{"id":2691,"date":"2026-04-06T05:00:00","date_gmt":"2026-04-05T20:00:00","guid":{"rendered":"https:\/\/team-y5.com\/fukugyo-sensei\/?p=2691"},"modified":"2026-04-05T12:02:19","modified_gmt":"2026-04-05T03:02:19","slug":"ai-semantic-scholar-intro","status":"publish","type":"post","link":"https:\/\/team-y5.com\/fukugyo-sensei\/ai-semantic-scholar-intro\/","title":{"rendered":"\u3010AI\u624b\u5e33 No.90\u3011Semantic Scholar\u2500\u25002\u5104\u672c\u306e\u8ad6\u6587\u3092AI\u3067\u77ac\u6642\u306b\u89e3\u6790\u3059\u308b\u7121\u6599\u5b66\u8853\u691c\u7d22\u306e\u6700\u5f37\u30c4\u30fc\u30eb"},"content":{"rendered":"
\n
AI HANDBOOK — AI\u624b\u5e33 — No.90<\/span><\/p>\n

Semantic Scholar<\/span><\/h1>\n

AI\u304c\u8ad6\u65872\u5104\u672c\u4ee5\u4e0a\u3092\u89e3\u6790\u3059\u308b\u3001\u7814\u7a76\u8005\u30fb\u77e5\u8b58\u30d3\u30b8\u30cd\u30b9\u306e\u6700\u5f37\u7121\u6599\u30b5\u30fc\u30c1\u30a8\u30f3\u30b8\u30f3<\/span><\/p>\n

\u5b66\u8853\u691c\u7d22AI<\/span>
\n2015\u5e74\u30ed\u30fc\u30f3\u30c1<\/span>
\n\u5b8c\u5168\u7121\u6599<\/span><\/div>\n<\/div>\n\n\n\n\n\n\n\n
DEVELOPER<\/th>\nAllen Institute for AI\uff08AI2\uff09\uff0f\u975e\u55b6\u5229\u7814\u7a76\u6a5f\u95a2\u30fb\u7c73\u30ef\u30b7\u30f3\u30c8\u30f3\u5dde\u30b7\u30a2\u30c8\u30eb<\/td>\n<\/tr>\n
CATEGORY<\/th>\nAI\u99c6\u52d5\u578b\u5b66\u8853\u8ad6\u6587\u691c\u7d22\u30fb\u5f15\u7528\u5206\u6790\u30fb\u6587\u732e\u7ba1\u7406\u30a8\u30f3\u30b8\u30f3<\/td>\n<\/tr>\n
PRICING<\/th>\n\u5b8c\u5168\u7121\u6599\uff08\u6709\u6599\u30d7\u30e9\u30f3\u306a\u3057\uff09\uff0fAPI\u3082\u7121\u6599\u5229\u7528\u67a0\u3042\u308a\uff08\u7814\u7a76\u30fb\u975e\u5546\u7528\u76ee\u7684\uff09<\/td>\n<\/tr>\n
PLATFORM<\/th>\nWeb\u30d6\u30e9\u30a6\u30b6\uff08PC\u30fb\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u5bfe\u5fdc\uff09\uff0f\u516c\u958bAPI\uff08REST\uff09<\/td>\n<\/tr>\n
BEST FOR<\/th>\n\u7814\u7a76\u8005\u30fb\u30e9\u30a4\u30bf\u30fc\u30fb\u30b3\u30f3\u30b5\u30eb\u30bf\u30f3\u30c8\u30fb\u6559\u80b2\u7cfb\u526f\u696d\u8005\u30fbSEO\u30b3\u30f3\u30c6\u30f3\u30c4\u5236\u4f5c\u8005<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\ud83d\udce1<\/span>
\nSemantic Scholar<\/span> \u3068\u306f\u4f55\u304b<\/span><\/div>\n

Semantic Scholar\u306f\u3001Microsoft\u306e\u5171\u540c\u5275\u696d\u8005\u30dd\u30fc\u30eb\u30fb\u30a2\u30ec\u30f3\u6c0f\u304c\u8a2d\u7acb\u3057\u305f\u975e\u55b6\u5229AI\u7814\u7a76\u6a5f\u95a2\u300cAllen Institute for AI\uff08AI2\uff09\u300d\u304c2015\u5e74\u306b\u516c\u958b\u3057\u305f\u3001AI\u3092\u6d3b\u7528\u3057\u305f\u5b66\u8853\u8ad6\u6587\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u3060\u30022026\u5e74\u73fe\u5728\u3001\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u6e08\u307f\u8ad6\u6587\u6570\u306f2\u5104\u672c\u8d85\u3002\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u304b\u3089\u533b\u5b66\u30fb\u7269\u7406\u5b66\u30fb\u7d4c\u6e08\u5b66\u307e\u3067\u5e45\u5e83\u3044\u5206\u91ce\u3092\u30ab\u30d0\u30fc\u3057\u3066\u3044\u308b\u3002<\/p>\n

