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Recommending Relevant Papers Using In-Text Citation Frequencies and Patterns

Thesis Info

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Author

Shahid, Abdul

Program

PhD

Institute

Capital University of Science & Technology

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/9702/1/Abdul_Shahid_Computer_Science_2016_CUST_Islamabad_10.05.2016.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727819982

Similar


Scientific publications are growing exponentially. For example, more than 50 million journal papers have been published till now, and more than 2 million journal papers are added to the scientific knowledge every year. The published conference papers are in billions, and millions others are added every year. The world famous scientific databases such as Web of Science, Scopus, and PubMed etc index millions of such scientific papers, and that also despite the fact that their index either belongs to specialized domain or it is selective. There is another comprehensive index known as Google Scholar, indexes huge scientific knowledge from different domains. These systems make available the scientific knowledge to researchers. The advancement in research is always possible by standing on the shoulders of others. However, when users attempt to identify relevant papers from the mentioned systems or other similar systems, they are given millions of papers and are asked to select the most relevant papers manually by skimming those millions of papers. This creates frustration, and generally all of the selected papers do not belong to the list of papers which the users must read. In this task, many important papers are overlooked by the users as well. The identification of relevant papers from such a big data has attracted a number of researchers across the globe to find solutions to this problem. The contemporary approaches use a variety of techniques for the identification of the relevant documents such as content based approaches, metadata based approaches, collaborative filtering based approaches, co-citation analysis, and bibliographic analysis etc. However, the state-of-the-art research lacks in many directions such as its inability to find the nature of relationship between scientific documents and its failure to find how strongly two scientific documents are linked up, based on their relationship strength. To address these issues, this thesis designs, implements, and evaluates a novel approach that facilitates researchers to identify the most relevant papers in their domains. The proposed approach identifies the most relevant papers from the list of cited-by papers for the cited paper. This thesis works on the in-text citation frequencies and in-text citation patterns to identify the most relevant papers. In-text citation frequency is the number of occurrences of citations of one paper in the text of the other paper. In-text citation frequency patterns are the in-text citation evidences in different sections of the paper. The system has been implemented as a prototype for 3 CiteSeer. The proposed system has been evaluated using a number of user studies. The proposed approach shows encouraging results and assists the scientific community to identify the most relevant papers from a huge list of papers.
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قائم دین

                قائم دین (افسانوی مجموعہ)

                قائم دین ناطق کا پہلا افسانوی مجموعہ ہے جسے 2010ء میں آکسفورڈ اور پھر 2018ء میں سانجھ پبلی کیشنز نے چھاپا یہ کتاب 128 صفحات پر مشتمل ہے اور اس کا انتساب افتخار عارف کے نام ہے۔یہاں  ہر ایک افسانے کا الگ الگ جائزہ پیش کرنا مشکل ہے۔

                مصنف مذکور نے مشاہدے کی کیا صورت حال  بیان کی ہے۔اس کا طرز بیان کیسا ہے اس کے مطابق یہ بتانا مقصود ہے کہ جہاں انہیں زبان پر عبور حاصل ہے وہاں ان کا طرز بیان بھی نہایت سادہ اور جلد سمجھ آجانے والا ہے۔قاری کو اپنی گرفت میں رکھتا ہے۔ قائم دین کے تمام افسانوں میں ان کا ایک خاص انداز تحریر ہیکہ قاری ایک ہی نشست میں تمام افسانے پڑھ لینا چاہتا ہے۔ ہر افسانہ اپنے اندر ایک منفرد کہانی رکھتا ہے،قاری افسانے میں پڑھنے والے واقعات کو اپنی زندگی کا حصہ سمجھتا ہے۔ظفر اقبال ناطق کے افسانوں پہ انھیں  داد دیتیہوئے لتین  ہیں کہ:

ہم تو جو ہیں جہاں سے آئے ہیں

آپ لیکن کہاں سے آئے ہیں

 

                ناطق کا کام دادکے قابل ہے جو انھیںدوسرے ادیبوں سے ممتاز کرتا ہے ہر افسانہ اپنے اندر ایک امتیازی وصف رکھتا ہے۔افسانوں میں موجود تمام کہانیاں حقیقت سے اس قدر قریب ہیں کہ قاری کو اپنی زندگی کا حصہ معلوم ہوتی ہیں۔

