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Evolutionary fine-tuning of automated semantic annotation systems

John Cuzzola, Jelena Jovanović, Ebrahim Bagheri, Dragan Gašević
2015 Expert systems with applications  
However, the configuration of semantic annotators is presently a tedious and time consuming task as it is primarily based on a manual trialanderror process.  ...  We describe the core fitness functions of PTA that operate on the quality of the annotations produced, and offer a solution, based on a genetic algorithm, for searching the space of possible parameter  ...  such as text search and retrieval systems, various contentbased recommender systems, systems that rely on semantics of textual content to support personal or business decision making and the like.  ... 
doi:10.1016/j.eswa.2015.04.054 fatcat:yn7dm2tpondvfi4zlna6735hpm

Similarity-based Change Detection for RDF in MapReduce

Taewhi Lee, Dong-Hyuk Im, Jongho Won
2016 Procedia Computer Science  
In this paper, we describe the implementation details of similarity-based RDF change detection techniques on the well-known distributed processing framework, MapReduce.  ...  Managing and analyzing huge amount of heterogeneous data are essential for various services in the Internet of Things (IoT).  ...  Data [5] They have proposed to encode sensor data as RDF triples for the semantic sensor web [2] and semantic IoT models [3] .  ... 
doi:10.1016/j.procs.2016.07.081 fatcat:alss7xpksfeobei5g6ci4vbe34

Automatic Computation of Semantic Proximity Using Taxonomic Knowledge [chapter]

Cai-Nicolas Ziegler, Kai Simon, Georg Lausen
2012 Studies in Computational Intelligence  
These metrics are versatile instruments required for diverse applications, e.g., the Semantic Web, linguistics, and also text mining.  ...  Studies with human subjects corroborate our hypothesis that our new metric outperforms benchmark semantic proximity metrics and comes close to human judgement.  ...  In addition, the authors would like to thank Thomas Hornung, Karen Tso, Matthias Ihle, and Paolo Massa for fruitful discussions and careful proofreading.  ... 
doi:10.1007/978-3-642-27714-6_10 fatcat:pjx2n7rdtvf6pcaevkzb3ct74e

Automatic computation of semantic proximity using taxonomic knowledge

Cai-Nicolas Ziegler, Kai Simon, Georg Lausen
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
These metrics are versatile instruments required for diverse applications, e.g., the Semantic Web, linguistics, and also text mining.  ...  Studies with human subjects corroborate our hypothesis that our new metric outperforms benchmark semantic proximity metrics and comes close to human judgement.  ...  In addition, the authors would like to thank Thomas Hornung, Karen Tso, Matthias Ihle, and Paolo Massa for fruitful discussions and careful proofreading.  ... 
doi:10.1145/1183614.1183682 dblp:conf/cikm/ZieglerSL06 fatcat:7y6hpscggza7ndp2eo64g4apui

Web-Scale Multimedia Information Networks

Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas S. Huang
2012 Proceedings of the IEEE  
| The abundance of multimedia data on the Web presents both challenges (how to annotate, search, and mine) and opportunities (crawling the Web to create large structured multimedia data bases which can  ...  Ontology and cross-media structures are constructed and expanded by automatically constructing MINets from web-scale data by state-of-the-art information extraction and knowledge-based population techniques  ...  [48] described a semantic similarity metric based on keyword vectors for multimedia fusion.  ... 
doi:10.1109/jproc.2012.2201909 fatcat:4hcia4agvbaija2kx5ynj2esse

Short Text Embedding Autoencoders with Attention-based Neighborhood Preservation

Chao Wei, Lijun Zhu, Jiaoxiang Shi
2020 IEEE Access  
Besides, AWMD is a similarity metric, B.  ...  We evaluated the clustering results for 5 iterations via two common estimation metrics: accuracy ( ) and the normalized mutual information metric ( ).  ... 
doi:10.1109/access.2020.3042778 fatcat:k4rn6rwurzcpheet74zudnfwfu

Optimizing real-time RDF data streams [article]

Joshua Shinavier
2010 arXiv   pre-print
While there exist numerous protocols and data formats for exchanging dynamic RDF data, or RDF updates, these options should be examined carefully in order to enable a Semantic Web equivalent of the high-throughput  ...  This paper contains a brief survey of RDF update formats and a high-level discussion of both TCP and UDP-based transport protocols for updates.  ...  Special thanks go to Jans Aasman and Marko A. Rodriguez, among many others, for their helpful feedback.  ... 
arXiv:1011.3595v1 fatcat:xmeckwawtrdyfjeknb3c3sgriy