\u5f93\u6765\u306e\u5b66\u8853\u691c\u7d22\uff08Google Scholar\u3084PubMed\uff09\u3068\u6c7a\u5b9a\u7684\u306b\u7570\u306a\u308b\u306e\u306f\u3001NLP\uff08\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff09\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u3088\u3063\u3066\u8ad6\u6587\u306e\u300c\u610f\u5473\u300d\u3092\u89e3\u6790\u3059\u308b\u70b9\u3002\u30ad\u30fc\u30ef\u30fc\u30c9\u30de\u30c3\u30c1\u3060\u3051\u3067\u306a\u304f\u3001\u6587\u8108\u30fb\u5f15\u7528\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30fb\u7814\u7a76\u30c8\u30ec\u30f3\u30c9\u3092\u6a2a\u65ad\u7684\u306b\u5206\u6790\u3057\u3066\u95a2\u9023\u8ad6\u6587\u3092\u63d0\u793a\u3067\u304d\u308b\u3002<\/p>\n

\u526f\u696d\u30fb\u500b\u4eba\u30d3\u30b8\u30cd\u30b9\u306e\u6587\u8108\u3067\u3082\u975e\u5e38\u306b\u5f37\u3044\u3002\u300c\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u4e00\u6b21\u60c5\u5831\u3092\u7121\u6599\u3067\u53d6\u5f97\u3059\u308b\u300d\u3068\u3044\u3046\u30cb\u30fc\u30ba\u306f\u3001\u6559\u80b2\u30b3\u30f3\u30c6\u30f3\u30c4\u5236\u4f5c\u30fb\u5c02\u9580\u5bb6\u30d6\u30ed\u30b0\u30fb\u30b3\u30f3\u30b5\u30eb\u30c6\u30a3\u30f3\u30b0\u30ec\u30dd\u30fc\u30c8\u3059\u3079\u3066\u306b\u5171\u901a\u3059\u308b\u3002Semantic Scholar\u3092\u4f7f\u3048\u3070\u3001\u6839\u62e0\u3042\u308b\u60c5\u5831\u3092\u7af6\u5408\u3088\u308a\u5727\u5012\u7684\u306b\u65e9\u304f\u53ce\u96c6\u3067\u304d\u308b\u3002<\/p>\n

