Matches in ScholarlyData for { ?s ?p ?o. }
- 14 keyword "hyperlinks".
- 14 keyword "microblogs".
- 14 keyword "social media".
- 14 keyword "text classification".
- 14 title "Improving Categorisation in Social Media using Hyperlinks to Structured Data Sources".
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- item-1 type ListItem.
- item-1 hasContent sheila-kinsella.
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- item-2 type ListItem.
- item-2 hasContent mengjiao-wang.
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- item-3 hasContent john-breslin.
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- item-4 hasContent conor-hayes.
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- 20 creator harith-alani.
- 20 creator matthew-rowe.
- 20 creator sofia-angeletou.
- 20 type InProceedings.
- 20 label "Predicting Discussions on the Social Semantic Web".
- 20 sameAs 20.
- 20 abstract "Social Web platforms are quickly becoming the natural place for people to engage in discussing current events, topics, and policies. Analysing such discussions is of high value to analysts who are interested in assessing up-to-the-minute public opinion, consensus, and trends. However, we have a limited understanding of how content and user features can influence the amount of response that posts (e.g., Twitter messages) receive, and how this can impact the growth of discussion threads. Understanding these dynamics can help users to issue better posts, and enable analysts to make timely predictions on which discussion threads will evolve into active ones and which are likely to wither too quickly. In this paper we present an approach for predicting discussions on the Social Web, by (a) identifying seed posts, then (b) making predictions on the level of discussion that such posts will generate. We explore the use of post-content and user features and their subsequent effects on predictions. Our experiments produced an optimum F1 score of 0.848 for identifying seed posts, and an average measure of 0.673 for Normalised Discounted Cumulative Gain when predicting discussion levels.".
- 20 hasAuthorList authorList.
- 20 isPartOf proceedings.
- 20 keyword "Discussions".
- 20 keyword "Predictions".
- 20 keyword "Semantic Web".
- 20 keyword "Social Web".
- 20 keyword "Web Science".
- 20 title "Predicting Discussions on the Social Semantic Web".
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- item-1 hasContent matthew-rowe.
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- item-2 hasContent sofia-angeletou.
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- item-3 hasContent harith-alani.
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- 32 creator amedeo-napoli.
- 32 creator blansche-alexandre.
- 32 creator lian-shi.
- 32 creator yannick-toussaint.
- 32 type InProceedings.
- 32 label "Mining for Reengineering: an Application to Semantic Wikis using Formal and Relational Concept Analysis".
- 32 sameAs 32.
- 32 abstract "Semantic wikis enable collaboration between human agents and the creation of associated knowledge systems. In this way, data embedded in semantic wikis can be mined and the resulting knowledge patterns can be reused to extend and improve the structure the wiki contents. This paper proposes a method for guiding the reengineering and improving the structure of semantic wikis. This method suggests the creation of categories and relations between categories using Formal Concept Analysis (FCA) and the Relational Concept Analysis (RCA) extension. FCA allows the design of a concept lattice while RCA provides relational attributes completing the content of formal concepts. The originality of the approach is to consider the wiki content from FCA and RCA points of view and then to extract knowledge units from this content allowing a factorization and a reengineering of the wiki structure. This method is general and does not depend on any domain and can be thus generalized to every kind of semantic Examples are studied throughout the paper and experiments show the correction and the usefulness of the method.".
- 32 hasAuthorList authorList.
- 32 isPartOf proceedings.
- 32 keyword "Knowledge Discovery".
- 32 keyword "Reengineering".
- 32 keyword "Semantic Wiki".
- 32 title "Mining for Reengineering: an Application to Semantic Wikis using Formal and Relational Concept Analysis".
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- item-1 type ListItem.
- item-1 hasContent lian-shi.
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- item-2 hasContent yannick-toussaint.
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- item-3 hasContent amedeo-napoli.
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- item-4 hasContent blansche-alexandre.
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- 8 creator andreas-hotho.
- 8 creator christian-koerner.
- 8 creator dominik-benz.
- 8 creator gerd-stumme.
- 8 creator markus-strohmaier.
- 8 type InProceedings.
- 8 label "One Tag to bind them all: Measuring Term Abstractness in Social Metadata".
- 8 sameAs 8.