OVIS

Ideograms for Sheep

ewe ideogramEwe (female sheep), OVISf
sheep ideogramSheep, OVIS, *106, phonetic syllable /QI/
ram ideogramRam (male sheep), OVISm1

1 alternately, castrated and uncastrated male sheep (Killen 1964, 3-4) or sheep of either sex (Killen 1964, 13f)

Sheep Inventories

Just Sheep

KN Da, KN Db, KN Dc, KN Dd, KN De, KN Df, KN Dg, KN Dm, KN Dn, KN Do, KN Dq, KN Dv, KN D

Sheep with LANA

KN Dh, KN Dk, KN Dl, KN Dp

Mixed Livestock

KN C, KN Ce

Mixed Commodities

PY Un

Sheep Adjuncts

O

Can be combined with adjunct KI.

Killen 1964: abbreviation for O-PE-RO deficit
Chadwick & Ventris 1973: abbreviation for O-PE-RO-ME-NO vel. sim.

KI

Can be combined with adjuncts O, NE, PE and ZA.

Killen 1964: young animal of either sex

NE


Can be combined with adjunct KI.

PA

Furumark 1954; Killen 1964: abbreviation for PA-RA-JO cf. παλαιοι old, marked for culling, intended as mutton
Sundwall 1956: not an abbreviation for PA-RA-JO

PE

Can be combined with adjunct KI.

Minutes of the London [Mycenaean] Seminar, Nov. 21st, 1962; Killen 1964: abbreviation for PE-RU-SI-NU-WO last year's

SE

ZA

Can be combined with adjunct KI.

References

Chadwick, John and Michael Ventris, 1973 Documents in Mycenaean Greek

Furumark, Arne, 1954 Eranos 52 "Ägäische Texte in griechischer Sprache"

Killen, J.T., 1964 British School at Athens (BSA) 59 "The Wool Industry of Crete in the Late Bronze Age"

Sundwall, Johannes, 1956 Societas Scientiarum Fennica, Commentationes Humanarum Litterarum 22 "Zur Buchführung im Palast von Knossos"

One Response to OVIS

  1. kiminoa says:

    I’ve been doing some data analysis related to the sign groups and adjuncts that most frequently appear in conjunction with OVIS on the Knossos tablets. Here’s what most frequently appears in the context of OVIS at Knossos (I’ve excluded single instance appearances; and please ignore the case sensitivity, it’s just an issue with my current set of data):

    [“O”, 154],
    [“(O)”, 6],
    [“o”, 3],
    => 163 instances

    [“LANA”, 92],
    [“LANA[“, 8],
    [“(LANA)[“, 6],
    => 106 instances

    [“KI”, 68],
    [“(KI)”, 3],
    => 71 instances

    [“PA”, 60],
    [“(PA)”, 6],
    => 66 instances

    [“PE”, 59],
    [“(PE)”, 3],
    => 62 instances

    [“KU-TA-TO”, 46],
    [“ku-ta-to”, 2],
    [“KU-TA-TO[“, 2],
    [“]KU-TA-TO”, 5],
    => 55 instances

    [“U-TA-JO”, 16],
    [“U-TA-JO-JO”, 18],
    [“]U-TA-JO-JO”, 2],
    [“(U)-TA-JO-JO”, 2],
    => 38 instances

    [“CAPf”, 16],
    [“CAPm”, 12],
    [“CAP”, 4],
    [“(CAPf)[“, 2],
    => 34 instances

    [“RU-KI-TO”, 26],
    [“(RU)-KI-TO”, 2],
    [“RU-KI-(TO)”, 3],
    => 31 instances

    [“E-KO-SO”, 26],
    [“]E-KO-SO”, 2],
    [“](E)-KO-SO”, 2],
    => 30 instances

    [“PA-I-TO”, 26],
    [“PA-I-TO[“, 2],
    => 28 instances

    [“X”, 24],
    [“(X)”, 2],
    => 26 instances

    [“DA-*22-TO”, 21],
    [“RA-TO”, 21],
    [“DA-WO”, 21],
    [“M”, 21],

    [“RI-JO-NO”, 19],

    [“*56-KO-WE”, 18],

    [“QA-RA”, 17],

    [“SU-RI-MO”, 15],
    [“SU-RI-MO[“, 2],
    => 17 instances

    [“TI-RI-TO”, 13],
    [“TI-RI-(TO)”, 2],
    [“](TI)-RI-TO”, 2],
    => 17 instances

    [“DO-TI-JA”, 16],
    [“WE-WE-SI-JO”, 16],

    [“RA-SU-TO”, 14],

    [“DA-MI-NI-JO”, 13],
    [“E-RA”, 13],
    [“WE-WE-SI-JO-JO”, 13],

    [“BOSm”, 4],
    [“BOSf”, 4],
    [“BOS”, 3],
    [“BOSm”, 2],
    => 13 instances

