منابع مشابه
Keyword++: A Framework to Improve Keyword Search Over Entity Databases
Keyword search over entity databases (e.g., product, moviedatabases) is an important problem. Current techniques forkeyword search on databases may often return incompleteand imprecise results. On the one hand, they either requirethat relevant entities contain all (or most) of the query key-words, or that relevant entities and the query keywords oc-cur together in severa...
متن کاملPeer-to-Peer Keyword Search Using Keyword Relationship
Decentralized and unstructured peer-to-peer (P2P) networks such as Gnutella are attractive for Internet-scale information retrieval and search systems because they require neither any centralized directory nor any centralized management of overlay network topology and data placement. However, due to this decentralized architecture, current P2P keyword search systems lack useful global knowledge...
متن کاملAssisted keyword indexing for lecture videos using unsupervised keyword spotting
Many students use videos to supplement learning outside the classroom. This is particularly important for students with challenged visual capacities, for whom seeing the board during lecture is di cult. For these students, we believe that recording the lectures they attend and providing e↵ective video indexing and search tools will make it easier for them to learn course subject matter at their...
متن کاملKeyword Join: Realizing Keyword Search in P2P-based Database Systems
In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integrat...
متن کاملSemantic-Based Keyword Recovery Function for Keyword Extraction System
The goal of implementing a keyword extraction system is to increase as near as 100% of precision and recall. These values are affected by the amount of extracted keywords. There are two groups of errors happened i.e. false-rejected and false-accepted keywords. To improve the performance of the system, false-rejected keywords should be recovered and the false-accepted keywords should be reduced....
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ژورنال
عنوان ژورنال: Cultural Studies Review
سال: 2018
ISSN: 1837-8692,1446-8123
DOI: 10.5130/csr.v24i1.5964