accessible at http://www.scbit.org/glif/new/drums/index.html.

An improved Web search engine for visually impaired users

The Google search engine was studied as a Web prototype to be modified and improved for blind users. A Specialized Search Engine for the Blind (SSEB) was developed with an accessible interface and improved functions (searching assistance functions, user-centered functions, and specialized design for the blind). An experiment was conducted with twelve participants, both blind and sighted, to verify the effects of SSEB. The performance was better with the SSEB than with the Google search engine, and the participants also showed higher satisfactions with the SSEB. Interface considerations for designing an accessible Web site for blind users are important. The users of SSEB could in the future be expanded to include most, if not all, visually impaired people, since the World Wide Web and all Internet resources should ideally be accessible to everyone.

Towards a Specialized Search Engine for Language Learners [Point of View

The internet serves a paradoxical role in language learning. Providing a fertile ground for neologisms and redefinitions, the web incubates a growing translation gap between one's native tongue and his or her target foreign language. However, the internet can also be used to bridge languages even as they change, because it contains a vast and ever expanding set of human-translated web pages. In this paper, we propose that search engines that mine high-quality human translations can unlock the Web's pedagogical potential, and form the basis for next-generation language learning tools. We introduce Engkoo, an English learning search engine for Chinese speakers, to demonstrate the effectiveness of this concept in practice.

Search Behaviours of Image Users: A Pilot Study on Museum Objects

Many factors can overwhelm the image searcher who is trying to retrieve images. Consequently, retrieving images is still a problem for the majority of individuals, especially for images associated with text written in different languages, unknown to users. The purpose of this exploratory study is to investigate the factors affecting search behaviours of image users and to examine how individuals formulate their queries to retrieve museum object images indexed in different languages, using different search engines. This study also compared the search behaviours using different types of search engines to retrieve specific museum object images. It also highlighted how multilingual search functionalities are perceived and used when performing an image search task in a multilingual retrieval context. Thirty participants randomly divided into three independent groups assigned to one different search engine was used for this study. Each participant was asked to retrieve three mages using an all-purpose search engine and a specialized search engine. Once the retrieval of the images was completed, the participants filled out a questionnaire to gather comments on the retrieval tasks they performed and information on their search behaviours of Web images indexed in different languages. Multilingualism plays a strategic role in the quality and effectiveness of communication services offered on the Internet. Consequently, it is of significant importance to make information available to the largest audience possible and to overcome language barriers by providing tools suited to the real and current needs of image searchers. The main contribution of this pilot study is to enhance the knowledge and understanding of image searching behaviour, in order to provide a basis for the modelling of a new search interface that takes into account the needs and expectations of real users.

Medical record: systematic centralization versus secure on demand aggregation

BackgroundAs patients often see the data of their medical histories scattered among various medical records hosted in several health-care establishments, the purpose of our multidisciplinary study was to define a pragmatic and secure on-demand based system able to gather this information, with no risk of breaching confidentiality, and to relay it to a medical professional who asked for the information via a specific search engine.MethodsScattered data are often heterogeneous, which makes the task of gathering information very hard. Two methods can be compared: trying to solve the problem by standardizing and centralizing all the information about every patient in a single Medical Record system or trying to use the data "as is" and find a way to obtain the most complete and the most accurate information. Given the failure of the first approach, due to the lack of standardization or privacy and security problems, for example, we propose an alternative that relies on the current state of affairs: an on-demand system, using a specific search engine that is able to retrieve information from the different medical records of a single patient.ResultsWe describe the function of Medical Record Search Engines (MRSE), which are able to retrieve all the available information regarding a patient who has been hospitalized in different hospitals and to provide this information to health professionals upon request. MRSEs use pseudonymized patient identities and thus never have access to the patient's identity. However, though the system would be easy to implement as it by-passes many of the difficulties associated with a centralized architecture, the health professional would have to validate the information, i.e. read all of the information and create his own synthesis and possibly reject extra data, which could be a drawback. We thus propose various feasible improvements, based on the implementation of several tools in our on-demand based system.ConclusionsA system that gathers all of the currently available information regarding a patient on the request of health-care professionals could be of great interest. This low-cost pragmatic alternative to centralized medical records could be developed quickly and easily. It could also be designed to include extra features and should thus be considered by health authorities.

Understanding the discipline of web content strategy

Understanding the discipline of web content strategy

Information search behaviour in the German Education Index

This paper presents results from an analysis of user interactions in the German Education Index (GEI) specialized search engine. The main interest of this study is to gain insight into the GEI users’ typical search behaviour to identify optimization potential for the further development of the GEI search engine. Based on a sample of query logfiles, our study reveals that the users apply advanced search functionalities and query reformulation tactics adequately, though not frequently, and that more support in their application might increase the effectiveness of searches in the GEI.

A constrained crawling approach and its application to a specialised search engine

In this paper, we present an approach to crawl and parse websites based on their logical structure rather than on an aleatory exploration method. In this approach, we use a set of constraints to identify web pages and their components. To enforce these constraints, we present a set of primitives that rely on predicate verification. Our model has the attractiveness of being flexible to reflect tree-like logical structures of websites, thus it avoids the need to use complex information analysis and content classification techniques. Furthermore, because the model is implemented as a domain specific language (DSL), describing crawling tasks is straightforward. Using this DSL, we developed and deployed a prototype of dynamic web application with full-text search capabilities that periodically crawls, parses, and analyses the content of selected online newspapers. A set of experiments, and comparisons highlight the effectiveness of the proposed crawling approach.

