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Matching titles with cross title web-search enrichment and community detection

Nikhil Londhe, Vishrawas Gopalakrishnan, Aidong Zhang, Hung Q. Ngo, Rohini Srihari
2014 Proceedings of the VLDB Endowment  
The first component uses Web searches to "enrich" the given pair of titles: making titles that refer to the same physical entity more similar, and those which do not, much less similar.  ...  A "strength of ties" style of clustering algorithm is then applied on this to see whether they form one cohesive "community" (matching titles), or separately clustered communities (mismatching titles).  ...  Typically a Web search API returns an XML with three fields for each result: title, abstract and the URL of the Web-page.  ... 
doi:10.14778/2732977.2732990 fatcat:ne75tc3rjnd7heeryb3cwnidf4

A New Approach to Information Extraction in User-Centric E-Recruitment Systems

Malik Nabeel Ahmed Awan, Sharifullah Khan, Khalid Latif, Asad Masood Khattak
2019 Applied Sciences  
The extracted information entities are enriched with knowledge using Linked Open Data.  ...  Given the enormous volume of information related to job descriptions and users' profiles, it is complicated to appropriately match a user's profile with a job description, and vice versa.  ...  The enrichment of job description entities will help with increasing the search space and better job-profile matching.  ... 
doi:10.3390/app9142852 fatcat:sy62dzuvcra7zfi44xm64ytwom

Event analysis in social multimedia: a survey

Xueliang Liu, Meng Wang, Benoit Huet
2015 Frontiers of Computer Science  
In this article, we provide a comprehensive survey on event based analysis over social multimedia data, including event enrichment, detection, and categorization.  ...  The study of event based analysis on social multimedia data has drawn intensive attention in research community.  ...  The re-search community has proposed many different solutions and approaches for modeling, detecting, and processing events [10] [11] [12] .  ... 
doi:10.1007/s11704-015-4583-2 fatcat:zzorgzefyfdiremape4xi2u5bi

A machine learning approach for product matching and categorization

Petar Ristoski, Petar Petrovski, Peter Mika, Heiko Paulheim, Claudia d'Amato
2018 Semantic Web Journal  
In this paper, we present an approach that leverages deep learning techniques in combination with standard classification approaches for product matching and categorization.  ...  boost the performance of the feature extraction model, thus leading to better product matching and categorization performances.  ...  The approach first enriches the offer's title with tokens using web search engine.  ... 
doi:10.3233/sw-180300 fatcat:vf44he52vbdm7hvigq3faqs6wm

Enriching scientific publications with semantically related data

Arben Hajra, Klaus Tochtermann, Vladimir Radevski
2013 Balkan Conference in Informatics  
The purpose of this paper is to describe the use of LOD and semantic technologies to allow content and search results enrichment for digital libraries, with an emphasis to EconBiz case study.  ...  This would allow detection and alignment of similar publications from different areas, author details, co-authors relativeness, events, organizations, etc.  ...  If we begin to search with a keyword in local repository, e.g. EconStor, there will be a set of concepts, terms and metadata which match that keyword.  ... 
dblp:conf/bci/HajraTR13 fatcat:syrjoet6yfdvncjgb63pxq63uu

Enriching Product Ads with Metadata from HTML Annotations [chapter]

Petar Ristoski, Peter Mika
2016 Lecture Notes in Computer Science  
We use these features to identify matching products across different online shops and enrich product ads with the extracted data.  ...  Product ads are a popular form of search advertizing offered by major search engines, including Yahoo, Google and Bing.  ...  We would also like to acknowledge the support, help and insights of the Yahoo Gemini Product Ads engineering and the Yahoo Labs Advertising Sciences teams, in particular Nagaraj Kota and Ben Shahshahani  ... 
doi:10.1007/978-3-319-34129-3_10 fatcat:ojhfttlz7jfrbf7x2rc6lyttxa

BibGlimpse: The case for a light-weight reprint manager in distributed literature research

Thomas Tüchler, Golda Velez, Alexandra Graf, David P Kreil
2008 BMC Bioinformatics  
Building on an established open search engine, full-text search and structured queries are supported, while at the same time making shared collections of annotated reprints accessible to literature classification  ...  and text-mining tools.  ...  Seibersdorf (ARCS), and Baxter AG.  ... 
doi:10.1186/1471-2105-9-406 pmid:18828894 pmcid:PMC2571996 fatcat:sratjwjp2fbxboo777xari4kj4

A case for query by image and text content

Tom Yeh, Brandyn White, Jose San Pedro, Boriz Katz, Larry S. Davis
2011 Proceedings of the 20th international conference on World wide web - WWW '11  
We find that the system is able to retrieve matching screenshots for a wide variety of programs, across language boundaries, and provide subjectively more useful results than keyword-based web and image  ...  As a result, few systems offer the option of querying by visual examples, and rely on automatic concept detection and tagging techniques to provide support for searching visual content using textual queries  ...  For Bing Web Search and Bing Image Search, a query is a set of words in the title of the application window plus the name of the operating system (e.g., system preferences mac).  ... 
doi:10.1145/1963405.1963513 dblp:conf/www/YehWPKD11 fatcat:6hwh7jweyzalbj3gdrsgt7hi34

