repositori akses terbuka di indonesia (pdf)
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Repositori Akses Terbuka di IndonesiaIsmail Fahmi, PhD.InisiatorIndonesia OneSearch (IOS)[email protected]
Lokakarya Nasional PDII LIPI10 Agustus 2016
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1992 – 2007 S1, Teknik Elektro, ITB2003 – 2004 S2, Computational Linguistics, Universitas Groningen, Belanda2004 – 2009 S3, Computational Linguistics, Universitas Groningen, Belanda
2000 – 2003 Inisiator IndonesiaDLN (Digital Library Network pertama di Indonesia)Mengembangkan Ganesha Digital Library (GDL)Mendirikan Knowledge Management Research Group (KMRG) ITBMembangun Digital Library ITB
2009 – Sekarang Engineer di Weborama, Perusahaan berbasis big data (Paris/Amsterdam)2012 – Sekarang Co-Founder Awesometrics, Media Monitoring & Analytics Company2014 – Sekarang Founder PT. Media Kernels Indonesia, a Natural Language Processing Company2015 – Sekarang Konsultan Perpustakaan Nasional, Inisiator Indonesia OneSearch
Ismail Fahmi, [email protected]
Agenda
•Manfaat Open Access•Pengumpulan Data•Metadata•Otomasi Pengolahan•Temu Kembali•Semantic Web•Copyright
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Jack Andraka15 tahun, USA
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Open Access Around The World
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Goal
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“To have a robust national open access repository
discovery system”
INDONESIADiscovery System
OAI Discovery System
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Merupakan sebuah
Indonesia OneSearch (IOS)
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Sumber Data: Perpustakaan
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Total:66.000+
* Sumber: Perpusnas 2016
Jenis Data
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Katalog Buku E-Journal Digital Repository Museum
Discontinued
Pengumpulan Data
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OAI-PMHa low-barrier interoperability framework
Standard Interoperability Protocol
~75% Repository di seluruh dunia ‘OAI-Compliant’
Skenario Harvesting
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Any Platforms – Any Collections
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Any Platforms Any Collections
Standard OAI-PMH
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Harvester Provider(Repository)
Request Verbs:• Identify• ListMetadataformats• ListSets• ListIdentifiers• ListRecords• GetRecord
https://www.openarchives.org/OAI/openarchivesprotocol.html
Semua Harus Mengikuti Standard
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http://an.oa.org/OAI-script? verb=ListRecords&
from=1998-01-15&set=physics:hep&metadataPrefix=oai_rfc1807
https://jurnal.uns.ac.id/index.php?journal=alchemy&page=oai&verb=ListRecords&
metadataPrefix=oai_dc badArguments:journal,page
https://www.openarchives.org/OAI/openarchivesprotocol.html
Metadata
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Paling banyak dimplementasikan(berdasarkan data Indonesia OneSearch):• MARC à marcxml• DC à oai_dc
http://an.oa.org/OAI-script? verb=ListRecords&metadataPrefix=oai_dc
http://an.oa.org/OAI-script? verb=ListRecords&metadataPrefix=marcxml
Metadata Harus Standard
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Semua platform software yang berbasis open sourceseperti OJS, Eprints, Dspace, dan Koha, sudah medukung dan comply dengan standard OAI-PMH dan metadata.
Software lokal cukup banyak yang tidak mendukung OAI-PMH, atau yang tidak comply.
SLIMS paling banyak digunakan di Indonesia, dan versi lama belum comply. Versi OAI-PMH untuk SLIMs dapat didownload di: http://wiki.onesearch.id/doku.php?id=oai-slims
Otomasi Pengolahan
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Valid?
Repository Admin Harvester AdminOAI Harvester & Index
PeriodicHarvesting
No Yes
Temu Kembali
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• Auto-Suggest• Relevancy Search• Faceting• Deduplication
Auto-Suggest
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Relevancy & Facet
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Sort by Relevancy, etc.
Facet
Duplicate Records
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Deduplication
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Sebelum Sesudah
Semantic Web
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Contoh: Semantic Search
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Fact Extraction
Fact Extraction
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Fact extractedfrom document
Fact Extraction dalam Medical
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Fact extractedfrom document
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Knowledge Graph
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Resource Description Framework (RDF)
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IOS: Fact Extraction
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Text Analysis
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Text Analysis is:• the process of
analyzing unstructured text,
• extracting relevant information
• and then transformingthat information into structured information
• that can be leveragedin different ways
Contoh: Tesis “Hak Ulayat”
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Contoh: Tesis dari UNDIP
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Fullteks tesis: 112 halamanBahasa: Indonesia
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S
P
O
Fact Graph
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Fact Graph
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Co-occurrence Analysis
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Open vs Closed Access
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Open vs Closed Access
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Contoh: Tesis dari UAJ
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Open Access: Enabling Innovation
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Tesis dari UNDIP Tesis dari UAJ
Text Analysis: Manfaat
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Semoga bisa menjadi dasarpemahaman:• interdisiplinaritas, • cross-disciplinarity, • transdisciplinarity, dan
multidisciplinarity
- Edda Priyanto – Dosen Ilmu Perpustakaan UGM
Open Access Copyright
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1. Authors sign a publishing agreement where they will have copyright but grant broad publishing and distribution rights to the publisher.
2. The author chooses an end user license under which readers can use and share the article.
3. The publisher makes the article available online with the author's choice of end user license.
Text Analysis: Open Access Licensing
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PDF, 55 pages, English
Knowledge Graph: Open Access
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People
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Road Map IOS
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Tahap 1 (2015): OneSearch Portal
OneSearch Portal (Bibliografi)
• Software Indonesia OneSearch
• Harvesting data bibliografi• Protokol standard OAI-PMH• Repository: Katalog buku,
Jurnal Online, Repositoridigital
Tahap 2 (2016-2017): Text Analysis
Text Analysis (Full Teks)
• Crawling fullteks (PDF) TA, tesis, disertasi, laporan penelitin, danartikel jurnal dari Intitusi di Indonesia.
• Text analysis menggunakanteknologi NLP (Natural Language Processing)
• Information Extraction & Knowledge Mapping berbasisNLP
• Research Mapping antar Institusi
Tahap 3 (2018-2020): Layanan Anti PlagiarismNo Plagiarism (Services)
• Sistem dan LayananNoPlagiarism untuk karyaberbahasa Indonesia.
• Sumber: Wikipedia (Bahasa Indonesia), Online News, TA, Tesis, Disertasi, artikel jurnal, laporan penelitian (open access)
• Layanan online plagiarism checking untuk mahasiswa danpeneliti di Indonesia
Kesimpulan
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• Open Access akan membantu mempercepat terjadinya INOVASI.
• Open Access Indonesia – Discovery System (OAI-DS), dibutuhkan untuk mengelola seluruh repositori Open Access dan seluruh jenis data (tidak terbatas pada e-jurnal).
• Indonesia OneSearch (IOS) adalah sebuah OAI-DS.• Text Analysis dan Fact Extraction dalam IOS merupakan
langkah awal membangun Knowledge Graph dari seluruh repositori Open Access di Indonesia.
