{"id":158949,"date":"2010-06-06T00:00:00","date_gmt":"2010-06-06T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/query-portals-dynamically-generating-portals-for-entity-oriented-web-queries\/"},"modified":"2018-10-16T21:13:36","modified_gmt":"2018-10-17T04:13:36","slug":"query-portals-dynamically-generating-portals-for-entity-oriented-web-queries","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/query-portals-dynamically-generating-portals-for-entity-oriented-web-queries\/","title":{"rendered":"Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries"},"content":{"rendered":"<p>Many web queries seek information about named entities (such as products or people). Web search engines federate such entity-oriented queries to relevant structured databases; the results of those searches are then returned to the user along with web search results. Current federated approaches have two limitations: (i) they often fail to return important results for a broad class of such entity-oriented queries and (ii) the information they return per entity is often inadequate. In this paper, we present the Query Portals system that addresses these limitations. The Query Portals system dynamically generates a portal for an entity-oriented query. It \ufb01rst provides an overview of the relevant entities and further allows users to drill down to gather additional information on these entities. Our architecture uses a judicious combination of pre-processing and query time techniques so that the query portal can be generated e\ufb03ciently.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Many web queries seek information about named entities (such as products or people). Web search engines federate such entity-oriented queries to relevant structured databases; the results of those searches are then returned to the user along with web search results. Current federated approaches have two limitations: (i) they often fail to return important results for [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Association for Computing Machinery, Inc.","msr_publisher_other":"","msr_booktitle":"International Conference on Management of Data (SIGMOD 2010)","msr_chapter":"","msr_edition":"International Conference on Management of Data (SIGMOD 2010)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"Copyright \u00a9 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and\/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM's Digital Library --http:\/\/www.acm.org\/dl\/.","msr_conference_name":"International Conference on Management of Data (SIGMOD 2010)","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Venkatesh Ganti, Arnd Christian K\u00f6nig","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2010-06-06","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":2010,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13555],"msr-publication-type":[193716],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-158949","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-search-information-retrieval","msr-locale-en_us"],"msr_publishername":"Association for Computing Machinery, Inc.","msr_edition":"International Conference on Management of Data (SIGMOD 2010)","msr_affiliation":"","msr_published_date":"2010-06-06","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"International Conference on Management of Data (SIGMOD 2010)","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"207075","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"p1171-agrawal.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/p1171-agrawal.pdf","id":207075,"label_id":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[{"id":207075,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/p1171-agrawal.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"sagrawal","user_id":33490,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=sagrawal"},{"type":"user_nicename","value":"kaushik","user_id":32503,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=kaushik"},{"type":"user_nicename","value":"surajitc","user_id":33764,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=surajitc"},{"type":"text","value":"Venkatesh Ganti","user_id":0,"rest_url":false},{"type":"user_nicename","value":"chrisko","user_id":31427,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=chrisko"},{"type":"text","value":"Arnd Christian K\u00f6nig","user_id":0,"rest_url":false},{"type":"user_nicename","value":"dongxin","user_id":31666,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=dongxin"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[957177],"msr_project":[170672,169514],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":170672,"post_title":"Entity Search and Query Portals","post_name":"entity-search-and-query-portals","post_type":"msr-project","post_date":"2011-03-07 19:19:42","post_modified":"2017-06-08 16:59:10","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/entity-search-and-query-portals\/","post_excerpt":"The goal of entity search is to return entities (e.g., people, products, locations) relevant to a keyword query. 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