- Yemahara yedzidzo yekutsvaga injini inoshandisa AI kukoshesa kukosha kwesemantic uye kupa TLDR uye kuverenga kwemamiriro.
- Citation metrics ine ruzivo rwakadai semakosheni ane simba uye chikamu panoitwa chirevo, zvichipa mamiriro ehunhu.
- BibTeX/RIS inotengeswa kunze kwenyika uye yeruzhinji API; yakanakira maSME anoda traceability pasina yakakura kubatanidzwa.
¿Semantic Scholar inoshanda sei? Kutsvaga zvinyorwa zvesainzi zvakavimbika pasina kubhadhara euro zvinogoneka, uye hazvisi zvemashiripiti: inyaya yekushandisa maturusi akakodzera nemazvo. Semantic Scholar, inopihwa simba neAllen Institute yeAI, inosanganisa AI uye hombe yedzidzo index. kuitira kuti nyanzvi, maSME nevatsvaguri vakwanise kutsvaga, kuverenga uye kunzwisisa zvinyorwa zvakakodzera pasina kurasika mugungwa rezvinyorwa.
Kupfuura kungoita yekare injini yekutsvaga, izvi zvinotungamira zvinorehwa nezviri mukati, kwete chete mazwi akakosha. Pfupiso yemutsara mumwe (TLDRs), kuverenga kwakafumiswa, uye metrics yekutaura ine mamiriro ehunhu. Vanokubatsira nekukurumidza kusarudza chakakodzera kuverenga zvakadzama uye nzira yekupembedza kunaka kwechidzidzo chega chega mumishumo, zvikumbiro, kana zvehunyanzvi.
Chii chinonzi Semantic Scholar uye ndiani ari shure kwayo?
Semantic Scholar injini yekutsvaga yemahara inoisa hungwaru hwekugadzira pabasa rekuverenga kwesainzi. Nzvimbo iyi yakagadzirwa muna 2015 mukati meAllen Institute yeAI (AI2), sangano risingabatsiri rakavambwa naPaul Allen., nechinangwa chekumhanyisa kufambira mberi kwesainzi nekubatsira kutsvaga nekunzwisisa tsvakiridzo yakakodzera.
Basa racho rakakura nokukurumidza. Mushure mekubatanidza zvinyorwa zvebiomedical muna 2017 uye zvinopfuura mamirioni makumi mana zvinyorwa mukombuta sainzi uye biomedicine muna 2018.Iyo corpus yakasvetuka muna 2019 nekubatanidza marekodhi eMicrosoft Academic, ichipfuura mamirioni zana nemakumi manomwe nematatu emagwaro. Muna 2020, yakasvika mamirioni manomwe vashandisi pamwedzi, chiratidzo chakajeka chekugamuchirwa munharaunda yezvidzidzo.
Kupinda kuri nyore uye mahara. Iwe unogona kunyoresa neakaundi yako yeGoogle kana kuburikidza neyakaomeswa nhoroondo uye wotanga kuchengetedza maraibhurari, uchitevera vanyori, uye activate kurudziro.Pamusoro pezvo, chinyorwa chega chega chakarongedzerwa chinogashira chiziviso chakasiyana, iyo Semantic Scholar Corpus ID (S2CID), iyo inogonesa kuteedzera uye kuyambuka-referensi.
Chinangwa chayo chakataurwa ndechekuderedza kuwandisa kweruzivo: Mamiriyoni ezvinyorwa anobudiswa gore negore, achiparadzirwa mumakumi ezviuru zvemagazini.Uye kuverenga zvese hazvigoneke. Ndicho chikonzero chikuva chinoisa pamberi izvo zvakakosha uye chinoratidza hukama pakati pemabasa, vanyori, nenzvimbo.
Kuenzaniswa nemamwe ma indexers akadai Google Scholar Labs kana PubMed, Semantic Scholar inotarisa pakuburitsa izvo zvine simba uye kuratidza hukama pakati pemapepa., ichibatanidza ongororo ye semantic uye yakapfumisa zvikwangwani zvinodarika zvinodarika kuverenga kwenhamba.
Mashandiro ayo: AI kunzwisisa zvinyorwa uye kuisa pamberi izvo zvakakosha
Iyo tekinoroji nheyo inosanganisa akati wandei AI chirango kuti isvike padanho negwaro rega rega. Mutauro wechisikigo modhi, kudzidza muchina, uye kuona komputa zvinoshanda pamwechete kuona pfungwa dzakakosha, masangano, manhamba, uye zvinhu muzvinyorwa zvesainzi.
