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Constructing topical hierarchies in heterogeneous information networks

Chi Wang, Jialu Liu, Nihit Desai, Marina Danilevsky, Jiawei Han
2014 Knowledge and Information Systems  
In this work we present an algorithm for recursively constructing multi-typed topical hierarchies.  ...  Constructing high-quality concept hierarchies that can represent topics at multiple granularities benefits tasks such as search, information browsing, and pattern mining.  ...  CONCLUSION In this work, we address the problem of constructing a multi-typed topical hierarchy from heterogeneous information networks.  ... 
doi:10.1007/s10115-014-0777-4 fatcat:exhvtiyr7nd4nhshh5kf2uoiau

Constructing Topical Hierarchies in Heterogeneous Information Networks

Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, Jiawei Han
2013 2013 IEEE 13th International Conference on Data Mining  
In this work we present an algorithm for recursively constructing multi-typed topical hierarchies.  ...  Constructing high-quality concept hierarchies that can represent topics at multiple granularities benefits tasks such as search, information browsing, and pattern mining.  ...  CONCLUSION In this work, we address the problem of constructing a multi-typed topical hierarchy from heterogeneous information networks.  ... 
doi:10.1109/icdm.2013.53 dblp:conf/icdm/WangDLDJH13 fatcat:rfn4w3f7ufeg5fw7asip4exxfy

NewsNetExplorer

Fangbo Tao, Yizhou Sun, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
By further developing a set of information extraction, information network construction, and information network mining methods, we extract types, topical hierarchies and other semantic structures from  ...  news data, construct a semistructured news information network NewsNet.  ...  Moreover, we have recently developed a phrase mining framework for recursive construction of topical hierarchies from text data [10] and from heterogeneous information networks [11] .  ... 
doi:10.1145/2588555.2594537 dblp:conf/sigmod/TaoBHJWNELRS14 fatcat:iqzfctmbvvba7d3gxrirds4ahu

Bringing structure to text

Jiawei Han, Chi Wang, Ahmed El-Kishky
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
Mining phrases, entity concepts, topics, and hierarchies from massive text corpus is an essential problem in the age of big data.  ...  topical groupings and hierarchies of the underlying themes.  ...  Acknowledgments The work was supported in part by the U.  ... 
doi:10.1145/2623330.2630804 dblp:conf/kdd/HanWE14 fatcat:wcq4brxwnvf4nkpiv5txqkdwuy

Mining Knowledge from Data: An Information Network Analysis Approach

Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2012 2012 IEEE 28th International Conference on Data Engineering  
The topics to be covered include (i) database as an information network, (ii) mining information networks: clustering, classification, ranking, similarity search, and meta path-guided analysis, (iii) construction  ...  of quality, informative networks by data mining, (iv) trend and evolution analysis in heterogeneous information networks, and (v) research frontiers.  ...  Air Force Office of Scientific Research MURI award FA9550-08-1-0265, and MIAS, a DHS-IDS Center for Multimodal Information Access and Synthesis at UIUC.  ... 
doi:10.1109/icde.2012.145 dblp:conf/icde/HanSYY12 fatcat:3yobocvu4venromba6dcshtw2e

AMETHYST

Marina Danilevsky, Chi Wang, Fangbo Tao, Son Nguyen, Gong Chen, Nihit Desai, Lidan Wang, Jiawei Han
2013 Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13  
In this demo we present AMETHYST, a system for exploring and analyzing a topical hierarchy constructed from a heterogeneous information network (HIN).  ...  Many have a text component, and thus can benefit from a high quality hierarchical organization of the topics in the network dataset.  ...  INTRODUCTION Heterogeneous Information Networks (HINs), composed of multiple types of entities and links are very common in the real world, and have become increasingly more important to analyze and understand  ... 
doi:10.1145/2487575.2487716 dblp:conf/kdd/DanilevskyWTNCDWH13 fatcat:z3r2hwkcb5dorcfj77y2z2qyxi

FaceCloud

Benjamin Renoust, Haolin Ren, Guy Melançon, Marie-Luce Viaud, Shin'ichi Satoh
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
We can leverage on these objects to extract hierarchies and integrate them in an interactive heterogeneous "visual cloud".  ...  Multiplex networks, which model multiple families of interactions in a graph, can capture and combine both sources of semantics.  ...  From this hierarchy of concepts, we construct a hybrid "visual cloud" combining image and textual information extracted from the query resultsthat we call FaceCloud (Fig. 1 ).  ... 
doi:10.1145/3123266.3127917 dblp:conf/mm/RenoustRMVS17 fatcat:psz7fmq3svfs3apikfx2es3juy

iNextCube

Yintao Yu, Bo Zhao, Cindy X. Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang
2009 Proceedings of the VLDB Endowment  
Based on our previous studies on TextCube [1], TopicCube [2], and information network analysis, such as RankClus [3] and NetClus [4], we construct iNextCube, an information-Network-enhanced text Cube.  ...  To enhance the power of data analysis, interesting entities and relationships can be extracted from such databases to derive heterogeneous information networks, which in turn will substantially increase  ...  In addition, topic modeling and topic hierarchy construction methods will be further developed and applied to extraction of additional hierarchies and clusters from the text data.  ... 
doi:10.14778/1687553.1687608 fatcat:ikas64hehzewjk5cgr3i4nwd5q

