Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes
Full-text search engines are important tools for information retrieval. Term proximity is an important factor in relevance score measurement. In a proximity full-text search, we assume that a relevant document contains query terms near each other, especially if the query terms are frequently occurri...
Uložené v:
| Vydané v: | arXiv.org |
|---|---|
| Hlavný autor: | |
| Médium: | Paper |
| Jazyk: | English |
| Vydavateľské údaje: |
Ithaca
Cornell University Library, arXiv.org
18.11.2018
|
| Predmet: | |
| ISSN: | 2331-8422 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Full-text search engines are important tools for information retrieval. Term proximity is an important factor in relevance score measurement. In a proximity full-text search, we assume that a relevant document contains query terms near each other, especially if the query terms are frequently occurring words. A methodology for high-performance full-text query execution is discussed. We build additional indexes to achieve better efficiency. For a word that occurs in the text, we include in the indexes some information about nearby words. What types of additional indexes do we use? How do we use them? These questions are discussed in this work. We present the results of experiments showing that the average time of search query execution is 44-45 times less than that required when using ordinary inverted indexes. This is a pre-print of a contribution "Veretennikov A.B. Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes" published in "Arai K., Kapoor S., Bhatia R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 868" published by Springer, Cham. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-01054-6_66. The work was supported by Act 211 Government of the Russian Federation, contract no 02.A03.21.0006. |
|---|---|
| AbstractList | Full-text search engines are important tools for information retrieval. Term proximity is an important factor in relevance score measurement. In a proximity full-text search, we assume that a relevant document contains query terms near each other, especially if the query terms are frequently occurring words. A methodology for high-performance full-text query execution is discussed. We build additional indexes to achieve better efficiency. For a word that occurs in the text, we include in the indexes some information about nearby words. What types of additional indexes do we use? How do we use them? These questions are discussed in this work. We present the results of experiments showing that the average time of search query execution is 44-45 times less than that required when using ordinary inverted indexes. This is a pre-print of a contribution "Veretennikov A.B. Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes" published in "Arai K., Kapoor S., Bhatia R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 868" published by Springer, Cham. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-01054-6_66. The work was supported by Act 211 Government of the Russian Federation, contract no 02.A03.21.0006. |
| Author | Veretennikov, Alexander B |
| Author_xml | – sequence: 1 givenname: Alexander surname: Veretennikov middlename: B fullname: Veretennikov, Alexander B |
| BookMark | eNotzk1LwzAcgPEgCs65D-At4Lk1r016HMO9wETRHryNpP2HZXTJbFrtvr0DPT23H88dug4xAEIPlORCS0meTDf675xqSnOieEGv0IRxTjMtGLtFs5QOhBBWKCYln6DPty6O_uj7M14ObZtVMPb4A0xX7_GP7_fY4HdIpxgS4MofAa8G05nQA2B7xi9gQsLR4XnT-N7HYFq8CQ2MkO7RjTNtgtl_p6haPleLdbZ9XW0W821mJFNZ2YBmpSiNqLnW4AomtSuo4KZUVhR1I5QCK5mTpea2ts4Rq0ASS6gCZh2fosc_9tTFrwFSvzvEobt8pB2jXF7wUiv-C5BmVN0 |
| ContentType | Paper |
| Copyright | 2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | 8FE 8FG ABJCF ABUWG AFKRA AZQEC BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS |
| DOI | 10.48550/arxiv.1811.07361 |