Imwe yeayo inotsanangura maitiro ndeye TLDR, otomatiki "mutsara mumwechete" pfupiso yechimiro chisinganzwisisike iyo inobata pfungwa huru yechinyorwa. Iyi nzira inoderedza nguva yekuongorora kana uchibata mazana emhedzisiro, kunyanya panharembozha kana panguva yekuongorora nekukurumidza.
Chikuva chinosanganisirawo muverengi akakwenenzverwa. Semantic Reader inokwidziridza kuverenga nemakadhi equotation emukati, zvikamu zvakasimbiswa, uye nzira dzekufambisakuitira kuti iwe unzwisise mipiro uye mareferensi pasina kusvetuka-svetuka kana kumwe kutsvaga nemaoko.
Kurudziro yakasarudzika haisi masanga zvakare. Tsvagiridzo Yekudya inodzidza kubva pamaitiro ako ekuverenga uye hukama hwesemantic pakati pemisoro, vanyori, uye makotesheni. kukupa zvitsva uye zvinoenderana nezvirimo, uchiisa pamberi izvo zvinoenderana nemutsara wako webasa.
Pasi pehodhi, iyo "njere" inogara muvector inomiririra uye hukama hwakavanzika. Kumisikidzwa uye masaini masaini anobatsira kuona hukama pakati pemapepa, vanyori mubatanidzwa, uye thematic evolution.kudyisa zvese zvawanikwa zvekutsvaga uye mazano ekugadzirisa.
Citation metrics ine qualitative context
Huwandu hwemazuva hune basa, asi kuti sei uye kupi kunowedzera zvakawanda kunyaya. Pamakadhi emhedzisiro, Kuverengera kwecitation kunowanzo kuoneka pakona yekuruboshwe, uye kutenderedza mbeva pamusoro payo kunoratidza kugoverwa negore.pasina kuda kudzvanya. Nenzira iyi unokwanisa kuongorora uchingotarisa kana chinyorwa chichiri kushanda munhaurirano yesainzi kana kuti mhedzisiro yacho yakanyura mune imwe nguva.
Kana iwe ukaisa chitubu pamusoro pebhari rega rega mune chati, Iwe unowana huwandu hwekugadzwa kwegore chairoIyi diki diki igoridhe yemhando yekutaura nyaya: kana chinyorwa chikaramba chichigashira zvinotemerwa nhasi, Iwe unogona kukakavara nedata kuti mupiro wavo uchiri kukosha munharaunda.
Paunopinda peji yezvinyorwa, zvinhu zvinowedzera kunakidza. Pamusoro peiyo abstract uye zvinongedzo, rondedzero yemabasa anodudza inoonekwa, uye munzvimbo yepamusoro yekurudyi, yakanatswa data senge Yakanyanya kupesvedzera zvinyorwa.Ndiko kuti, izvo zvinyorwa umo bepa rakashandisa simba rakakura mukati megwaro rekutaura.
Maonero akafanana anokubvumira kuona Muzvikamu zvipi zvebasa rekutaura panowanikwa referensi (semuenzaniso, Kumashure kana Maitiro)Ichi chiratidzo chehunhu chinozadzisa kuverenga kwakachena uye chinobatsira kutsanangura kana chinyorwa chichitsigira dzidziso, inozivisa dhizaini yemaitiro, kana kushandiswa sereferensi.
Together, Kubatanidzwa kwehuwandu uye mamiriro ezvinhu kunoumba hwaro hwakasimba hwekupembedza humbowo mukuongororwa kwemukati, zvikumbiro zvehunyanzvi kana mishumo yekushingairira, kunyanya kana kuteedzerwa kuri kudiwa.
Zvinhu zvakakosha zvinomhanyisa kuongorora kwako
Iko kukosha kwechirevo chakaiswa mune seti yezvishandiso zvakagadzirirwa kuita sarudzo nekukurumidza uye kunatsiridza kuverenga. Aya ndiwo maitiro anochengetedza nguva yakawanda zuva nezuva:
- Kutsvaga kwedzidzo kweAI-powered iyo inokoshesa kukosha kwesemantic uye inosimbisa mipiro yakakosha.
- TLDR yemutsara mumibairo yekusefa chekucherekedza.
- Semantic Reader nekuverenga kwakakwenenzverwa, makadhi ezvinyorwa, uye zvikamu zvakasimbiswa.
- Research Feeds nemakurudziro anoenderana nezvaunoda.