Knowledge Discovery from Biomedical Ontologies in Cross Domains

Feichen Shen, Yugyung Lee, Tudor Groza
2016 PLoS ONE  
These patterns are used to cluster heterogeneous information networks into a set of smaller topic graphs in a hierarchical manner and then to conduct cross domain knowledge discovery from the multiple  ...  For the purpose, we fully focus on the discovery of semantic patterns about the association of relations in the heterogeneous information network representing different types of objects and relationships  ...  In the topic hierarchy, topics are analyzed for preserving neighboring information of relationships that are relevant in a given context (topic) in a heterogeneous information network.  ... 
doi:10.1371/journal.pone.0160005 pmid:27548262 pmcid:PMC4993478 fatcat:r6cj4bg3uveane7t6g6x34ai5q

Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity [article]

Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh
2020 arXiv   pre-print
We propose to augment the PCNet with the hierarchy of legal statutes, to form a heterogeneous network Hier-SPCNet, having citation links between case documents and statutes, as well as citation and hierarchy  ...  Computing similarity between two legal case documents is an important and challenging task in Legal IR, for which text-based and network-based measures have been proposed in literature.  ...  Acknowledgements: The authors thank the law students who helped in developing the gold standard data.  ... 
arXiv:2007.03225v1 fatcat:x2v25gazb5bgtlbb2sonywfmgy

Mining heterogeneous information networks

Yizhou Sun, Jiawei Han
2013 SIGKDD Explorations  
and links in the networks, and develop a structural analysis approach on mining semi-structured, multi-typed heterogeneous information networks.  ...  Most objects and data in the real world are of multiple types, interconnected, forming complex, heterogeneous but often semi-structured information networks.  ...  typed objects in a heterogeneous information network often provide critical information for generating high quality, finelevel concept hierarchies.  ... 
doi:10.1145/2481244.2481248 fatcat:ovj4ra5qqjb6xjoox64ctdlfwm

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings [article]

Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han
2018 arXiv   pre-print
In addition, different types of objects interact with one another, which naturally forms heterogeneous information networks.  ...  Considering the candidate ranking, the heterogeneous information network structure, while being largely ignored in the previous studies of expert finding, provides additional information.  ...  Heterogeneous Bibliographical Networks A heterogeneous bibliographical network is constructed from bibliographical data.  ... 
arXiv:1803.03370v1 fatcat:sonvdldbkjaxzlckigevhmsaeq

Information Organization Patterns from Online Users in a Social Network

Chengzhi Zhang, Hua Zhao, Xuehua Chi, Shuitian Ma
2019 Knowledge organization  
We propose a multi-dimensional framework to organize information by connecting UGCs, users, and user communities. First, we use a topic model to generate a topic hierarchy from UGCs.  ...  The results reveal that: 1) our proposed framework can organize information from multiple sources in a user-centered way; 2) hierarchical topic structures can provide comprehensive and in-depth topics  ...  Zhu et al. (2013) proposed topic hierarchy construction for UGCs, while Li (2013) constructed the hierarchical architecture in an entity-based formalism.  ... 
doi:10.5771/0943-7444-2019-2-90 fatcat:4n7ayypzuza7nisxgf33tq3hpu

OLAP on Information Networks: A New Framework for Dealing with Bibliographic Data [chapter]

Wararat Jakawat, Cécile Favre, Sabine Loudcher
2014 Advances in Intelligent Systems and Computing  
They could be represented as heterogeneous information networks, in which there are multiple object and link types. In this paper, we are focusing on bibliographic data.  ...  In this context, we discuss the interest of combining information networks, OLAP and data mining technologies.  ...  In parallel, data warehouses and OLAP (Online Analytical Processing) could be very useful for dealing with heterogeneous information networks.  ... 
doi:10.1007/978-3-319-01863-8_38 fatcat:bwu3omhlo5blxmpbz5i2zld2ua

A Survey of Heterogeneous Information Network Analysis [article]

Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015 arXiv   pre-print
In this paper, we provide a survey of heterogeneous information network analysis.  ...  We will introduce basic concepts of heterogeneous information network analysis, examine its developments on different data mining tasks, discuss some advanced topics, and point out some future research  ...  To make use of both textual information and heterogeneous linked entities, Wang et al. [82] develop a clustering and ranking algorithm to automatically construct multi-typed topical hierarchies.  ... 
arXiv:1511.04854v1 fatcat:n2k3sulq3fbq3e34lrfrv3uoou
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