La recuperación de información y la traducción: hitos en el proceso de globalización

La información en sus diversas modalidades tanto la científica como la humanística y, en concreto, el proceso intercultural de la traducción, son analizados como hitos que integrados en un modelo de análisis permiten clarificar el proceso mundial de la globalización. No es posible pensar en el desarrollo global sin considerar la recepción y producción por las sociedades occidentales del proceso informativo y traductológico. Ítem más las traducciones como bien indicó Itama Ben-Zohar son indicadores naturales del proceso de recepción e interconexión entre diversas culturas; y de ahí la necesidad de generar modelos de recuperación especializados en lugar de motores de búsquedas no especializados.

XComb: A Cross-Linked Peptide Database Approach to Protein−Protein Interaction Analysis

We developed an informatic method to identify tandem mass spectra composed of chemically cross-linked peptides from those of linear peptides and to assign sequence to each of the two unique peptide sequences. For a given set of proteins the key software tool, xComb, combs through all theoretically feasible cross-linked peptides to create a database consisting of a subset of all combinations represented as peptide FASTA files. The xComb library of select theoretical cross-linked peptides may then be used as a database that is examined by a standard proteomic search engine to match tandem mass spectral data sets to identify cross-linked peptides. The database search may be conducted against as many as 50 proteins with a number of common proteomic search engines, e.g. Phenyx, Sequest, OMSSA, Mascot and X!Tandem. By searching against a peptide library of linearized, cross-linked peptides, rather than a linearized protein library, search times are decreased and the process is decoupled from any specific search engine. A further benefit of decoupling from the search engine is that protein cross-linking studies may be conducted with readily available informatics tools for which scoring routines already exist within the proteomic community.

Educational treasures in Radiology: A highly customizable Radiology specific literature search engine

This article focuses on PubRad (www.pubrad.org) - a custom defined and Radiology targeted medical literature search software which can be used in multiple ways to adjust to the individual user's needs. PubRad can be used from its website, from the user's desktop, it can be implemented into the user's own website or can be even integrated into third party programs.

ORGANISM SPECIFIC BLAST WEB-BASED SEARCH ENGINE — A FRAMEWORK OF NUCLEOTIDE SIMILARITY ANALYSIS

The gene sequences BLAST and its alignment is the common and important step in biological discovery. Basically speaking, BLAST technique is already a mature and well-known to biological scientists, but aiming at specific organisms is seldom seen in world-wide databases. In this study, we develop a web-based organism specific BLAST search engine to replenish researchers' use. This study constructed a web service, the Organism Specific Search Engine, for taxonomy scientists and all users concerned. This service provides most common specific organism BLAST, scoring system and GUI (Graphical User Interface) for users. On the other hand, researchers can clearly and concisely get the results from E-mail service in order to avoid waiting for a long time. The Organism Specific Search Engine evaluate the similarities between two or more nucleotide or protein sequences against a specific organism, which can help researchers realize the differences between one chosen organism rapidly. Users can apply this information more easily and directly than taking from NCBI or other famous database system. Furthermore, this system will update its database from NCBI website automatically, which can catch up its new and correct databases. Notably, the website is freely available at .

Utilization of a Radiology-Centric Search Engine

Internet-based search engines have become a significant component of medical practice. Physicians increasingly rely on information available from search engines as a means to improve patient care, provide better education, and enhance research. Specialized search engines have emerged to more efficiently meet the needs of physicians. Details about the ways in which radiologists utilize search engines have not been documented. The authors categorized every 25th search query in a radiology-centric vertical search engine by radiologic subspecialty, imaging modality, geographic location of access, time of day, use of abbreviations, misspellings, and search language. Musculoskeletal and neurologic imagings were the most frequently searched subspecialties. The least frequently searched were breast imaging, pediatric imaging, and nuclear medicine. Magnetic resonance imaging and computed tomography were the most frequently searched modalities. A majority of searches were initiated in North America, but all continents were represented. Searches occurred 24 h/day in converted local times, with a majority occurring during the normal business day. Misspellings and abbreviations were common. Almost all searches were performed in English. Search engine utilization trends are likely to mirror trends in diagnostic imaging in the region from which searches originate. Internet searching appears to function as a real-time clinical decision-making tool, a research tool, and an educational resource. A more thorough understanding of search utilization patterns can be obtained by analyzing phrases as actually entered as well as the geographic location and time of origination. This knowledge may contribute to the development of more efficient and personalized search engines.

전문비서 정보활용 교육과정 개발을 위한 교육요구 분석 연구

The purpose of this study is to raise the importance of information literacy programs for professional secretaries and to present guidelines for organizing them. While the level of projects in secretaries` information service is defined as an influencing factor to the necessity of information literacy programs, the level of scholarships or secretarial science as a major is not. An analysis on education needs of secretaries recommended that curriculum should be composed of 15 topics such as: meta search engines, special search engines, boolean operators, digital libraries, usenet, information centers, internet reference sources, SDI, topic search request, document delivery service, e-journals, commercial databases, fulltext service, search strategy and general search engines.

Information Retrieval in Domain Specific Search Engine with Machine Learning Approaches

Information Retrieval in Domain Specific Search Engine with Machine Learning Approaches