Ranked Retrieval of Structured Documents with the S-Term Vector Space Model

Weigel, Felix; Schulz, Klaus U.; Meuss, Holger

doi:10.1007/11424550_19

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…Schlieder and Meuse [2002], for example, describe an approach that combines tree matching with aspects of vector retrieval to support ranked XML retrieval. This work is extended in Weigel et al [2005] and applied to the INEX 2004 collection. The results show that their model, which depends heavily on the structure of the query, understandably produces better results for CAS than for CO queries (which rank in the lower 25%).…”

Section: Discussionmentioning

confidence: 99%

Dynamic element retrieval in a structured environment

Crouch

2006

ACM Trans. Inf. Syst.

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This research examines the feasibility of dynamic element retrieval in a structured environment. Structured documents and queries are represented in extended vector form, based on a modification of the basic vector space model suggested by Fox [1983]. A method for the dynamic retrieval of XML elements, which requires only a single indexing of the documents at the level of the basic indexing node, is presented. This method, which we refer to as flexible retrieval, produces a rank ordered list of retrieved elements that is equivalent to the result produced by the same retrieval against an all-element index of the collection. Flexible retrieval obviates the need for storing either an all-element index or multiple indices of the collection.

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Section: Discussionmentioning

confidence: 99%

Dynamic element retrieval in a structured environment

Crouch

2006

ACM Trans. Inf. Syst.

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“…A relevance value is computed only for those valid elements from the first step. A third extension is found in [43]. This model is adapted to represent the document structure and enhanced with a tree representation of the queries and documents.…”

Section: Related Workmentioning

confidence: 99%

Managing structured queries in probabilistic XML retrieval systems

Campos

Fernández‐Luna

Huete

et al. 2010

Information Processing & Management

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“…Most work on IR systems for structured documents focuses on segment (as opposed to entire document) retrieval, and techniques such as those for computing relevance for xml documents or for defining term weights within segments are very valuable in real‐time news retrieval. An article by Weigel, Schulz, & Meuss[4] is one of many possible references on these topics.…”

Section: All News Is Structuredmentioning

confidence: 99%

Searching real‐time financial news: PAR for the course

Rafsky¹

2009

Bul. Am. Soc. Info. Sci. Tech.

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R eal-time news (also known as live news, streaming news or breaking news) -especially news focused on business and financial mattersis widely read and builds up quickly. A typical newspaper/newswire aggregation system will process three stories per second around the clock, adding approximately 250,000 stories every business day to the collection. Large commercial systems substantially surpass this total.The needs and behavior of end-users searching collections of this type differ from general searching norms in several key aspects:I The computational burden is closer to the classic alert/routing problem than it is to the ad-hoc search problem.I Business work is about the opportunities of today and tomorrow. I All news is structured. I User queries do not typically consist of a few terms. I Users have a high degree of topic familiarity and topic focus. The Computational BurdenThe computational burden is closer to the classic alert/routing problem than it is to the ad-hoc search problem (these are standard terms-of-art in IR -as, for example, Robertson [1] explains). In fact it closely matches the batch routing problem, because (1) users save searches and re-execute them frequently (rather than entering searches in an ad-hoc manner) and (2) very little latency is tolerated by users. A news article arriving in the last few moments should be returned as a hit if the article is a search match to a justexecuted query. C O N T E N T S N E X T P A G E > N E X T A R T I C L E > < P R E V I O U S P A G E Search 2009Bulletin of the American Society for Information Science and Technology -October/November 2009 -Volume 36, Number 1 24Combine this low-latency requirement with a saved-search, re-execution cycle that is often a minute or less (programmed as web page auto-refresh), and the similarity with alerting becomes obvious. Thus the old folktheorem, "In search you have all the time you need to study the archive, and no time to study the query; in alerting you have all the time you need to study the query, and no time to study the archive," doesn't hold here.However, real-time news is still search. A static set of matches (in this case, news headlines and summaries) is returned, and the user demands some ranking of the results by meaningfulness and pertinence. In the alert problem it is sufficient to present the user with a temporal stream of matches; not so here.Thus real-time news search demands the computational agility of alerting and the semantic processing of search. The job is made somewhat easier by the batch nature of the query collection -the saved searches. In the commercial system NewsEdge™, of the last million searches (looking backward from August 15, 2009), approximately 96.5% of executed searches were repetitive submissions of stored queries. This statistic excludes users who specifically posted alerts and received a content push from NewsEdge -it refers only to users who requested (perhaps automatically) and received a web page of results.

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Ranked Retrieval of Structured Documents with the S-Term Vector Space Model

Cited by 5 publications

References 11 publications

Dynamic element retrieval in a structured environment

Dynamic element retrieval in a structured environment

Managing structured queries in probabilistic XML retrieval systems

Searching real‐time financial news: PAR for the course

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