WSIM: Detecting Clone Pages Based on 3-Levels of Similarity Clues

Woosung Jung, Chisu Wu, Eunjoo Lee
2010 2010 IEEE/ACIS 9th International Conference on Computer and Information Science  
In this paper, WSIM has been suggested to measure similarity in web applications, based on the usage degree of clues and two linking directions.  ...  The similarity measure is one of the principal criteria in these approaches. Existing studies on web similarity focused on semantic or context similarity.  ...  Those similarity metrics are commonly based on the link structure, and their purpose is to find semantically similar web pages to the 'query page'.  ... 
doi:10.1109/icis.2010.102 dblp:conf/ACISicis/JungWL10 fatcat:6wx2yuvmw5gt3bopoxrezf3obq

Cross-lingual Semantic Parsing [article]

Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018 arXiv   pre-print
We introduce the task of cross-lingual semantic parsing: mapping content provided in a source language into a meaning representation based on a target language.  ...  We present: (1) a meaning representation designed to allow systems to target varying levels of structural complexity (shallow to deep analysis), (2) an evaluation metric to measure the similarity between  ...  We design an evaluation metric S (φ,ψ) that computes the similarity between two graph representations as shown Fig. 2(b) . φ is the function to score the similarity between two instances, and ψ scores  ... 
arXiv:1804.08037v1 fatcat:yjeraxcgwffehdaby3fiswlnlu

Knowledge Graphs Evolution and Preservation – A Technical Report from ISWS 2019 [article]

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw (+62 others)
2020 arXiv   pre-print
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR  ...  Surely, LOD provides a unique testbed for experimenting and evaluating research hypotheses on open and FAIR KG.  ...  Acknowledgement We would like to thank everyone who contributed to the organisation of ISWS, the students who are its soul and motivating engine, and the sponsors.  ... 
arXiv:2012.11936v1 fatcat:frdu4fyci5f2da5atmjtanubia

A Survey of Model Comparison Approaches and Applications
english

Matthew Stephan, James R. Cordy
2013 Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development  
We find that many of the latest model comparison techniques are geared towards facilitating arbitrary meta models and use similarity-based matching.  ...  Recently, however, work on comparison for versioning has begun to stagnate, giving way to other applications.  ...  Similarly to UMLDiff, it uses similarity-based metrics.  ... 
doi:10.5220/0004311102650277 dblp:conf/modelsward/StephanC13 fatcat:lb43apqflbhwnmnd4h32tdwr7i

A Framework for Creating Semantically Adaptive Collaborative E-learning Environments

Marija Cubric, Vibha Tripathi
2009 International Journal of Emerging Technologies in Learning (iJET)  
In this paper we present a semantic web framework that can be used to generate web-based, e-learning and e-assessment environments for any given knowledge domain.  ...  The main deployment scenario for the framework is a web-service providing collaborative e-learning and knowledge management capabilities to various learning communities.  ...  ., and Studer, (2001) Elearning based on the Semantic Web.  ... 
doi:10.3991/ijet.v4i3.823 fatcat:zchd7ljnsnfqjhxt4xbwu4erlm

Extracting query facets from search results

Weize Kong, James Allan
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
To assist information finding for such faceted queries, we explore a technique that explicitly represents interesting facets of a query using groups of semantically related terms extracted from search  ...  We name these groups query facets and the terms in these groups facet terms. We develop a supervised approach based on a graphical model to recognize query facets from the noisy candidates found.  ...  In this paper, we apply pattern-based semantic class extraction on the top-ranked Web documents to extract candidates for finding query facets.  ... 
doi:10.1145/2484028.2484097 dblp:conf/sigir/KongA13 fatcat:xiowfmhnuja2xpzvkxvgmpiywi

A densitometric approach to web page segmentation

Christian Kohlschütter, Wolfgang Nejdl
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
Besides the obvious benefits for Web-based news clipping etc., removing template noise might also increase classifier performance. (3) Keyword-based Web search.  ...  Web Page segmentation is a crucial step for many applications in Information Retrieval, such as text classification, de-duplication and full-text search.  ...  Gabriel Altmann for providing the Altmann Fitter software and for his good advice on details of discrete distribution functions used in Quantitative Linguistics.  ... 
doi:10.1145/1458082.1458237 dblp:conf/cikm/KohlschutterN08 fatcat:ncuok4iafbeqrkzsmxid457k6q

A survey of graphs in natural language processing

VIVI NASTASE, RADA MIHALCEA, DRAGOMIR R. RADEV
2015 Natural Language Engineering  
We provide an overview of how Natural Language Processing problems have been projected into the graph framework, focusing in particular on graph construction – a crucial step in modeling the data to emphasize  ...  Similarity and relatedness measures A large class of methods for semantic similarity consists of metrics calculated on existing semantic networks such as WordNet and Roget, by applying, for instance, shortest  ...  The edges are drawn based on a variety of similarity metrics, relying on lexical resources (such as WordNet) or distributional representation from a corpus or the Web.  ... 
doi:10.1017/s1351324915000340 fatcat:knbsaqnd6ngahmv4m4tub32o6y
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