- Bibliography uye zvinotengeswa kunze kwenyika BibTeX/RIS, inoenderana neZotero, Mendeley, uye EndNote.
- Public API kubvunza girafu yezvidzidzo (vanyori, zvinyorwa, nzvimbo) uye dhatabheti rakavhurika.
Kana ukashanda muzvikwata zvidiki kana maSME, musanganiswa weTLDR, kuverenga kwemamiriro ezvinhu, uye yakanaka quote inotengeswa kunze kwenyika Iyo inokutendera iwe kuti uchengetedze mafambiro ako ebasa akarongeka uye achiteedzera pasina kudikanwa kwekubatanidzwa kwebhizinesi kwakaoma.
AI zvakadzama: kubva kupfupiso kuenda kuhukama pakati pemadingindira
Smart maficha haana kugumira pa "kurova chaiko" kutsvaga. Iyi puratifomu inogadzira otomatiki TLDR, inopfumisa kuverenga nemamiriro ezvinhu, uye inoona zvinongedzo pakati pepfungwa. nekuda kwemhando dzemitauro uye maitiro ekukurudzira.
Kunyanya TLDRs inokubatsira kusarudza mumasekondi kana bepa richikodzera nzvimbo muraibhurari yezvidzidzoMuverengi akawedzerwa anokuchengetedza kubva pakusvetuka kuburikidza nemareferensi; uye kurudziro inogadziriswa inoratidza vanyori nemitsara yaungave usingazive, asi inoenderana nezvaunofarira.
Zvese izvi zvinogoneka nekuti AI haingoverengeri makotesheni, zvakare "inonzwisisa" iyo yakazara zvinyorwa uye zvinoonekwa zvinhu (nhamba kana matafura), kuwana zviratidzo zviri nani nezvemupiro chaiwo webasa rega rega pane yechinyakare keyword yekutsvaga injini.
Iyi nzira inonyanya kuoneka kana uri kubata neminda yakaoma kwazvo. Hukama hunowonekwa nekumisikidzwa pakati pemadingindira, vanyori, nenzvimbo Vanopa dzimwe nzira dzekuongorora dzinomhanyisa kumepu kwenzvimbo yesainzi.
Kubatanidzwa, kutumira kunze, uye APIs
Mune mazwi anoshanda, Semantic Scholar inoshanda nemazvo neyaunofarira bhaibheri maneja. Unogona kutumira mareferensi muBibTeX kana RIS uye chengetedza mafambiro neZotero, Mendeley, kana EndNote. Seamless. Kana iwe ukashanda nemamwe matemplate kana masitaera ekutaura, kutumira kunze kwenyika kunoita kuti zvive nyore kuchengetedza kuenderana.
Kuti uwane mamwe tekinoroji akabatanidzwa, Iyo ine yemahara REST API ine magumo ekutsvaga, vanyori, zvinyorwa, uye dhatabheti (zvakadai seSemantic Scholar Academic Graph). Pasi pemamiriro akataurwa, kiyi yakavanzika inoiswa pasi pechiyero chegumi RPS, inokwana kune akareruka otomatiki kana prototypes.
Ehe, Izvo hazvipi zvakanangana zvinongedzo kune CRMs kana mamwe mabhizinesi masisitimuKana iwe uchida pombi yemakambani, uchafanirwa kuvandudza tsika yekubatanidza uchishandisa API uye masevhisi ako emukati.
Kuvanzika, kuchengetedzeka uye kutevedzera
Iyo Allen Institute yeAI inobata mushandisi maakaundi uye data. Iyo yekuvanzika mutemo inotsanangura muridzi uye kushandiswa kwedatakusanganisira kuti zvimwe zvirimo muruzhinji zvinogona kushandiswa kutsvaga nekuvandudza modhi, uye ruzivo rwemushandisi rwunobatwa zvinoenderana nemutemo uripo.
Panyaya yekuchengeteka, AI2 inozivisa zviyero zvakajairwa seTLS neHTTPS kuchengetedza kutauriranaHapana chaiyo ISO kana SOC certification inotaurwa mumagwaro akanyorwa, saka munzvimbo dzemakambani zvinokurudzirwa kuti uongorore zvemukati zvemitemo uye zvinodiwa.
Mitauro, rutsigiro, uye ruzivo rwemushandisi
Iyo interface uye mazhinji ezvinyorwa akanangana neChirungu. Inogona kuita index inoshanda mune mimwe mitauro, asi iko kurongeka kwezvinyorwa uye kupatsanura kuri pamusoro muChirungu.Hapana tsigiro yepamutemo muchiSpanish; yakajairika nzira dzekubatsira inzvimbo yekutsigira, FAQs, uye nharaunda yezvidzidzo.