The Lung Mass and Nodule: A Case Series The Lung Mass and Nodule

Lung mass is an abnormal region of 3 cm or more in size present in the lungs mainly due to underlying pulmonary caner. It is usually round, opaque and poorly differentiated on X-ray. Common etiological key players are smoking, exposure to asbestos, radon, however, familial history may also play a role. We presented retrospectively7 cases of lung mass and nodule encountered during our clinical practice. We have discussed their clinical presentation, manifestation, medical history, radiological findings and differential diagnosis. In this case series, most of the patients were young, only 2 cases were older patients. There was one infant one month old, one female child 12 years old, one female 25 years, 2 males, 22 and 21 years, one male of 50 years and another male of 60 years age. Correct diagnosis on the basis of clinical profile, radiological findings and histology may help in proper management and hence, timely treatment of the patient

Molecular and Genetic Basis of Intellectual Disability in Pakistani Population

Intellectually disability is a genetically heterogeneous disorder that results due to impairment in development of nervous system. Intellectual disability is characterized by an IQ level below 70 and limitation in adaptive behaviors. Prevalence of intellectual disability is estimated 2-3% worldwide. In Pakistani population, prevalence of intellectual disability is higher than the average. Numerous factors contribute to the elevated prevalence. These include poor nutrition, deprived social-economic conditions, birth defects, and consanguinity. Genetic factors contributing to intellectual disability have not been studied comprehensively in Pakistani population. The present project was conducted at the Genetic Diseases Laboratory, Center of Excellence in Molecular Biology (CEMB), Lahore. The aim of study was to uncover genetic determinants of intellectual disability in local population. Thirty two families with multiple intellectually disabled patients are enrolled from various cities. Genetic analysis of these families to determine causative genetic variations, homozygosity mapping and next generation sequencing was performed. The results were further verified by in-silico tools and Sanger sequencing. Two families designated PKMR198 and PKMR 216 showed linkage to MRT23 and MRT9 respectively. Two families, PKMR 205 and PKMR 213, showed novel linkage at chromosome 13 and chromosome 1 respectively. Exome sequencing was utilized to find pathogenic DNA changes that have potential to cause intellectual disability. In three families recurrent mutations were found in reported genes for intellectual ability. PKMR29 showed segregation of recurrent mutation c.881A>G in POMT2. PKMR115 presented mutation c.57G>A in SRD5A3. In PKMR184, recurrent mutation c.5769delT was present in SPG11. Novel pathogenic variations were found in ten genes known to be involved in intellectual disability. These pathogenic variations were homozygous in affected individuals. In five families PKMR85, PKMR99, PKMR119, PKMR193 and PKMR133 novel pathogenic missense variations in MED23_c.506A>G, SYNE1_c.939G>C, PGAP1_c.2276A>G, ARL13B_c.599G>A and DOCK8_c.295G>A were segregated with intellectual disability respectively. In another three families PKMR79, PKMR212 and PKMR224 novel disease causing frameshifts variants AP4M1_c.1287delG, ZFYVE26_c.1630_1631delTC and MKKS_c.775delA showed segregation with intellectual disability respectively. One family PKMR102 segregates stop gain variation ASPM_c.3977G>A with microcephaly. A canonical splice site variation AP4S1_c.139-2A>G at splice acceptor site was found segregating with disease phenotype in family PKMR216. In addition, the results revealed pathogenic genetic variations in nine novel candidate genes. In four families PKMR153 PKMR174, PKMR195 and PKMR213 missense damaging variations GPAA1_c.527G>C, MEGF9_c.686G>A, WFDC1_c.634G>A and TMEM222_c.214G>A were segregated with the neurologic impairment. In four families PKMR64, PKMR200, PKMR206 and PKMR215 novel truncating disease causing variations CAPN12_c.658_659delAA, UBE2J2_c.77_78delAA, CCDC82_c.373delG and PUS7_c.89_90delCA showed segregation respectively. In PKMR72 a silent and splice site variation of MDGA2 (c.2232A>G) is segregating. All known and novel pathogenic variations were homozygous in intellectually disable patients and segregate with autosomal recessive inheritance. These findings further expand the existing repertoire of genes involved in ARID.