\u26a1<\/span>
\n\u4e3b\u8981\u6a5f\u80fd 3\u3064<\/span><\/div>\n
FEATURE_01<\/span>
\nAI-Powered Paper Search \u2500\u2500 \u610f\u5473\u7406\u89e3\u578b\u306e\u8ad6\u6587\u691c\u7d22<\/span>
\n\u5358\u8a9e\u306e\u4e00\u81f4\u3067\u306f\u306a\u304f\u3001\u30af\u30a8\u30ea\u306e\u300c\u610f\u5473\u300d\u3092\u89e3\u91c8\u3057\u3066\u95a2\u9023\u8ad6\u6587\u3092\u62bd\u51fa\u3059\u308b\u3002\u305f\u3068\u3048\u3070\u300c\u30e1\u30f3\u30bf\u30eb\u30d8\u30eb\u30b9\u3068\u904b\u52d5\u306e\u95a2\u4fc2\u300d\u3068\u5165\u529b\u3059\u308c\u3070\u3001\u30bf\u30a4\u30c8\u30eb\u306b\u8a72\u5f53\u8a9e\u304c\u306a\u3044\u8ad6\u6587\u3067\u3082\u5185\u5bb9\u7684\u306b\u5408\u81f4\u3059\u308b\u3082\u306e\u3092\u4e0a\u4f4d\u8868\u793a\u3067\u304d\u308b\u3002\u30d5\u30a3\u30eb\u30bf\u30fc\u6a5f\u80fd\u3082\u5145\u5b9f\u3057\u3066\u304a\u308a\u3001\u767a\u884c\u5e74\u30fb\u5f15\u7528\u6570\u30fb\u30aa\u30fc\u30d7\u30f3\u30a2\u30af\u30bb\u30b9\u306e\u6709\u7121\u30fb\u7814\u7a76\u5206\u91ce\u30fb\u8457\u8005\u30fb\u63b2\u8f09\u8a8c\u3067\u7d5e\u308a\u8fbc\u307f\u53ef\u80fd\u3002\u526f\u696d\u8005\u306b\u3068\u3063\u3066\u306f\u300c\u30cd\u30bf\u63a2\u3057\u306e\u7cbe\u5ea6\u300d\u304c\u6bb5\u9055\u3044\u306b\u306a\u308b\u3002<\/span><\/div>\n
FEATURE_02<\/span>
\nTLDR\uff08AI\u81ea\u52d5\u8981\u7d04\uff09 \u2500\u2500 \u8ad6\u65871\u672c\u30921\u6587\u3067\u628a\u63e1<\/span>
\n\u5404\u8ad6\u6587\u306b\u81ea\u52d5\u751f\u6210\u3055\u308c\u305f\u300cTLDR\uff08Too Long; Didn’t Read\uff09\u300d\u30b5\u30de\u30ea\u30fc\u304c\u4ed8\u4e0e\u3055\u308c\u3066\u304a\u308a\u3001\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u3092\u8aad\u307e\u305a\u306b\u8ad6\u6587\u306e\u4e3b\u65e8\u30921\u301c2\u6587\u3067\u628a\u63e1\u3067\u304d\u308b\u3002\u81a8\u5927\u306a\u8ad6\u6587\u3092\u30b9\u30ad\u30e3\u30f3\u3059\u308b\u30ea\u30b5\u30fc\u30c1\u696d\u52d9\u3067\u306f\u6642\u9593\u52b9\u7387\u304c\u5287\u7684\u306b\u5411\u4e0a\u3059\u308b\u3002\u30b3\u30f3\u30c6\u30f3\u30c4\u30e9\u30a4\u30bf\u30fc\u3084\u30b3\u30f3\u30b5\u30eb\u30bf\u30f3\u30c8\u304c\u300c\u30d5\u30a1\u30af\u30c8\u30c1\u30a7\u30c3\u30af\u7528\u306e\u4e00\u6b21\u30bd\u30fc\u30b9\u63a2\u3057\u300d\u306b\u4f7f\u3046\u969b\u306b\u7279\u306b\u5a01\u529b\u3092\u767a\u63ee\u3059\u308b\u6a5f\u80fd\u3060\u3002<\/span><\/div>\n
FEATURE_03<\/span>
\nCitation Graph \uff06 Research Library \u2500\u2500 \u5f15\u7528\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u89e3\u6790\u3068\u6587\u732e\u7ba1\u7406<\/span>
\n\u8ad6\u6587\u306e\u88ab\u5f15\u7528\u6570\u30fb\u5f15\u7528\u5148\u30fb\u95a2\u9023\u8ad6\u6587\u3092\u30d3\u30b8\u30e5\u30a2\u30eb\u306a\u30b0\u30e9\u30d5\u3067\u78ba\u8a8d\u3067\u304d\u3001\u300c\u3053\u306e\u5206\u91ce\u3067\u5f71\u97ff\u529b\u306e\u9ad8\u3044\u7814\u7a76\u300d\u3092\u4e00\u76ee\u3067\u628a\u63e1\u3067\u304d\u308b\u3002\u307e\u305f\u7121\u6599\u30a2\u30ab\u30a6\u30f3\u30c8\u3092\u4f5c\u6210\u3059\u308c\u3070\u300cResearch Library\u300d\u306b\u304a\u6c17\u306b\u5165\u308a\u8ad6\u6587\u3092\u4fdd\u5b58\u30fb\u5206\u985e\u7ba1\u7406\u3067\u304d\u3001\u5f8c\u3067\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3082\u53ef\u80fd\u3002\u7814\u7a76\u30c8\u30ec\u30f3\u30c9\u306e\u5909\u5316\u3092\u6642\u7cfb\u5217\u3067\u8ffd\u3048\u308b\u300cYear-over-Year Citation\u300d\u30c7\u30fc\u30bf\u3082\u526f\u696d\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u30cd\u30bf\u51fa\u3057\u306b\u4f7f\u3048\u308b\u3002<\/span><\/div>\n
\u2696\ufe0f<\/span>
\n\u4f3c\u305fAI\u3068\u306e\u9055\u3044<\/span><\/div>\n\n\n\n\n\n\n\n
<\/th>\nSemantic Scholar<\/th>\nGoogle Scholar<\/th>\nConsensus AI<\/th>\n<\/tr>\n
\u6599\u91d1<\/td>\n\u5b8c\u5168\u7121\u6599<\/td>\n\u5b8c\u5168\u7121\u6599<\/td>\n\u7121\u6599\uff08\u5236\u9650\u3042\u308a\uff09\uff0f\u6708$8.99\u301c<\/td>\n<\/tr>\n
AI\u8981\u7d04\u6a5f\u80fd<\/td>\nTLDR\u81ea\u52d5\u4ed8\u4e0e\u30fb\u5168\u8ad6\u6587\u5bfe\u5fdc<\/td>\n\u306a\u3057<\/td>\nAI\u56de\u7b54\u751f\u6210\u30fb\u6839\u62e0\u4ed8\u304d<\/td>\n<\/tr>\n