Creating and Exploiting a Hybrid Knowledge Base for Linked Data [chapter]

Zareen Syed, Tim Finin
2011 Communications in Computer and Information Science  
The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations.  ...  We will review the evolution of the idea and technologies to realize a Web of Data and describe how we are exploiting them to enhance information retrieval and information extraction.  ...  Acknowledgements This research was carried out with support from the Fulbright Foundation, Microsoft Research, NSF award IIS-0326460 and the Johns Hopkins University Human Language Technology Center of  ... 
doi:10.1007/978-3-642-19890-8_1 fatcat:ivnpnwxbujgvpmlz3fghwk7nzm

Talking Open Data [article]

Sebastian Neumaier, Vadim Savenkov, Svitlana Vakulenko
2017 arXiv   pre-print
Our data-aware chatbot answers search requests and suggests relevant open datasets, bringing fun factor and a potential of viral dissemination into Open Data exploration.  ...  To address a broader range of citizens, we designed an open data search interface supporting natural language interactions via popular platforms like Facebook and Skype.  ...  This work was supported by the Austrian Research Promotion Agency (FFG) under the projects ADEQUATe (grant no. 849982) and CommuniData (grant no. 855407).  ... 
arXiv:1705.00894v1 fatcat:zmpqjsgsdvdofj4jd3peyzqhii

The Openaire Workflows For Data Management

Claudio Atzori, Alessia Bardi, Paolo Manghi, Andrea Mannocci
2017 Zenodo  
This paper discusses the principal workflows operated by the OpenAIRE technical infrastructure in its different functional areas and provides the reader with the extent of the several challenges faced  ...  and the solutions realised.  ...  four ISG projections: (i) a full-text index to support search and browse queries from the OpenAIRE Web portal and to expose subsets of the ISG on the OpenAIRE search API, (ii) a E-R database and a dedicated  ... 
doi:10.5281/zenodo.996005 fatcat:b3z6ooajxrhhjmwsblhstdilxa

Traffic Regulator Detection and Identification from Crowdsourced Data—A Systematic Literature Review

Stefania Zourlidou, Monika Sester
2019 ISPRS International Journal of Geo-Information  
Mapping with surveying equipment is a time-consuming and cost-intensive procedure that makes the frequent map updating unaffordable.  ...  The topic of this systematic literature review (SLR) is the detection and recognition of traffic regulators such as traffic lights (signals), stop-, yield-, priority-signs, right of way priority rules  ...  With title screening, basically articles that possibly matched the Incl1 were passed to the next phase.  ... 
doi:10.3390/ijgi8110491 fatcat:dma5dzeww5dpxgfgpq3v2eua7q

A generalised cross-modal clustering method applied to multimedia news semantic indexing and retrieval

Alberto Messina, Maurizio Montagnuolo
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
Current Web technology has enabled the distribution of informative content through dynamic media platforms.  ...  Contentbased, cross-media retrieval applications are needed to efficiently access desired information from this variety of data sources.  ...  Figure 3 Figure 3 : 33 shows an example in the context of Web and TV news. Many online news articles often deal with the same fact.  ... 
doi:10.1145/1526709.1526753 dblp:conf/www/MessinaM09 fatcat:4tdbihs6ofhoznkngjkkavbusq

Eye in a Disk: eyeIntegration Human Pan-Eye and Body Transcriptome Database Version 1.0

Vinay Swamy, David McGaughey
2019 Investigative Ophthalmology and Visual Science  
We develop an accessible and reliable RNA sequencing (RNA-seq) transcriptome database of healthy human eye tissues and a matching reactive web application to query gene expression in eye and body tissues  ...  We keep a running list of the projects and associated citations at https://github.com/davemcg/ eyeIntegration_app/blob/master/inst/citations.md and strongly encourage anyone who uses EiaD and eyeIntegration  ...  We also thank Kapil Bharti, Robert Hufnagel, and Brian Brooks for their continuous set of critiques and suggestions in the development of eyeIntegration app over the past 2 years, and Tiziana Cogliati  ... 
doi:10.1167/iovs.19-27106 pmid:31343654 pmcid:PMC6660187 fatcat:hicw4x4d2bh4dkvbkqjhadbxwe

Enriching a document collection by integrating information extraction and PDF annotation

Brett Powley, Robert Dale, Ilya Anisimoff, Kathrin Berkner, Laurence Likforman-Sulem
2009 Document Recognition and Retrieval XVI  
To achieve our goal, we need to carry out two tasks: first, we need to identify and link citations and references in the text with high reliability; and second, we need the ability to determine physical  ...  We demonstrate the use of a high-accuracy citation extraction algorithm which significantly improves on earlier reported techniques, and a technique for integrating pdf processing with a conventional text-stream  ...  This accounted for variations in article titles, typographical errors, and extraction errors, while still allowing us to match with high accuracy.  ... 
doi:10.1117/12.805548 dblp:conf/drr/PowleyDA09 fatcat:xobvdcoktnfhhhiyli3l623xvm
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