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Timely Semantics: A Study of a Stream-Based Ranking System for Entity Relationships [chapter]

Lorenz Fischer, Roi Blanco, Peter Mika, Abraham Bernstein
2015 Lecture Notes in Computer Science  
This paper presents a study using a real-world stream-processing based implementation of an entity ranking system, to understand the effect of data timeliness on entity rankings.  ...  Using a longitudinal case-study, we demonstrate (i) that low-latency, large-scale entity relationship ranking is feasible using moderate resources and (ii) that stream-based entity ranking improves the  ...  Barla Cambazoglu, Alice Swanberg and her team, Derek Dagit, Dheeraj Kapur, Bobby Evans, Balaji Narayanan, and Karri Reddy for their invaluable support.  ... 
doi:10.1007/978-3-319-25010-6_28 fatcat:e63hxpyy6vg2dplm7keb6shnei

A framework for real-time semantic social media analysis

Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout, Kalina Bontcheva
2017 Journal of Web Semantics  
In addition, our framework enables the exploration of media streams through topic, entity, and time-based visualisations, which make heavy use of the semantic knowledge.  ...  For instance, Phelan et al [47] use word clouds to present the results of a Twitter based recommendation system.  ... 
doi:10.1016/j.websem.2017.05.002 fatcat:q26kxj77cvff7ikmlgrzgccnve

A Framework for Real-Time Semantic Social Media Analysis

Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout, Kalina Bontcheva
2017 Social Science Research Network  
In addition, our framework enables the exploration of media streams through topic, entity, and time-based visualisations, which make heavy use of the semantic knowledge.  ...  For instance, Phelan et al [47] use word clouds to present the results of a Twitter based recommendation system.  ... 
doi:10.2139/ssrn.3199300 fatcat:vkf6xlpedjhtpn7cmtklkep3yi

The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain [article]

Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith
2016 arXiv   pre-print
combination of preexisting nodes (using set operations), and a full model of the semantic relationships between all entities within a domain can be represented and dynamically traversed using a highly  ...  The main contribution of this paper is the introduction of a novel system - the Semantic Knowledge Graph - which is able to dynamically discover and score interesting relationships between any arbitrary  ...  As of the time of writing, such feature vectors describing a state at time t1 through tn , we a system was still in a research phase.  ... 
arXiv:1609.00464v2 fatcat:eu5ngmndmnftpbv2ugkcfnmoqq

Towards a Semantic Web of Things: A Hybrid Semantic Annotation, Extraction, and Reasoning Framework for Cyber-Physical System

Zhenyu Wu, Yuan Xu, Yunong Yang, Chunhong Zhang, Xinning Zhu, Yang Ji
2017 Sensors  
Various studies ([13-17]) propose to extend and reuse existing knowledge-based representations to annotate metadata and stream sensory data for improving system interoperability and intelligent decision-support  ...  Web of Things (WoT) facilitates the discovery and interoperability of Internet of Things (IoT) devices in a cyber-physical system (CPS).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s17020403 pmid:28230725 pmcid:PMC5335945 fatcat:oayqxcyevbcq3c4pkfg3elwdd4

A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation

Scott Piao, Fraser Dallachy, Alistair Baron, Jane Demmen, Steve Wattam, Philip Durkin, James McCracken, Paul Rayson, Marc Alexander
2017 Computer Speech and Language  
Dallachy), a.baron@lancaster.ac.uk (A. Baron), j.e.demmen1@lancaster.ac.uk (J. Demmen), s.wattam@lancaster.ac.uk (S. Wattam), philip.durkin@oup.com (P. Durkin), james.mccracken@oup.com (J.  ...  Acknowledgment T a g g e d P This work was supported by the UK Arts and Humanities Research Council in conjunction with the Economic and Social Research Council (ESRC) as part of the Semantic Annotation  ...  and Mark-Up for Enhancing Lexical Searches (SAMUELS) Project (grant number AH/L010062/1).  ... 
doi:10.1016/j.csl.2017.04.010 fatcat:movgjq5tcna2lnxdrxlyyzacuq

Quantifying the Connectivity of a Semantic Warehouse and Understanding its Evolution over Time

Michalis Mountantonakis, Nikos Minadakis, Yannis Marketakis, Pavlos Fafalios, Yannis Tzitzikas
2016 International Journal on Semantic Web and Information Systems (IJSWIS)  
In many applications one has to fetch and assemble pieces of information coming from more than one source for building a semantic warehouse offering more advanced query capabilities.  ...  over time.  ...  SWIQA [21] is a framework for the validation of the values of semantic resources based on a set of rules.  ... 
doi:10.4018/ijswis.2016070102 fatcat:ks2hdn2wmze6vpvr6lrie5dkzy

