FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W430878539> ?p ?o ?g. }

• W430878539 abstract "In recent years, online collaborative environments, e.g. social content sites (such as Twitter or Facebook) have significantly changed the way people share information and interact with peers. These platforms have become the primary common environment for people to communicate about their activity and their information needs and to maintain and create social ties. Status updates or microposts emerged as a convenient way for people to share content frequently without a long investment of time. Some social platforms even limit the length of a “post”. A post generally consists of a single sentence (e.g. news, a question), it can include a picture, a hyperlink, tags or other descriptive data (metadata). Contrarily to traditional documents, posts are informal (with no controlled vocabulary) and don't have a well established structure. Social platforms can become so popular (huge number of users and posts), that it becomes difficult to find relevant information in the flow of notifications. Therefore, organizing this huge quantity of social information is one of the major challenges of such collaborative environments. Traditional information retrieval techniques are not well suited for querying such corpus, because of the short size of the share content, the uncontrolled vocabulary used by author and because these techniques don't take in consideration the ties in-between people. Also, such techniques tend to find the documents that best match a query, which may not be sufficient in the context of social platform where the creation of new connections in the platform has a motivating impact and where the platform tries to keep on-going participation. A new information retrieval paradigm, social search has been introduced as a potential solution to this problem. This solution consists of different strategies to leverage user generated content for information seeking, such as the recommendation of people. However, existing strategies have limitations in the user profile construction process and in the routing of queries to the right people identified as experts. More concretely, the majority of user profiles in such systems are keyword-based, which is not suited for the small size and the informal aspect of the posts. Secondly, expertise is measured only based on statistical scoring mechanisms, which do not take into account the fact that people on social platforms will not precisely consume the results of the query, but will aim to engage into a conversation with the expert. Also a particular focus needs to be done on privacy management, where still traditional methods initially designed for databases are used without taking into account the social ties between people. In this thesis we propose and evaluate an original framework for the organization and retrieval of information in social platforms. Instead of retrieving content that best matches a user query, we retrieve people who have expertise and are most motivated to engage in conversations on its topics. We propose to build dynamically profiles for users based on their interactions in the social platform. The construction of such profiles requires the capture of interactions (microposts), their analysis and the extraction and understanding of their topics. In order to build a more meaningful profile, we leverage Semantic Web Technologies and more specifically, Linked Data, for the transformation of microposts topics into semantic concepts. Our thesis contributes to several fields related to the organization, management and retrieval of information in collaborative environments and to the fields of social computing and human-computer interaction" @default.
• W430878539 created "2016-06-24" @default.
• W430878539 creator A5024766590 @default.
• W430878539 date "2011-11-09" @default.
• W430878539 modified "2023-09-24" @default.
• W430878539 title "A semantic framework for social search" @default.
• W430878539 hasPublicationYear "2011" @default.
• W430878539 type Work @default.
• W430878539 sameAs 430878539 @default.
• W430878539 citedByCount "2" @default.
• W430878539 countsByYear W4308785392012 @default.
• W430878539 countsByYear W4308785392013 @default.
• W430878539 crossrefType "dissertation" @default.
• W430878539 hasAuthorship W430878539A5024766590 @default.
• W430878539 hasConcept C108827166 @default.
• W430878539 hasConcept C136764020 @default.
• W430878539 hasConcept C138885662 @default.
• W430878539 hasConcept C154945302 @default.
• W430878539 hasConcept C166957645 @default.
• W430878539 hasConcept C205649164 @default.
• W430878539 hasConcept C21959979 @default.
• W430878539 hasConcept C23123220 @default.
• W430878539 hasConcept C2522767166 @default.
• W430878539 hasConcept C2777530160 @default.
• W430878539 hasConcept C2777601683 @default.
• W430878539 hasConcept C2779343474 @default.
• W430878539 hasConcept C30088001 @default.
• W430878539 hasConcept C41008148 @default.
• W430878539 hasConcept C41895202 @default.
• W430878539 hasConcept C518677369 @default.
• W430878539 hasConcept C53605480 @default.
• W430878539 hasConcept C93518851 @default.
• W430878539 hasConceptScore W430878539C108827166 @default.
• W430878539 hasConceptScore W430878539C136764020 @default.
• W430878539 hasConceptScore W430878539C138885662 @default.
• W430878539 hasConceptScore W430878539C154945302 @default.
• W430878539 hasConceptScore W430878539C166957645 @default.
• W430878539 hasConceptScore W430878539C205649164 @default.
• W430878539 hasConceptScore W430878539C21959979 @default.
• W430878539 hasConceptScore W430878539C23123220 @default.
• W430878539 hasConceptScore W430878539C2522767166 @default.
• W430878539 hasConceptScore W430878539C2777530160 @default.
• W430878539 hasConceptScore W430878539C2777601683 @default.
• W430878539 hasConceptScore W430878539C2779343474 @default.
• W430878539 hasConceptScore W430878539C30088001 @default.
• W430878539 hasConceptScore W430878539C41008148 @default.
• W430878539 hasConceptScore W430878539C41895202 @default.
• W430878539 hasConceptScore W430878539C518677369 @default.
• W430878539 hasConceptScore W430878539C53605480 @default.
• W430878539 hasConceptScore W430878539C93518851 @default.
• W430878539 hasLocation W4308785391 @default.
• W430878539 hasOpenAccess W430878539 @default.
• W430878539 hasPrimaryLocation W4308785391 @default.
• W430878539 hasRelatedWork W101056202 @default.
• W430878539 hasRelatedWork W1466589953 @default.
• W430878539 hasRelatedWork W1682127139 @default.
• W430878539 hasRelatedWork W180915375 @default.
• W430878539 hasRelatedWork W1915605551 @default.
• W430878539 hasRelatedWork W1985611060 @default.
• W430878539 hasRelatedWork W2018832121 @default.
• W430878539 hasRelatedWork W2021105077 @default.
• W430878539 hasRelatedWork W2099476469 @default.
• W430878539 hasRelatedWork W2106881987 @default.
• W430878539 hasRelatedWork W2158138919 @default.
• W430878539 hasRelatedWork W2255104421 @default.
• W430878539 hasRelatedWork W2301845237 @default.
• W430878539 hasRelatedWork W2474776235 @default.
• W430878539 hasRelatedWork W2592793086 @default.
• W430878539 hasRelatedWork W2611631853 @default.
• W430878539 hasRelatedWork W2800690494 @default.
• W430878539 hasRelatedWork W2888996222 @default.
• W430878539 hasRelatedWork W3143908489 @default.
• W430878539 hasRelatedWork W904634658 @default.
• W430878539 isParatext "false" @default.
• W430878539 isRetracted "false" @default.
• W430878539 magId "430878539" @default.
• W430878539 workType "dissertation" @default.