1,720,965 research outputs found
Evaluation of query reformulation strategies for domain-specific information searches: a case study of the durian fruit domain / Azilawati Azizan
Although search engine technologies have made great strides in helping users find information on the Web, search results are only as good as the keywords and phrases that users use in the search query. Hence, search queries need to precisely formulated. However, users often fail to accurately translate their information needs into correct query words or phrases for a search engine to utilize. This becomes harder when users search for domain-specific information as, in most cases, users are unable to identify the keywords that are appropriate for the domain in the search query. As such, the search engine is unable to locate the relevant documents. This causes users to reformulate the query multiple times in the hopes of retrieving a more relevant set of search results. To address this issue, many researchers propose the use of query reformulation, query refinement, query expansion, or query disambiguation to intentionally build better queries and retrieve more relevant results. However, most of strategies employed to tackle this issue; such as the query log, rhetorical structure, thesaurus, WordNet, ontology, and user profiles; require extensive sources, risky and are time consuming. Therefore, more effective and simpler techniques are needed to obtain better search results as well reduce the need of query reformulation (QR). To that end, this study applied a search engine framework which employs standard methodology in Information Retrieval (IR) to evaluate several reformulation strategies and proposes an operative and effective QR strategy to locate domain-specific information. The fruit domain; specifically, durian; was chosen as the case study. An investigation was first conducted to prove that the issues present at the time of the study as well as the selected domain were still pertinent. Several popular commercial search engines were examined to determine their current search performance in locating domain-specific information on the Web. A group of users was then selected to conduct a task-based search to examine how users structured their queries to obtain the search intent. The results indicated that the most popular search engine (Google) only had an average of P@10 score of 0.463 and mean average precision (MAP) score of 0.649 when searching for durian-related information. The results of the task-based search showed that 84.82% of users reformulate their queries, clearly indicating that users do not obtain relevant search results on the first few tries. As such, several QR strategies that may produce better search results were investigated. Nine strategies were examined by using features, such as query keywords, ontology, the characteristic category of the domain, and the domain name. These features were manipulated using techniques, such as ‘generalization’, ‘specification’, and ‘new’. Of the nine strategies examined, three outperformed the baseline. Combining query keywords with ontology significantly surpassed the baseline MAP score by 2.65%. More interestingly, the characteristic category of the domain, which is considerably simpler and easier to use, also outperformed the baseline MAP score by 2.63%. The findings of this study contribute to the field of IR, through the performance of search engines, user behaviour, test collection and reformulation strategies in searching for domain specific informati
Perwakilan pengetahuan menggunakan memory organization packets bagi sistem perancangan menu kesihatan / Nurkhairizan Khairudin and Azilawati Azizan
Perancangan menu yang sihat merupakan suatu tugasan yang penting bagi individu yang mempunyai masalah kesihatan terutamanya kepada pesakit diabetis disebabkan mereka perlu membuat perancangan menu dengan mempertimbangkan kekangan-kekangan seperti keperluan kalori yang konsisten dan juga makanan-makanan yang perlu dielakkan. Walaupun secara dasarnya pesakit-pesakit ini terdedah dengan pelbagai informasi tentang diet sihat, namun keupayaan untuk menghasilkan kombinasi makanan supaya berada dalam komposisi yang seimbang jarang boleh dilakukan oleh mereka yang tiada pengetahuan khusus tentang diet. Pada sesetengah kes, mereka sangat-sangat memerlukan nasihat dan panduan daripada pakar untuk mengikut diet yang telah dirancang berdasarkan kekangan-kekangan seperti keadaan kesihatan dan makanan kebiasaan harian. Merancang menu yang bersesuaian untuk individu yang mempunyai masalah kesihatan adalah tugas yang sukar kerana selesaian yang dihasikan oleh pakar pemakanan atau dietitian kebiasaannya adalah sangat subjektif dan sukar untuk diwakilkan dalam bentuk yang sistematik. Penyelidikan ini memberi fokus untuk merekabentuk satu model perwakilan pengetahuan yang akan digunakan untuk membangunkan pangkalan pengetahuan yang mengandungi kes-kes yang terdahulu. Pangkalan pengetahuan ini akan digunakan bagi tujuan proses capaian. Matlamat utama penyelidikan ini adalah untuk merekabentuk satu model rangkakerja untuk perwakilan pengetahuan dalam domain diet berdasarkan set petua, pengetahuan dan pengalaman yang dilalui oleh pakar. Memory Organization Packet atau MOP adalah pendekatan yang dicadangkan untuk digunakan bersama-sama dengan Sukatan Kesamaan (Similarity Measure) untuk tujuan proses pemadanan kes-kes baru dengan kes-kes lama. Penyelidikan ini juga akan menggunakan data sebenar yang dikumpulkan daripada Hospital Universiti Kebangsaan Malaysia(HUKM) dan keberkesanannya akan diuji menggunakan teknik-teknik pengujian yang telah ditetapkan
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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