| DatabaseName | ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central Technology Collection ProQuest One Community College ProQuest Central SciTech Premium Collection ProQuest Engineering Collection Engineering Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection |
| DatabaseTitle | Publicly Available Content Database Engineering Database Technology Collection ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea Materials Science & Engineering Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) Engineering Collection |
| DatabaseTitleList | Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Physics |
| EISSN | 2331-8422 |
| Genre | Working Paper/Pre-Print |
| GroupedDBID | 8FE 8FG ABJCF ABUWG AFKRA ALMA_UNASSIGNED_HOLDINGS AZQEC BENPR BGLVJ CCPQU DWQXO FRJ HCIFZ L6V M7S M~E PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS |
| ID | FETCH-LOGICAL-a527-9de82949a4c388ef6258f6143a97b46cd477eb52f5983bcbff0b7e50b017e2bf3 |
| IEDL.DBID | M7S |
| IngestDate | Mon Jun 30 09:36:35 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-a527-9de82949a4c388ef6258f6143a97b46cd477eb52f5983bcbff0b7e50b017e2bf3 |
| Notes | SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50 |
| OpenAccessLink | https://www.proquest.com/docview/2135829987?pq-origsite=%requestingapplication% |
| PQID | 2135829987 |
| PQPubID | 2050157 |
| ParticipantIDs | proquest_journals_2135829987 |
| PublicationCentury | 2000 |
| PublicationDate | 20181118 |
| PublicationDateYYYYMMDD | 2018-11-18 |
| PublicationDate_xml | – month: 11 year: 2018 text: 20181118 day: 18 |
| PublicationDecade | 2010 |
| PublicationPlace | Ithaca |
| PublicationPlace_xml | – name: Ithaca |
| PublicationTitle | arXiv.org |
| PublicationYear | 2018 |
| Publisher | Cornell University Library, arXiv.org |
| Publisher_xml | – name: Cornell University Library, arXiv.org |
| SSID | ssj0002672553 |
| Score | 1.6720665 |
| SecondaryResourceType | preprint |
| Snippet | Full-text search engines are important tools for information retrieval. Term proximity is an important factor in relevance score measurement. In a proximity... |
| SourceID | proquest |
| SourceType | Aggregation Database |
| SubjectTerms | Information retrieval Performance indices Proximity Queries Response time Search engines Software reviews Web site reviews |
| Title | Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes |
| URI | https://www.proquest.com/docview/2135829987 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELagBYmJt3iUygOr2zhxamdCgKjo0CoqHcpU-XGWujQlKVX777GTFAYkFpZIURbrYt999_m7O4TuwYYm0JwT97SEGaGIhMAQrijlETiETm05bIKPRmI6TdKacCtqWeXOJ5aO2mTac-TdkPqaTpcc8IflB_FTo_ztaj1CYx81fZeEsJTuvX1zLGGPO8QcVZeZZeuursw383XHhTXacZu7R3-54DKu9I__u6IT1EzlEvJTtAeLM3RY6jl1cY6maZ5tfO3SFvskk0ycD8aVtBh76hVLPK7UsYB9FQj2W8UbGbDa4iG4AIYzix-NmVdkIR74topQXKBJ_2Xy_ErqIQpExiEniQG3RpZIpiMhwLp0R1gXkiOZcMV62jDOQcWhjRMRKa2sDRSH2NOjHEJlo0vUWGQLuEKYKaspBaN4AMxwLbRDC9pBNEkjZmx8jVo7O83qg1DMfox08_fnW3TksIjwZX5UtFBjlX_CHTrQ69W8yNuo-fQySsft8v-6t3QwTN-_ANywsdY |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V07T8MwED7xFEy8xRsPMBrqxKmdASEEVFRAVUGHblVsn6UuLSS8-qP4j5yTFgYkNgYWL5YsJff67nyfD-AQfeRqVilOq-fSacMzrDmujBAqRkLowpfDJlSrpbvdtD0FHxMuTGirnPjE0lG7oQ018pNIBE4nJQfq7PGJh6lR4XZ1MkKjUosbHL1RylacNi9JvkdR1LjqXFzz8VQBniWR4qlDOkammbSx1ugJ_2tPMSrOUmVk3TqpFJok8kmqY2ON9zWjMAn1QoWR8TEdOw2zMjj_slPw4aukE9UVAfS4ujstXwo7yfL3_usxRVFxTLZUFz88fhnGGkv_7Acsw2w7e8R8BaZwsArzZbeqLdag286H74GZNWIhheYdijCsapxmobDMMnZf9f4iCxwXFgwhqBAyM2J3SOGZDT07d65flUJZMzwaicU6dP7iWzZgZjAc4CYwabwVAp1RNZROWW0JC1kCoJmIpfPJFuxOxNIbm3nR-5bJ9u_bB7Bw3bm77d02Wzc7sEioSwdCo9C7MPOcv-AezNnX536R75cqxaD3xxL8BOj4Cr4 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Proximity+Full-Text+Search+with+a+Response+Time+Guarantee+by+Means+of+Additional+Indexes&rft.jtitle=arXiv.org&rft.au=Veretennikov%2C+Alexander+B&rft.date=2018-11-18&rft.pub=Cornell+University+Library%2C+arXiv.org&rft.eissn=2331-8422&rft_id=info:doi/10.48550%2Farxiv.1811.07361 |