8 Matching Annotations
  1. Jan 2019
    1. Sebaiknya, Kementerian Ristekdikti tidak hanya menjadikan kuantitas publikasi dan skor H-index Scopus sebagai tolak ukur keberhasilan program penelitian dan publikasi internasional. Kualitas artikel ilmiah yang diterbitkan oleh jurnal internasional bereputasi lebih bermakna. Untuk rekan sejawat dosen Indonesia, alangkah baiknya kita berlomba meningkatkan kualitas hasil penelitian dan publikasi ilmiah. Rentang waktu yang agak lama ketika proses revisi naskah ilmiah oleh para reviewer mari kita sikapi sebagai proses peningkatan kualitas saintifik kita.

      Saya masih setuju sampai sini. Untuk paragraf kedua, di sinilah peran preprint (atau versi pra cetak). Silahkan kirim ke jurnal manapun, tapi jangan lupa anda juga punya hak untuk mempublikasikannya seawal mungkin, tanpa ada batasan peninjauan sejawat. Manfaatkan hak itu.

      Aktivitas mengunggah preprint atau dokumen apapun ke media yang diindeks oleh mesin pencari (misal Google Scholar) akan menyebabkan seolah karya anda membengkak. Jangan khawatir. Kalau memang kegiatan anda banyak, ya wajar banyak dokumen yang dihasilkan. Mesin pencari atau pengindeks tugasnya menemukan dokumen itu saat kawan atau kolega anda mencari informasi. Itu saja tugas. Ia tidak bertugas memberikan skor atau nilai kepada dokumen anda. Jadi untuk apa memprotes seseorang yang terlalu banyak mengunggah dokumen daring. Lebih baik instrumen pengindeksnya saja yang dimatikan. Toh bukan itu tujuannya dibuat awalnya.

  2. Jul 2018
    1. Will ich ein Feld abfragen, das sich nicht auf der obersten Ebene der geschachtelten JSON-Daten befindet, muss ich es über den Pfad identifizieren, das heißt ich gebe die Felder an, in denen das Feld eingebettet ist. Beispielsweise professionOrOccupation.label in folgenden Daten

      Wodurch ist diese hierarchische Feldsuche möglich? bzw. Wie habt Ihr die hierarchischen JSON-Daten indexiert? So weit ich weiß, sind in den meisten Fällen die Daten in einem Lucene basierten Index flach, das scheint bei Euch nicht der Fall zu sein. Mich würden die Details der Indexierung interessieren, die die hierarchische Feldsuche ermöglichen. Dies ist möglicherweise auch für viele Anwendungsfälle in den DH interessant, wo hierarchische TEI-Strukturen vorhanden sind.

  3. Dec 2017
    1. The job doesn’t ever finish, it just takes breaks. Coffee breaks, lunch breaks, night breaks, weekend breaks.

      Going to work is analogous to passive indexing.

  4. Nov 2015
    1. Les représentants de la Bibliothèque nationale de France (BnF) annoncèrent leur objectif de ramener le délai de traitement des documents à six semaines en moyenne

      C’était long, en 2002! Où en est la BnF, aujourd’hui? D’une certaine façon, ce résumé semble prédire la venue des données, la fédération des catalogues, etc. Pourtant, il semble demeurer de nombreux obstacles, malgré tout ce temps. Et si on pouvait annoter le Web directement?

  5. Feb 2014
    1. Point 3 is almost certainly the one that still bugs Doug. All sorts of mechanisms and utilities are around and used (source code control, registries, WWW search engines, and on and on), but the problem of indexing and finding relevant information is tougher today than ever before, even on one's own hard disk, let alone the WWW.

      I would agree that "the problem of indexing and finding relevant information is tougher today than ever before" ... and especially "on one's own hard disk".

      Vannevar Bush recognized the problem of artificial systems of indexing long before McIlroy pulled this page from his typewriter in 1964, and here we are 50 years later using the same kind of filesystem indexing systems and wondering why it's harder than ever to find information on our own hard drives.

    2. 3. Our library filing scheme should allow for rather general indexing, responsibility, generations, data path switching.
    1. The real heart of the matter of selection, however, goes deeper than a lag in the adoption of mechanisms by libraries, or a lack of development of devices for their use. Our ineptitude in getting at the record is largely caused by the artificiality of systems of indexing. When data of any sort are placed in storage, they are filed alphabetically or numerically, and information is found (when it is) by tracing it down from subclass to subclass. It can be in only one place, unless duplicates are used; one has to have rules as to which path will locate it, and the rules are cumbersome. Having found one item, moreover, one has to emerge from the system and re-enter on a new path. The human mind does not work that way. It operates by association. With one item in its grasp, it snaps instantly to the next that is suggested by the association of thoughts, in accordance with some intricate web of trails carried by the cells of the brain. It has other characteristics, of course; trails that are not frequently followed are prone to fade, items are not fully permanent, memory is transitory. Yet the speed of action, the intricacy of trails, the detail of mental pictures, is awe-inspiring beyond all else in nature.

      With the advent of Google Docs we're finally moving away from the archaic indexing mentioned here. The filesystem metaphor was simple and dominated how everyone manages their data-- which extended into how we developed web content, as well.

      The declaration that Hierarchical File Systems are Dead has led to better systems of tagging and search, but we're still far from where we need to be since there is still a heavy focus on the document as a whole instead of also the content within the document.

      The linearity of printed books is even more treacherously entrenched in our minds than the classification systems used by libraries to store those books.

      One day maybe we'll liberate every piece of content from every layer of its concentric cages: artificial systems of indexing, books, web pages, paragraphs, even sentences and words themselves. Only then will we be able to re-dress those thoughts automatically into those familiar and comforting forms that keep our thoughts caged.

    2. It affords an immediate step, however, to associative indexing, the basic idea of which is a provision whereby any item may be caused at will to select immediately and automatically another. This is the essential feature of the memex. The process of tying two items together is the important thing.

      The essential feature of the memex is its ability of association; tying two items together.