    [“TU-NI-JA”, 11],
    [“RA-JA”, 11],

    [“E-KA-RA-E-WE”, 10],
    [“A-KA”, 10],
    [“KI-RI-JO-TE”, 10],

    [“SUS”, 2],
    [“SUSm”, 2],
    [“SUSf”, 6],
    => 10 instances

    [“](RO)”, 9],

    [“DO-E-RO”, 7],
    [“(DO)-(E)-(RO)”, 2],
    => 9 instances

    [“SA-QA-RE-JO”, 8],
    [“A3-MI-RE-WE”, 8],
    [“A-TE-JO”, 8],

    [“U-TA-NO”, 7],
    [“PE-RI-QO-TE-JO”, 7],
    [“ZA”, 7],

    [“PA-RO”, 6],
    [“PU-NA-SO”, 6],
    [“O[“, 6],
    [“]O”, 6],

    [“]-JO”, 5],
    [“WE”, 5],
    [“TU-RI-SO”, 5],
    [“DA-RA-KO”, 5],
    [“PU-SO”, 5],
    [“NE”, 5],
    [“QA-MO”, 5],
    [“SE”, 5],
    [“]TO”, 5],
    [“]-TO”, 5],

    [“]KI”, 4],
    [“SI-JA-DU-WE”, 4],
    [“DI-RO”, 4],
    [“]NO”, 4],
    [“WI-NA-JO”, 4],
    [“]RA”, 4],
    [“](SE)”, 4],
    [“PO-TI-NI-JA-WE-JO”, 4],
    [“(O)[“, 4],
    [“SU-KI-RI-TA”, 4],
    [“]WO”, 4],
    [“A-NU-KO”, 4],

    [“KE-TO”, 3],
    [“A-KO-MO-NI-JO”, 3],
    [“PE-KO”, 3],
    [“A-RA-KO”, 3],
    [“SE-TO-I-JA”, 3],
    [“](PA)”, 3],
    [“WA-DU-NA-RO”, 3],
    [“KA-TO-RO”, 3],
    [“SA”, 3],
    [“]JO”, 3],
    [“KO-MA-WE-TO”, 3],
    [“]-RO”, 3],
    [“](O)”, 3],
    [“]-SO”, 3],
    [“A-KO-RA-JA”, 3],
    [“]PU-SO”, 3],
    [“TE-RA-PO-SI-JO”, 3],
    [“PO-KU-TA”, 3],

    [“](RE)-TO”, 2],
    [“RU-NA-MO”, 2],
    [“A-WA-SO”, 2],
    [“O-PA”, 2],
    [“VIN”, 2],
    [“E-(RA)”, 2],
    [“TA-DE-SO”, 2],
    [“A-TE-I-JA-TA”, 2],
    [“KI[“, 2],
    [“A-KA-WI-JA-DE”, 2],
    [“]TA-ZA”, 2],
    [“A-TE-MO”, 2],
    [“TO-SA”, 2],
    [“A-NO-QO-TA”, 2],
    [“MA-RI”, 2],
    [“KA-SA-RO”, 2],
    [“]RA-TO”, 2],
    [“A-QI-RU”, 2],
    [“RA-WO-QO-NO-JO”, 2],
    [“]WE”, 2],
    [“](JA)”, 2],
    [“](TI)”, 2],
    [“]TA-O”, 2],
    [“KA-NI-TO”, 2],
    [“](NI)-JO”, 2],
    [“]DE-A-TA”, 2],
    [“RO-RU”, 2],
    [“](JA)[“, 2],
    [“]MO”, 2],
    [“]TA”, 2],
    [“(PA)[“, 2], [“]JA”, 2],
    [“A-KO-RO”, 2],
    [“A-NU-MO”, 2],
    [“A-PI-QO-TA”, 2],
    [“](KI)”, 2],
    [“]A-DI-JE-WO”, 2],
    [“KU-TA-SI-JO”, 2],
    [“E-U-KO-RO”, 2],
    [“U-RA-JO”, 2],
    [“]QO-TE-JO”, 2],
    [“]KO-WE-JO”, 2],
    [“WO-WO”, 2],
    [“PA-RA-TI-JO”, 2],
    [“RA-RI-DI-JO”, 2],
    [“TO-U-NA-TA”, 2],
    [“](TO)”, 2],
    [“]I-TO”, 2],
    [“TA-U-NA-SO”, 2],
    [“]QA-NA-NO-TO”, 2],
    [“]SA”, 2],
    [“E-SE-RE-E-JO”, 2],
    [“*56-DU-NU-KA”, 2],
    [“E-(RA)[“, 2],
    [“](RA)”, 2],
    [“KA-MI-NI-TO”, 2],
    [“]KA-MO”, 2],
    [“DU-NI”, 2],
    [“SI-TA-RO”, 2],
    [“QE-[“, 2],
    [“TA-NA-PO-SO”, 2],
    [“DA-JA-RO”, 2],
    [“A3-KE-WA-TO”, 2],
    [“KO-TI”, 2],
    [“](WO)”, 2],
    [“KA-RU-NO”, 2],
    [“(WE)[“, 2],
    [“KA-DA-NO”, 2],
    [“AU-RI-JO”, 2],
    [“]ZA-RA-RO”, 2],
    [“QA-NA-NO-TO”, 2],
    [“DE-KE-SE-U”, 2],

    to do:
    break it down further into OVIS, OVISf and OVISm
    case insensitivity
    run Pylos and compare once PY data entry is complete
    auto-consolidate declensions and alternations
    de-duplicate entries from single inscriptions with multiple sources
    adjust for palimpsest erasures

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