\u8ad6\u6587\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u6570<\/td>\n2\u5104\u672c\u8d85<\/td>\n\u63a8\u5b9a3\u301c4\u5104\u672c\u8d85\uff08\u6700\u5927\u898f\u6a21\uff09<\/td>\n\u7d042\u5104\u672c\uff08Semantic Scholar\u9023\u643a\uff09<\/td>\n<\/tr>\n
API\u516c\u958b<\/td>\n\u7121\u6599REST API\uff08\u5546\u7528\u5236\u9650\u3042\u308a\uff09<\/td>\n\u975e\u516c\u958b\uff08\u975e\u516c\u5f0f\u306e\u307f\uff09<\/td>\nAPI\u3042\u308a\uff08\u6709\u6599\u30d7\u30e9\u30f3\u3067\u62e1\u5f35\uff09<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\ud83c\udfaf<\/span>
\n\u3053\u3093\u306a\u4f7f\u3044\u65b9\u304c\u5f37\u3044<\/span><\/div>\n
\n
\ud83d\udcdd<\/span>
\nSEO\u7279\u5316\u306e\u5c02\u9580\u30b3\u30f3\u30c6\u30f3\u30c4\u5236\u4f5c<\/span>
\n\u300c\u7814\u7a76\u3067\u8a3c\u660e\u3055\u308c\u305f\u3007\u3007\u300d\u3068\u3044\u3046\u6839\u62e0\u4ed8\u304d\u30b3\u30f3\u30c6\u30f3\u30c4\u306f\u4fe1\u983c\u6027\u304c\u9ad8\u304fE-E-A-T\u306b\u3082\u6709\u5229\u3002\u30d6\u30ed\u30b0\u30fbnote\u30fb\u6709\u6599\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u5dee\u5225\u5316\u306b\u76f4\u7d50\u3059\u308b\u3002<\/span><\/div>\n
\ud83c\udf93<\/span>
\n\u6559\u80b2\u7cfb\u526f\u696d\u306e\u6559\u6750\u30ea\u30b5\u30fc\u30c1<\/span>
\n\u30aa\u30f3\u30e9\u30a4\u30f3\u8b1b\u5e2b\u30fb\u587e\u8b1b\u5e2b\u30fb\u30b3\u30fc\u30c1\u304c\u300c\u79d1\u5b66\u7684\u6839\u62e0\u306e\u3042\u308b\u30ab\u30ea\u30ad\u30e5\u30e9\u30e0\u300d\u3092\u4f5c\u6210\u3059\u308b\u969b\u306e\u4e00\u6b21\u60c5\u5831\u53ce\u96c6\u30c4\u30fc\u30eb\u3068\u3057\u3066\u6700\u9069\u3002\u6709\u6599\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u8aac\u5f97\u529b\u304c\u6bb5\u9055\u3044\u306b\u306a\u308b\u3002<\/span><\/div>\n
\ud83d\udcbc<\/span>
\n\u30b3\u30f3\u30b5\u30eb\u30c6\u30a3\u30f3\u30b0\u30ec\u30dd\u30fc\u30c8\u306e\u5f37\u5316<\/span>
\n\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3078\u306e\u63d0\u6848\u66f8\u3084\u5e02\u5834\u8abf\u67fb\u30ec\u30dd\u30fc\u30c8\u306b\u6700\u65b0\u8ad6\u6587\u306e\u30a8\u30d3\u30c7\u30f3\u30b9\u3092\u52a0\u3048\u308b\u3053\u3068\u3067\u3001\u5358\u4fa1\u30a2\u30c3\u30d7\u30fb\u4fe1\u983c\u7372\u5f97\u306b\u8ca2\u732e\u3002\u30d5\u30ea\u30fc\u30e9\u30f3\u30b9\u30b3\u30f3\u30b5\u30eb\u30bf\u30f3\u30c8\u306e\u6b66\u5668\u306b\u306a\u308b\u3002<\/span><\/div>\n
\ud83e\udd16<\/span>
\nAI\u00d7Semantic Scholar API\u306e\u30a2\u30d7\u30ea\u958b\u767a<\/span>
\n\u7121\u6599API\u3092\u6d3b\u7528\u3057\u3066ChatGPT\u7b49\u3068\u9023\u643a\u3057\u305f\u300c\u8ad6\u6587\u8981\u7d04\u30dc\u30c3\u30c8\u300d\u3084\u300c\u696d\u754c\u30c8\u30ec\u30f3\u30c9\u30ec\u30dd\u30fc\u30c8\u81ea\u52d5\u751f\u6210\u30c4\u30fc\u30eb\u300d\u3092\u4f5c\u308c\u3070\u3001SaaS\u526f\u696d\u30fb\u53d7\u8a17\u958b\u767a\u6848\u4ef6\u3068\u3057\u3066\u5c55\u958b\u53ef\u80fd\u3002<\/span><\/div>\n<\/div>\n
\ud83d\udcbb<\/span>
\n\u52b9\u679c\u7684\u306a\u30d7\u30ed\u30f3\u30d7\u30c8\u4f8b<\/span><\/div>\n
PROMPT_EXAMPLE<\/span>
\n
\n\u2500\u2500 \u691c\u7d22\u30af\u30a8\u30ea\u4f8b\u2460\uff08\u30d6\u30ed\u30b0\u30fbSNS\u767a\u4fe1\u7cfb\u526f\u696d\u5411\u3051\uff09
\n\u300cintermittent fasting cognitive performance\u300d
\n\u2192 \u65ad\u98df\u00d7\u8a8d\u77e5\u6a5f\u80fd\u306e\u7814\u7a76\u3092TLDR\u4ed8\u304d\u3067\u4e00\u89a7\u53d6\u5f97\u3002\u5065\u5eb7\u7cfb\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u6839\u62e0\u3068\u3057\u3066\u5f15\u7528\u5143URL\u3054\u3068\u8a18\u4e8b\u306b\u7d44\u307f\u8fbc\u3080\u3002<\/span><\/span>\u2500\u2500 \u691c\u7d22\u30af\u30a8\u30ea\u4f8b\u2461\uff08\u30b3\u30f3\u30b5\u30eb\u30bf\u30f3\u30c8\u30fbBtoB\u5411\u3051\uff09
\n\u300cremote work productivity systematic review 2022 2023 2024\u300d
\n\u2192 \u30ea\u30e2\u30fc\u30c8\u30ef\u30fc\u30af\u751f\u7523\u6027\u306e\u6700\u65b0\u30e1\u30bf\u5206\u6790\u3092\u5e74\u5ea6\u6307\u5b9a\u3067\u62bd\u51fa\u3002\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3078\u306e\u50cd\u304d\u65b9\u6539\u9769\u63d0\u6848\u66f8\u306e\u30a8\u30d3\u30c7\u30f3\u30b9\u3068\u3057\u3066\u6d3b\u7528\u3002<\/p>\n

