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SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 10 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
DAGSTUHL
2004
13 years 8 months ago
An Example for Metamodeling Syntax and Semantics of Two Languages, their Transformation, and a Correctness Criterion
We study a metamodel for the Entity Relationship (ER) and the Relational data model. We do this by describing the syntax of the ER data model by introducing classes for ER schemata...
Martin Gogolla
WWW
2006
ACM
14 years 8 months ago
Bringing communities to the semantic web and the semantic web to communities
In this paper we consider the types of community networks that are most often codified within the Semantic Web. We propose the recognition of a new structure which fulfils the def...
K. Faith Lawrence, Monica M. C. Schraefel
AGILE
2008
Springer
142views GIS» more  AGILE 2008»
14 years 1 months ago
GeoSR: Geographically Explore Semantic Relations in World Knowledge
Methods to determine the semantic relatedness (SR) value between two lexically expressed entities abound in the field of natural language processing (NLP). The goal of such efforts...
Brent Hecht, Martin Raubal
ICASSP
2007
IEEE
14 years 1 months ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi