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Semantic query suggestion using Twitter Entities

Ioannis Anagnostopoulos, Gerasimos Razis, Phivos Mylonas, Christos-Nikolaos Anagnostopoulos
2015 Neurocomputing  
Towards this direction, we introduce an algorithmic approach capable of creating a dynamic query suggestion set, which consist of the most viral and trendy Twitter Entities (that is hashtags, user mentions  ...  There are many web information management methods and techniques that help search engines and news services to provide useful suggestions with respect to queries, thus facilitating the users' search.  ...  Fig. 4 . 4 (a) Network of survived Twitter Entities in Query Suggestion Sets -Egypt. (b) Network of survived Twitter Entities in Query Suggestion Sets -Syria.  ... 
doi:10.1016/j.neucom.2014.12.090 fatcat:iow4seggx5halouapbhftejynm

Leveraging the Semantics of Tweets for Adaptive Faceted Search on Twitter [chapter]

Fabian Abel, Ilknur Celik, Geert-Jan Houben, Patrick Siehndel
2011 Lecture Notes in Computer Science  
We propose strategies for inferring facets and facet values on Twitter by enriching the semantics of individual Twitter messages (tweets) and present different methods, including personalized and context-adaptive  ...  In the last few years, Twitter has become a powerful tool for publishing and discussing information. Yet, content exploration in Twitter requires substantial effort.  ...  By choosing from the suggested facet-values, a user can interactively refine the query.  ... 
doi:10.1007/978-3-642-25073-6_1 fatcat:m3r5gwzwrfce5m4th2d2hexvze

Linked Open Social Signals

Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from microblogging data.  ...  We define an architecture that is based on state-ofthe-art Semantic Web technologies and a distributed publishsubscribe protocol for real time communication.  ...  Prasad, Harshal Patni and the Sensor Web team for allowing us to use their servers for the development of the software used in this project.  ... 
doi:10.1109/wi-iat.2010.314 dblp:conf/webi/MendesPKS10 fatcat:okxqn5f75zhvtck4y5ncc4aqvm

Towards Semantic Retrieval of Hashtags in Microblogs

Piyush Bansal, Somay Jain, Vasudeva Varma
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
In this poster, we propose and evaluate a novel method of semantic enrichment of microblogs for a particular type of entity search -retrieving a ranked list of the top-k hashtags relevant to a user's query  ...  in 24th International World Wide Web Conference ABSTRACT On various microblogging platforms like Twitter, the users post short text messages ranging from news and information to thoughts and daily chatter  ...  Subsequently, they were asked to suggest 10 queries each, relevant to the given tasks, hence obtaining a list of total 50 queries.  ... 
doi:10.1145/2740908.2742717 dblp:conf/www/BansalJV15 fatcat:jockldnklfexjejetzonfhkgz4

SNARC - An Approach for Aggregating and Recommending Contextualized Social Content [chapter]

Ahmad Assaf, Aline Senart, Raphael Troncy
2013 Lecture Notes in Computer Science  
SNARC is a service that uses semantic web technology and combines services available on the web to aggregate social news.  ...  entities for each Semantic Model.  ...  -Semantic Entities: Entities provide a higher abstraction level of the document. They are used to reconcile the social results in order to maintain relevancy with the document.  ... 
doi:10.1007/978-3-642-41242-4_58 fatcat:rehyol35v5gixoux6f3mfhttm4

Crisis and Disaster Situations on Social Media Streams: An Ontology-Based Knowledge Harvesting Approach

2019 Interdisciplinary Journal of Information, Knowledge, and Management  
Hence, the pervasive use of ontology is highly suggested that build semantic-oriented metadata for concept-based modeling, information flow searching and knowledge exchange.  ...  Besides, the proposed method makes use of SPARQL to disambiguate the query and yield the results which produce high precision.  ...  In the following sections, we present semantic filtering of entities from Twitter streams and identifying the potential meaning of tweets using domain ontology.  ... 
doi:10.28945/4420 fatcat:lwdet7km2velblks33d3hoskpm

Discovering similar Twitter accounts using semantics [article]

Gerasimos Razis, Ioannis Anagnostopoulos
2015 arXiv   pre-print
Towards this direction, we introduce a methodology for discovering and suggesting similar Twitter accounts, based entirely on their disseminated content in terms of Twitter entities used.  ...  Many of these entities are used in common by many accounts.  ...  -how-to-use-twitter-s-suggestions-for-who-to-follow  ... 
arXiv:1506.00100v1 fatcat:uk6kz7c42bhl5f6s7caakrhjhy

TUMS: Twitter-Based User Modeling Service [chapter]

Ke Tao, Fabian Abel, Qi Gao, Geert-Jan Houben
2012 Lecture Notes in Computer Science  
In this paper, we introduce TUMS, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter.  ...  It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested in a specific point in time.  ...  [11] proposed to exploit contextual information to enrich the semantics of Twitter messages. In previous work, we followed this suggestion and linked tweets to related Web resources [12] .  ... 
doi:10.1007/978-3-642-25953-1_22 fatcat:tvrmvgkyvvbxxc4kjnjem5hzki

The iCrawl Wizard – Supporting Interactive Focused Crawl Specification [chapter]

Gerhard Gossen, Elena Demidova, Thomas Risse
2015 Lecture Notes in Computer Science  
Using the iCrawl Wizard even non-expert users can create semantic specifications for focused crawlers interactively and efficiently.  ...  Our tool uses major search engines and Social Media APIs as well as information extraction techniques to find seed URLs and a semantic description of the crawl intent.  ...  Additionally, it uses information extraction tools to suggest representative keywords and entities for the semantic crawl specification.  ... 
doi:10.1007/978-3-319-16354-3_88 fatcat:ikkkxagtpzezzhtm2gv75553x4

Twinder: A Search Engine for Twitter Streams [chapter]

Ke Tao, Fabian Abel, Claudia Hauff, Geert-Jan Houben
2012 Lecture Notes in Computer Science  
with respect to its syntactical, semantic, sentiment and contextual properties.  ...  How can one effectively identify relevant messages in the hundreds of millions of Twitter messages that are posted every day?  ...  For example, keyword queries on Twitter are significantly shorter than those issued for Web search: on Twitter people typically use 1.64 words to search while on the Web they use, on average, 3.08 words  ... 
doi:10.1007/978-3-642-31753-8_11 fatcat:faihvstqirchfdpgx33w6vnlmu

Twarql

Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi
2010 Proceedings of the 6th International Conference on Semantic Systems - I-SEMANTICS '10  
The approach employed in Twarql can be summarized as follows: (1) extract content (e.g. entity mentions, hashtags and URLs) from microposts streamed from Twitter; (2) encode content in RDF using shared  ...  and well-known vocabularies (FOAF, SIOC, MOAT, etc.); (3) enable structured querying of microposts with SPARQL; (4) enable subscription to a stream of microposts that match a given query; and (5) enable  ...  INTRODUCTION Every day, Web users are using Twitter to simultaneously publish millions of microblog posts (microposts or "tweets") with opinions, observations and suggestions that may represent invaluable  ... 
doi:10.1145/1839707.1839762 dblp:conf/i-semantics/MendesPK10 fatcat:7uusffmtmbbojigllu3wtksqe4

A Semantic Graph-Based Approach for Radicalisation Detection on Social Media [chapter]

Hassan Saif, Thomas Dickinson, Leon Kastler, Miriam Fernandez, Harith Alani
2017 Lecture Notes in Computer Science  
Unlike previous works, which mainly rely on the lexical representation of the content published by Twitter users, our approach extracts and makes use of the underlying semantics of words exhibited by these  ...  In this paper we propose a semantic graph-based approach for radicalisation detection on Twitter.  ...  Our implementation uses multithreading to enhance the performance (i.e., queries are sent in parallel), and relations are extracted once per Twitter dataset.  ... 
doi:10.1007/978-3-319-58068-5_35 fatcat:5szisg4jz5djhebbuztxatrinm

Semantic based entity retrieval and disambiguation system for Twitter streams

2019 Knowledge Management & E-Learning: An International Journal  
of entities and find the semantic similarity between the named entities with three other potential sources of references (DBpedia, Anchor Texts and Twitter Trends).  ...  And also, earlier, bag-of-concepts has been used to link the potential noun phrases into existing knowledge sources.  ...  As discussed in Li et al. (2013) about the query refinement and suggesting alternative query for improving the web search results, entity query has also to be refined and find the right combination of  ... 
doi:10.34105/j.kmel.2019.11.014 fatcat:arijxgtnmvd5boz6oqlwlq3mp4

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.  ...  Specifically, we propose an algorithmic approach, which expands a user's query by creating a suggestion set of the most viral and up-to-date Twitter entities (e.g. hashtags, user mentions, URLs, etc.).  ... 
arXiv:1801.09961v3 fatcat:mnwvsphxgjdcvlu6vsn6g6pv5e

Learning Semantic Relationships between Entities in Twitter [chapter]

Ilknur Celik, Fabian Abel, Geert-Jan Houben
2011 Lecture Notes in Computer Science  
In this paper, we investigate whether semantic relationships between entities can be learnt from analyzing microblog posts published on Twitter.  ...  We identify semantic links between persons, products, events and other entities.  ...  Furthermore, when people search in Twitter, our framework can identify entities mentioned in a keyword query and exploit relationships to other entities to provide query suggestions to the user.  ... 
doi:10.1007/978-3-642-22233-7_12 fatcat:qilrk6inprhrzppwtxfr6upvea
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