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Topical categories of domains

STEVEN VICKERS
1999 Mathematical Structures in Computer Science  
It is shown how many techniques of categorical domain theory can be expressed in the general context of topical categories (where \topical" means internal in the category Top of Grothendieck toposes with  ...  The theory of strongly algebraic (SFP) domains is given as a case study in which the topical category is Cartesian closed.  ...  Acknowledgements The work was conducted with the support of Science and Engineering Research Council and its successor the Engineering and Physical Sciences Research Council through the Foundational Structures  ... 
doi:10.1017/s0960129599002741 fatcat:7m5ozehhrrdu3akneeuc6ebqty

Classification based topic extraction using domain-specific vocabulary: a supervised approach

Vandana Kalra, Indu Kashyap, Harmeet Kaur
2022 Indonesian Journal of Electrical Engineering and Computer Science  
Furthermore, the topics extracted from the classified clusters are highly relevant to domain categories.</span>  ...  Then, it transforms a classified cluster of documents from the domain corpus to the relevant topic making it more robust to noise.  ...  These category groups are then fed into the topic extraction module for identifying the context of the set of documents belonging to a particular domain category, as shown in Algorithm 2.  ... 
doi:10.11591/ijeecs.v26.i1.pp442-449 fatcat:th6cg5ux5jhmjl445p2b5tbgdu

Bootstrapping Domain Knowledge Exploration using Conceptual Mapping of Wikipedia

Mai Eldefrawi, Ahmed Sharaf, Adel Elsayed
2013 International Journal of Advanced Computer Science and Applications  
It's also a method of representation and analysis for describing the domain knowledge and for the extraction of the logical representation of a raw form of the domain knowledge.  ...  Such logical representation is of limited value in describing the real nature of domain knowledge.  ...  The focus of this paper was on scientific domains, this research can be experimented on other domains to measure how effective the proposed method can be with other domains.  ... 
doi:10.14569/ijacsa.2013.040813 fatcat:wzowaffcp5gy3ojbrdgqc4blqa

Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology [article]

Fang Han, Christopher L. Magee
2017 arXiv   pre-print
This paper adds to our understanding of the relationship through use of a more rigorous structure for differentiating among technologies based upon technological domains (defined as consisting of the artifacts  ...  The relationship of scientific knowledge development to technological development is widely recognized as one of the most important and complex aspects of technological evolution.  ...  The earlier version of this paper was presented at the 16th International Schumpeter Society Conference held in Montreal between July 6th and 8th, 2016.  ... 
arXiv:1705.00258v1 fatcat:prnacqthqfhppl72kizpxp4fue

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen
2014 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)  
; (3) the audiences of top expertise celebrities are more likely to forward tweets on topics outside the expertise domains from high-expertise celebrities.  ...  Our analysis gave a good explanation of the phenomenon of "top across-domain influencers".  ...  From manual inspection of the top ten topic words in the list of 100 topics, we identified nine content categories where the first four categories are the same as the domains of celebrities from Bing Influence  ... 
doi:10.1109/asonam.2014.6921626 dblp:conf/asunam/ZhaoLHLW14 fatcat:fccdcbev4rb2ddr3mrzjr7ina4

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen
2015 World wide web (Bussum)  
; (3) the audiences of top expertise celebrities are more likely to forward tweets on topics outside the expertise domains from high-expertise celebrities.  ...  Our analysis gave a good explanation of the phenomenon of "top across-domain influencers".  ...  From manual inspection of the top ten topic words in the list of 100 topics, we identified nine content categories where the first four categories are the same as the domains of celebrities from Bing Influence  ... 
doi:10.1007/s11280-015-0364-y fatcat:t7ah4js4gfd5pasa446aztkb6i

A Method for Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources

Ekaterina Chernyak, Boris Mirkin
2014 Procedia Computer Science  
every leaf; these are phrases explaining aspects of the leaf topic.  ...  the category should be assigned to the taxonomy topic or stay on intermediate levels.  ...  For each domain we choose only category of the same name, so there is no need to address any other categories.  ... 
doi:10.1016/j.procs.2014.05.260 fatcat:xwdbl32qhjdqberwgr6tsaeuya

Cross-Domain Topic Classification for Political Texts

Moritz Osnabrügge, Elliott Ash, Massimo Morelli
2021 Political Analysis  
We introduce and assess the use of supervised learning in cross-domain topic classification.  ...  To illustrate the usefulness of the method, we present two case studies on how electoral rules and the gender of parliamentarians influence the choice of speech topics.  ...  This method combines the low cost of unsupervised topic models with the high interpretability and validatability of within-domain supervised classifiers.  ... 
doi:10.1017/pan.2021.37 fatcat:hpkjommqjbbmtbe7l7fbdi4s6i