Nezve dhizaini, Iyo interface ndeye minimalist, yekutsvaga injini maitiro, ane akajeka mafirita uye akanyatso kurongeka chinyorwa mapeji.Iwe unokwanisa kuwana zvakananga TLDR, iyo yakawedzera muverengi, uye cite uye ekunze sarudzo, izvo zvinoderedza kusingakoshi kudzvanya.
Kuwana nhare
Iko hakuna yepamutemo yemuno mobile app. Iyo saiti inopindura zvakanaka pamabhurawuza enhare, asi iyo yakazara augmented muverengi ruzivo uye raibhurari manejimendi inoyerera zvirinani padesktop.Kana iwe ukafamba pakati pemidziyo, ipfungwa yakanaka kuronga kuverenga kwako kwakadzama pakombuta yako.
Mitengo uye zvirongwa
Iyo yese sevhisi ndeyemahara, isina zvirongwa zvakabhadharwa. Iyo yeruzhinji API zvakare yemahara, ine chiyero chivharo. maererano nekushandisa zvine musoro. Kune zvikwata zvine mabhajeti akasimba, izvi zvinoita mutsauko zvichienzaniswa neyakabhadharwa mhinduro dzine maficha akafanana.
Rating by category
Nzvimbo dzakasiyana dzechishandiso dzinoita pamazinga anoshamisa, paine nzvimbo yekuvandudza mukubatanidzwa kwebhizinesi uye nerutsigiro rwemitauro yakawanda. Ongororo iyi inopa avhareji yezvibodzwa zvinotevera: 3,4 kubva pa5, inotsigirwa nehutano / mutengo wehuwandu uye kushanda kweAI-powered search engine.
| Chikamu | Kupinza | komenda |
|---|---|---|
| Mabasa | 4,6 | Semantic yekutsvaga, TLDR, uye yakawedzera muverengi Vanokurumidzisa kuverenga kwakadzama. |
| Kubatanidzwa | 2,7 | Exports uye API correct; zvibatanidza zvemabhizimusi zvemuno zvisipo. |
| Mutauro nerutsigiro | 3,4 | Focus in English; rubatsiro kuburikidza ne FAQ uye nharaunda. |
| Kunakidzwa kwekushandiswa | 4,4 | Zvakajeka, injini yekutsvaga-yakafanana nemabasa anooneka uye akagadzikana. |
| Unhu hwemutengo | 5,0 | Basa remahara pasina mazinga ekubhadhara. |
Nyaya yekudzidza: kambani yekubvunza inoderedza nguva dzekudzokorora
Chikwata chevanobvunza nezvehutano chakavakirwa muBogotá chinodiwa kumepu humbowo pakurapa kwedhijitari. Con Semantic Scholar Vakagadzira raibhurari ine thematic, activated Research Feeds, uye vakashandisa TLDR kusefa zvinopfuura mazana matatu zvinyorwa kusvika makumi mana akakosha.Chirevo chakaburitswa mumazuva maviri, nekudzikiswa kwenguva yekudzokorora inosvika 60%.
Rudzi urwu rwekuchengetedza runotsanangurwa nekubatanidzwa kwekuwanikwa kwesemantic uye kuverenga kwemamiriro. Kana kutevedzwa kwecitation kwakakosha, makadhi evaverengi uye kutumira kunze kune mamaneja ebhaibheri Ivo vanorerutsa iyo yekuongorora uye yekupedzisira yekushuma maitiro.
Kuenzanisa nekukurumidza nedzimwe nzira
Pane mhinduro dzinopindirana dzinovhara zvakasiyana zvinodiwa zvekuverenga uye kuongorora kutenderera. Tafura inopfupikisa kusiyana kwemaitiro, mabasa, uye nhanho yekubatanidzwa pakati pezvisarudzo zvakakurumbira.
