Size- l object summaries for relational keyword search
نویسندگان
چکیده
منابع مشابه
Size-l Object Summaries for Relational Keyword Search
A previously proposed keyword search paradigm produces, as a query result, a ranked list of Object Summaries (OSs). An OS is a tree structure of related tuples that summarizes all data held in a relational database about a particular Data Subject (DS). However, some of these OSs are very large in size and therefore unfriendly to users that initially prefer synoptic information before proceeding...
متن کاملVersatile Size-$l$ Object Summariesfor Relational Keyword Search
The Object Summary (OS) is a recently proposed tree structure, which summarizes all data held in a relational database about a data subject. An OS can potentially be very large in size and therefore unfriendly for users who wish to view synoptic information about the data subject. In this paper, we investigate the effective and efficient retrieval of concise and informative OS snippets (denoted...
متن کاملA novel keyword search paradigm in relational databases: Object summaries
Article history: Received 2 January 2010 Received in revised form 3 November 2010 Accepted 3 November 2010 Available online 23 November 2010 This paper introduces a novel keyword search paradigm in relational databases, where the result of a search is an Object Summary (OS). An OS summarizes all data held about a particular Data Subject (DS) in a database. More precisely, it is a tree with a tu...
متن کاملThematic ranking of object summaries for keyword search
An Object Summary (OS) is a tree structure of tuples that summarizes the context of a particular Data Subject (DS) tuple. The OS has been used as a model of keyword search in relational databases; where given a set of keywords, the objective is to identify the DSs tuples relevant to the keywords and their corresponding OSs. However, a query result may return a large amount of OSs, which brings ...
متن کاملObject Semantics for XML Keyword Search
It is well known that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ances...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2011
ISSN: 2150-8097
DOI: 10.14778/2078331.2078338