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
This paper defines five key research questions in this new application area, examined through a survey of state-of-the-art approaches for mining semantics from social media streams; user, network, and  ...  Using semantic technologies for mining and intelligent information access to social media is a challenging, emerging research area.  ...  of Twitter and Facebook messages and for proof-reading the paper.  ... 
doi:10.3233/sw-130110 fatcat:uytdbegs3ngcbpu62i4trrxjni

Rules and ontologies in support of real-time ubiquitous application

2005 Journal of Web Semantics  
The rule-based user model was specifically designed to work in environments where the rich semantic descriptions are available.  ...  We also summarize our findings in the lessons learned that provide a transferable generic knowledge for similar type of applications.  ...  The authors would especially like to thank Mark Graham and his colleagues in the Nature Museum in Ottawa for their enthusiastic support of this project.  ... 
doi:10.1016/j.websem.2005.05.004 fatcat:y6nl2maymzexjp2l4oflrvqply

Learning Semantic Relationships between Entities in Twitter [chapter]

Ilknur Celik, Fabian Abel, Geert-Jan Houben
2011 Lecture Notes in Computer Science  
We further analyze the performance in learning relationships that are valid only for a certain time period and reveal that for those types of relationships Twitter is a suitable source as it allows for  ...  In this paper, we investigate whether semantic relationships between entities can be learnt from analyzing microblog posts published on Twitter.  ...  For relationships among products (e.g. mobile devices and operating systems), the Tweet+News-based detection strategy performs better than for relationships between people, for which we observe the lowest  ... 
doi:10.1007/978-3-642-22233-7_12 fatcat:qilrk6inprhrzppwtxfr6upvea

Context & Semantics in News & Web Search

Daan Odijk
2016 SIGIR Forum  
from six episodes of a live daily talk show.  ...  The dataset that was described in Section 6.3 has been made available to the research community; 3 it consists of more than 1,500 manually annotated links in over 5,000 subtitle chunks for 50 video segments  ...  Main Contributions • Real-Time Entity Linking -We propose a set of effective feature-based methods for performing real-time entity linking.  ... 
doi:10.1145/2964797.2964816 fatcat:zmt2clavxrdi5izyo73z6kfg3q

Background Subtraction with Real-time Semantic Segmentation

Dongdong Zeng, Xiang Chen, Ming Zhu, Michael Goesele, Arjan Kuijper
2019 IEEE Access  
Our proposed framework consists of two components, a traditional BGS segmenter B and a real-time semantic segmenter S.  ...  For each input frame I t , the BGS segmenter B computes a preliminary FG/BG mask B t . At the same time, the real-time semantic segmenter S extracts the object-level semantics S t .  ...  They would also like to thank the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.  ... 
doi:10.1109/access.2019.2899348 fatcat:qvhccw4mdbdudnisnt6zzp3bnu

Background Subtraction with Real-time Semantic Segmentation [article]

Dongdong Zeng, Xiang Chen, Ming Zhu, Michael Goesele, Arjan Kuijper
2018 arXiv   pre-print
Our proposed framework consists of two components, a traditional BGS segmenter B and a real-time semantic segmenter S.  ...  at real-time, and even performs better than some deep learning based supervised algorithms.  ...  This real-time system can process 1024 × 2048 resolution video stream at a speed of 30 fps while accomplishing acceptable segmentation precision. III.  ... 
arXiv:1811.10020v2 fatcat:tqn47rbuxfamdp2mgibhdvxfuy

Modeling Influence with Semantics in Social Networks: a Survey [article]

Gerasimos Razis, Ioannis Anagnostopoulos, Sherali Zeadally
2018 arXiv   pre-print
The discovery of influential entities in all kinds of networks (e.g. social, digital, or computer) has always been an important field of study.  ...  In this work, we present a systematic review across i) online social influence metrics, properties, and applications and ii) the role of semantic in modeling OSNs information.  ...  A lot of attention has also been paid to recommendation systems for suggesting personalized streams of information ( [34] , [36] , [75] , and [82] ).  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e

Introducing Social Semantic Journalism

Bahareh Rahmanzadeh Heravi, Jarred McGinnis
2015 Journal of Media Innovations  
Currently this is done manually and is a time-consuming and labour-intensive process for media organisations.  ...  Semantic metadata, natural language processing (NLP) and other technologies will provide the framework for Social Semantic Journalism to help journalists navigate the overwhelming amount of UGC for detecting  ...  Three main stages are involved within this task: (a) detection of entities in the text (including specification of entity types); (b) search for potential matches in Linked Open Data; and (c) entity ranking  ... 
doi:10.5617/jmi.v2i1.868 fatcat:yzazeoik75ga5ps2ygx7jfidmi
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