| Chitarisiko | Semantic Scholar | Kudzidza | ResearchRabbit |
|---|---|---|---|
| Tarisa | AI-powered yedzidzo yekutsvaga injini kuwana zvinyorwa, vanyori, uye misoro. | Otomatiki pfupiso uye makadhi anodyidzana ekuverenga zvakanaka. | kuongorora kwekuona kuburikidza nezvinyorwa uye mamepu ekunyora. |
| AI Zvimiro | TLDR uye muverengi wezvinyorwaadaptive mazano. | Key data kutorwa uye kusimbisa chokwadi uye mareferensi. | Network-based mazano nekushanduka-shanduka kwemadingindira. |
| Kubatanidzwa | Export BibTeX/RISPublic API yegirafu nekutsvaga. | Tumira kunze kuIzwi/Excel/Markdown/PPT; gwara reZotero/Mendeley/EndNote. | Import/export list uye zvinongedzo kune maneja ebhaibheri. |
| Yakanakira | Sefa mabhuku nekukurumidza, verenga zvinoenderana nezviri kutaurwa uye tora makotesheni. | Shandura maPDF kuita zvipfupiso zvinogoneka uye zvekushandisa pakudzidza. | Ongorora minda nehukama uye mafambiro ari kubuda. |
Masefa uye matipi anoita mutsauko wese
Hazvisi zvese zviri AI; masefa akashandiswa zvakanaka anodzivirira ruzha. Iwe unogona kudzikisira nekubatana-kunyora, kuwanikwa kwePDF, nzvimbo yeruzivo, kana rudzi rwekuburitsa kuisa pfungwa pane zvaunoda chaizvo. Ichi chikamu, chakasanganiswa neTLDR, chinomhanyisa zvakanyanya kuverenga.
Kana ukasangana nechinyorwa chisina PDF iripo, Muzvirongwa zveyunivhesiti, zvinowanzobatsira kubata basa reraibhurari. kukumbira gwara rekuti ungawane kupi uye sei zvinyorwa zvizere kuburikidza nekunyoreswa kana zvikwereti.
Maitiro akanakisa ane zvinyorwa uye S2CID
Paunenge uchigadzira rondedzero kana gwaro rehunyanzvi, zvinokurudzirwa kuchengetedza tambo yemareferenzi. Iyo S2CID identifier inoita kuti zvive nyore kutaura, kuyambuka-mareferensi masosi, uye kuona matsamba. pakati pedhatabhesi nemamaneja ebhaibheri, kudzivirira kusajeka nekuda kwemazita akafanana.
Uyezve, kana uchishandisa muverengi akakudzwa, Makadhi echirevo chequotation anokurumidza kuratidza kuti nharo inotsigirwa sei. mumabasa akanyorwa, chimwe chinhu chinobatsira mukuongorora nekukurumidza kana mharidzo dzemukati.
Inowanzobvunzwa mibvunzo
Inobatsira here kune maSME nezvikwata zvidiki? Ehe. Iko kusanganiswa kwesemantic yekutsvaga, TLDR, uye muverengi wezvinyorwa Inogadzirisa maitiro ekuongorora uye inochengetedza kurongeka kwekugadzwa. pasina kuisa mari muzvigadziriso zvinodhura.
Inoshanda zvakanaka muchiSpanish? Chikamu. Inogona kunyora zvinyorwa mumitauro yakasiyana, asi Kurongeka kwepfupiso uye kupatsanura kunoita zvirinani nezvinyorwa zveChirungu..
Pane mobile app here? Kwete. Inowanikwa kuburikidza nenharembozha; Iyo yakatsetseka muverengi uye raibhurari ruzivo iri padesktop.
Ine API here? Hongu. Yemahara REST API ine magumo ekutsvaga, vanyori, zvinyorwa, uye dhatabheti yegirafu yezvidzidzo; inobatsira pachiedza automation.
Ndiani anoshanda sevhisi? Iyo Allen Institute yeAI (AI2), tsvakurudzo sangano rakagadzirwa naPaul Allen uye yakanangana neAI kune yakajairika kunaka.
Tichitarisa mufananidzo wacho wese, chishandiso chinokwana paunoda kusefa zvinyorwa zvine hungwaru, verenga zvinoenderana nemamiriro ezvinhu, uye chengeta mareferensi pasina dambudziko. Yemahara, ine yakanyatso shandiswa AI uye yemhando yechiratidzo masainiYakawana nzvimbo pakati pezvakanakisa zvakavhurika zviwanikwa zvekushanda nemapepa pasina kutambisa nguva pamabasa emuchina.
Aida nezve tekinoroji kubva achiri mudiki. Ini ndinoda kuva nemazuva ano muchikamu uye, pamusoro pezvose, kutaura nezvazvo. Ndokusaka ndakazvipira kutaurirana pane tekinoroji uye vhidhiyo mutambo mawebhusaiti kwemakore mazhinji ikozvino. Unogona kundiwana ndichinyora nezve Android, Windows, MacOS, iOS, Nintendo kana chero imwe nyaya ine hukama inouya mupfungwa.