Domain-specific hierarchical subgraph extraction: A recommendation use case

Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth
2017 2017 IEEE International Conference on Big Data (Big Data)  
Given a domain, the domain-specificity of categories are determined by combining different types of evidence using a probabilistic framework.  ...  In this paper, we present an approach to extract domain-specific hierarchical subgraph from large knowledge graphs by identifying the domain-specificity of the categories in the hierarchy.  ...  These rules state that the membership of the category to the domain is determined by its topics and similarity of those topics to the domain term.  ... 
doi:10.1109/bigdata.2017.8257982 dblp:conf/bigdataconf/LalithsenaPKS17 fatcat:ctmcha5bs5dolkitvqpwkesoiu

Classifying and Ranking Microblogging Hashtags with News Categories [article]

Shuangyong Song, Yao Meng
2015 arXiv   pre-print
Finally, we calculate the domain-sensitive popularity of each hashtag with multiple factors, to get most hotly discussed hashtags in each domain.  ...  In this paper, we propose an approach that classifies hashtags with news categories, and then carry out a domain-sensitive popularity ranking to get hot hashtags in each domain.  ...  Training of Domain Classification Model We take advantage of news media that contains news articles classified into categories, because there is no information related to categories in microblogging.  ... 
arXiv:1505.00862v1 fatcat:4ewtbpwmn5fl3kjo5vbcj5rbs4

Quality Evaluation of Search Results by Typicality and Speciality of Terms Extracted from Wikipedia [chapter]

Makoto Nakatani, Adam Jatowt, Hiroaki Ohshima, Katsumi Tanaka
2009 Lecture Notes in Computer Science  
Moreover, we propose an application to calculate topic coverage and topic detailedness of Web search results by using terms extracted from Wikipedia.  ...  While there are many factors influencing quality perception of search results, we propose two important aspects that determine their usefulness, "topic coverage" and "topic detailedness".  ...  This work was supported in part by the following projects and institutions: Grants-in-Aid for Scientific Research (Nos. 18049041 and 18049073) from MEXT of Japan, a MEXT project entitled "Software Technologies  ... 
doi:10.1007/978-3-642-00887-0_50 fatcat:usswis7jo5g53kjy3sxl57ba2i

Domain Independent Authorship Attribution without Domain Adaptation

Rohith Menon, Yejin Choi
2011 Recent Advances in Natural Language Processing  
need for domain adaptation when supplied with a large amount of data.  ...  Automatic authorship attribution, by its nature, is much more advantageous if it is domain (i.e., topic and/or genre) independent.  ...  In order to remove topic bias in authors, we rely on the catalog of project Gutenberg. Categories of project Gutenberg correspond to the mixture of topics and genre.  ... 
dblp:conf/ranlp/MenonC11 fatcat:epin7b7qknhthmh6ukykgrkpkq

Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources

Ekaterina Chernyak, Boris Mirkin
2015 Annals of Data Science  
On the next steps, the frame is refined at a chosen topic using the Wikipedia category tree and articles, both cleaned of noise.  ...  The resulting fragment of taxonomy consists of three parts: the manually set upper layer topic, the adopted part of the Wikipedia category tree and Wikipedia articles as leaves.  ...  0.6210 Algorithms for numerical problem solving Table 10 Examples of categories, that form intermediate layers Domain Relevance to taxonomy topic Taxonomy topic Relevance to parental category  ... 
doi:10.1007/s40745-015-0032-1 fatcat:ndhrwhgl5zg3fhqyeh5msznuru

Evolution of IT, Management and Industrial Engineering research: a topic model approach

Mohammad Rabiei, Seyyed-Mahdi Hosseini-Motlagh, Abdorrahman Haeri, Behrouz minaei bidgoli
2020 Scientia Iranica. International Journal of Science and Technology  
The aim of this study is analyzing the research evolution, determining the important topics and areas and depiction the trend of interdisciplinary topics in these domains.  ...  Moreover, a novel approach was proposed to determine the high-level category for each topic.  ...  In some cases, a high-level category of a corpus is just seen in the second high-level category of topics ( P,t Cat2 ).  ... 
doi:10.24200/sci.2020.53582.3312 fatcat:ntdl4gfconeqrcwqnrkuysacai

Separate and inequal

Lan Nie, Brian D. Davison
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
In this work we determine domains of authority by examining the contexts in which a page is cited.  ...  However, we find that it is not enough to determine separate domains of authority; our model additionally determines the local flow of authority based upon the relative similarity of the source and target  ...  Alternatively, since each context in the domain is labeled with the same category tag , we can simply use the tag to denote the domain at "category level".  ... 
doi:10.1145/1390334.1390411 dblp:conf/sigir/NieD08 fatcat:engjl4fsnrbhjewh6bugrzl6t4
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