\u2500\u2500 API\u6d3b\u7528\u30d7\u30ed\u30f3\u30d7\u30c8\uff08\u30a8\u30f3\u30b8\u30cb\u30a2\u30fb\u30ce\u30fc\u30b3\u30fc\u30c9\u526f\u696d\u5411\u3051\uff09
\n\u300cSemantic Scholar API\u306epapers\/search\u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\u3092\u4f7f\u3044\u3001\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a{query}\u3001\u5f15\u7528\u6570\uff1a{minCitationCount}\u4ee5\u4e0a\u3001\u5e74\u4ee3\uff1a{year}\u4ee5\u964d\u3067\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3057\u3001\u5404\u8ad6\u6587\u306etitle\u30fbabstract\u30fbtldr\u30fbexternalIds\u3092JSON\u5f62\u5f0f\u3067\u8fd4\u3059Python\u30b3\u30fc\u30c9\u3092\u751f\u6210\u3057\u3066\u304f\u3060\u3055\u3044\u300d<\/p>\n<\/div>\n

\ud83d\ude80<\/span>
\n\u526f\u696d\u30fb\u30d3\u30b8\u30cd\u30b9\u3078\u306e\u6d3b\u7528\u6cd5<\/span><\/div>\n
\u25b7 \u5b9f\u88c5\u30a2\u30a4\u30c7\u30a24\u9078<\/span><\/p>\n