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Microsoft Academic Graph: When experts are not enough

Kuansan Wang, Zhihong Shen, Chi-Yuan Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia
2020 Quantitative Science Studies  
The knowledge extracted by these AI agents is organized into a heterogeneous graph, called Microsoft Academic Graph (MAG), where the nodes and the edges represent the entities engaging in scholarly communications  ...  of science by deploying software agents equipped with natural language understanding capabilities to read scholarly publications on the web.  ...  Junjie Qian contributed to the experiments of many large-scale algorithms described in this article.  ... 
doi:10.1162/qss_a_00021 fatcat:h5zlrnuhvrehfltjm3ipns6o4e

Semantic association ranking schemes for information retrieval applications using term association graph representation

K VENINGSTON, R SHANMUGALAKSHMI, V NIRMALA
2015 Sadhana (Bangalore)  
These approaches employ term association graph and has been evaluated using manually prepared real dataset and benchmark OHSUMED dataset. The results obtained are reasonably promising.  ...  In this paper, associations among words in the documents are assessed and it is expressed in Term Association Graph model to represent the document content and the relationship among the keywords.  ...  Acknowledgements The work presented in this paper was supported and funded by the Department of Science and Technology (DST), Ministry of Science and Technology, Government of India under INSPIRE scheme  ... 
doi:10.1007/s12046-015-0413-3 fatcat:pepzrt5o5ffczdwrlcmux5bk3y

Random Walks on the Reputation Graph

Sabir Ribas, Berthier Ribeiro-Neto, Rodrygo L.T. Santos, Edmundo de Souza e Silva, Alberto Ueda, Nivio Ziviani
2015 Proceedings of the 2015 International Conference on Theory of Information Retrieval - ICTIR '15  
Samuel and Alberto, thanks for being close friends and for all the discussions we had about life.  ...  Also, thanks for finishing your Ph.D. precisely on the same day and time as me, and not before. Otherwise, I would have to explain to people why my younger brother started later and finished before.  ...  Authors then construct a coauthorship graph and motivate the use of a variety of graph centrality measures to obtain a ranked list of experts.  ... 
doi:10.1145/2808194.2809462 dblp:conf/ictir/RibasRSSUZ15 fatcat:3u3ry2ijl5do3p2gbkagmgg2rm

Goals in Social Media, information retrieval and intelligent agents

Dimitra Papadimitriou, Yannis Velegrakis, Georgia Koutrika, John Mylopoulos
2015 2015 IEEE 31st International Conference on Data Engineering  
in database systems, social data, and the Web, as well as developers of web-based, databasedriven, and social applications, to work towards more user-centric systems and applications.  ...  This tutorial provides a comprehensive and cohesive overview of goal modeling and recognition approaches by the Information Retrieval, the Artificial Intelligence and the Social Media communities.  ...  Her scientific interests include large scale data mining and information extraction with a focus on usergenerated data.  ... 
doi:10.1109/icde.2015.7113421 dblp:conf/icde/PapadimitriouVK15 fatcat:qrbjikf4xngzvk5wrgbxbl4upu

Document Analysis and Retrieval Tasks in Scientific Digital Libraries [chapter]

Sujatha Das Gollapalli, Cornelia Caragea, Xiaoli Li, C. Lee Giles
2015 Communications in Computer and Information Science  
Consequently, the application of machine learning techniques for various large-scale IR tasks has gathered significant research interest in both the ML and IR communities.  ...  This tutorial provides a reference summary of our research in applying machine learning techniques to diverse tasks in Digital Libraries (DL).  ...  The metadata extracted from these document collections is used to construct author-document, citation and co-authorship graphs that facilitate different search applications.  ... 
doi:10.1007/978-3-319-25485-2_1 fatcat:dfz6nxsn7zaz5p6omsef5rkglu

Cross-Lingual Cross-Media Content Linking: Annotations and Joint Representations (Dagstuhl Seminar 15201)

Alexander G. Hauptmann, James Hodson, Juanzi Li, Nicu Sebe, Achim Rettinger, Marc Herbstritt
2015 Dagstuhl Reports  
Seminar May 10-13, 2015 -http://www.dagstuhl.de/15201 Different types of content belonging to multiple modalities (text, audio, video) and languages are generated from various sources.  ...  Participants from around the world participated in the seminar and presented state-of-the-art and ongoing research related to the seminar topic.  ...  Pacifico, Stefano, "Isaac Bloomberg Meets Michael Bloomberg: Better Entity Disambiguation for the News," in Proc. of 24th Int'l World Wide Web Conference (WWW'15) -Companion Volume, pp. 631-635, ACM, 2015  ... 
doi:10.4230/dagrep.5.5.43 dblp:journals/dagstuhl-reports/HauptmannHLSR15 fatcat:sjqptft2m5cufcpzslggt7la5i

A Bibliometric Study of Asia Pacific Software Engineering Conference from 2010 to 2015 [article]

Lov Kumar and Saikrishna Sripada and Ashish Sureka
2016 arXiv   pre-print
We conduct a bibliometric and scientific publication mining based study to how the conference has evolved over the recent past six years (year 2010 to 2015).  ...  of keynotes, workshops, conference organizers and sponsors, tutorials, identification of prolific authors, computation of citation impact of papers and contributing authors, internal and external collaboration  ...  The second most popular knowledge area for the year 2011 and 2012 is software testing and software construction respectively.  ... 
arXiv:1610.09635v1 fatcat:rokdcsvqifd5za6jh2vlvtqlrm

The Minimum Description Length Principle for Pattern Mining: A Survey [article]

Esther Galbrun
2021 arXiv   pre-print
After giving an outline of relevant concepts from information theory and coding, as well as of work on the theory behind the MDL and similar principles, we review MDL-based methods for mining various types  ...  Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration, the selection of patterns constitutes a major challenge.  ...  Constructive comments as well as pointers to missing related works are most welcome and will be considered to  ... 
arXiv:2007.14009v3 fatcat:v7zhxwfa5zhc7gd6msyews73ze

Specification of Web-based Analytics Methods and Tools D3.1

Laia Albó, Miriam Calvera Isabal, Sven Manske, David Roldán Álvarez
2021 Zenodo  
WP3 aims at extracting and further processing such pieces of information from web and social media sources.  ...  One of the central characteristics of the CS Track approach to investigating citizen science projects and activities is to focus on underlying types of participation, collaboration and knowledge creation  ...  This perspective implies that we will work on different levels of scale and granularity: Information mining together with web crawling and scraping techniques can address a larger number of projects, for  ... 
doi:10.5281/zenodo.5653454 fatcat:hq6g3lzdlbdm7pj5cmrccnilfa

Web Service Composition

Angel Lagares Lemos, Florian Daniel, Boualem Benatallah
2015 ACM Computing Surveys  
They turned the Web into the largest, most accepted, and most vivid distributed computing platform ever.  ...  Yet, the use and integration of Web services into composite services or applications, which is a highly sensible and conceptually non-trivial task, is still not unleashing its full magnitude of power.  ...  We see the evolution of the work in knowledge reuse following a prevailing direction, that of Composition Knowledge Graphs (CKGs).  ... 
doi:10.1145/2831270 fatcat:7guhotzxiffnxnygbwdufogr4q

Opinion Mining [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
scale.  ...  In: KDD 2010: The 16th ACM SIGKDD international conference on knowledge discovery and data mining, Washington, DC, 25-28 July Ugander J, Karrer B, Backstrom L, Kleinberg J (2013) Graph cluster randomization  ... 
doi:10.1007/978-1-4899-7687-1_100511 fatcat:oluapsjgxzh6nlkqujjj562lzi

Review of analytical instruments for EEG analysis [article]

S.N. Agapov, V.A. Bulanov, A.V. Zakharov, M.S. Sergeeva
2016 arXiv   pre-print
This article describes several classical analytical tools and also new one which appeared only several years ago.  ...  In order to start using EEG data we need not only EEG apparatus, but also some analytical tools and skills to understand what our data mean.  ...  , Müller, and Blankertz, 2015) .  ... 
arXiv:1605.01381v1 fatcat:s3lnpagrzrfwte2snshqcy6poa

Clustering and Association Rules for Web Service Discovery and Recommendation: A Systematic Literature Review

Waeal J. Obidallah, Bijan Raahemi, Umar Ruhi
2019 SN Computer Science  
The synthesis resulted in knowledge of currently proposed methods for web service discovery and recommendation based on clustering and association rule techniques.  ...  We propose a classification of web service discovery and recommendation methods and map the 57 final selected papers into these classes.  ...  ] WWW (J) 2014 6 6.5 [FS31] Taxonomic clustering and query matching for efficient service discovery [37] ICWS (C ) 2011 19 6.5 [FS32] Leveraging Auxiliary Knowledge for Web Service  ... 
doi:10.1007/s42979-019-0026-8 fatcat:zxtfyluvhjcexohiskvwtdr2jq

Download the Complete Issue (13.6MB)

Complete Issue
2015 Cartographic Perspectives  
and web-based technology.  ...  CLT posits that learning involves the construction of general knowledge structures called "schemas" that we construct in working memory and then store in long-term memory (Figure 1 ).  ...  This is a clear indication of increased activity in the field and of the necessity of spreading knowledge, noting problems, and initiating new discussions in the map generalization community.  ... 
doi:10.14714/cp80.1325 fatcat:evsjo2gtzjgztdec3e53oc73za

iCoRe: The GDELT Interface for the Advancement of Communication Research

Frederic R. Hopp, James Schaffer, Jacob T. Fisher, René Weber
2019 Computational Communication Research  
Despite GDELT's promise for advancing communication science, its massive scale and complex data structures have hindered efforts of communication scholars aiming to access and analyze GDELT.  ...  We thus developed iCoRe, an easy-to-use web interface that (a) provides fast access to the data available in GDELT, (b) shapes and processes GDELT for theory-driven applications within communication research  ...  Acknowledgements We would like to thank Andreas Boschke and Jeff Oakes from Letters & Science IT at the University of California Santa Barbara and Aristotle Cloud Federation for their assistance with virtual  ... 
doi:10.5117/ccr2019.1.002.hopp fatcat:agf5h5jogjg5bcg6mg24clkb7y
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