Semantic Web - Volume 5, issue 5

Authors: Dadzie, Aba-Sah | Rowe, Matthew | Stankovic, Milan

Article Type: Other

DOI: 10.3233/SW-140141

Citation: Semantic Web, vol. 5, no. 5, pp. 337-339, 2014

Authors: Balduini, Marco | Celino, Irene | Dell'Aglio, Daniele | Della Valle, Emanuele | Huang, Yi | Lee, Tony | Kim, Seon-Ho | Tresp, Volker

Article Type: Research Article

Abstract: The rapid growth of personal opinions published in form of microposts, such as those found on Twitter, is the basis of novel emerging social and commercial services. In this paper, we describe BOTTARI, an augmented reality application that permits the personalized and localized recommendation of points of interest (POIs) based on the temporally-weighted opinions of the community. The technological basis of BOTTARI is the highly scalable LarKC platform for the rapid prototyping and development of Semantic Web applications. In particular, BOTTARI exploits LarKC's deductive and inductive stream reasoning. We present an evaluation of BOTTARI based on a three year collection …of tweets about 319 restaurants located in the 2 km2 district of Insadong, a popular tourist area of the South Korean city of Seoul. BOTTARI is the winner of the 9th edition of the Semantic Web Challenge, co-located with the 2011 International Semantic Web Conference. BOTTARI is currently field tested in Korea by Saltlux. Show more

Keywords: Reality mining, stream reasoning, personalized recommendation, social media analysis, mobile app

DOI: 10.3233/SW-130107

Citation: Semantic Web, vol. 5, no. 5, pp. 341-356, 2014

Authors: Cano, Amparo E. | Mazumdar, Suvodeep | Ciravegna, Fabio

Article Type: Research Article

Abstract: The use of Social Media, particularly microblogging platforms such as Twitter, has proven to be an effective channel for promoting ideas to online audiences. In a world where information can bias public opinion it is essential to analyse the propagation and influence of information in large-scale networks. Recent research studying social media data to rank users by topical relevance have largely focused on the “retweet”, “following” and “mention” relations. In this paper we propose the use of semantic profiles for deriving influential users based on the retweet subgraph of the Twitter graph. We introduce a variation of the PageRank algorithm …for analysing users' topical and entity influence based on the topical/entity relevance of a retweet relation. Experimental results show that our approach outperforms related algorithms including HITS, InDegree and Topic-Sensitive PageRank. We also introduce VisInfluence, a visualisation platform for presenting top influential users based on a topical query need. Show more

Keywords: Social awareness streams, microblogging, social influence, semantic profiles

DOI: 10.3233/SW-130108

Citation: Semantic Web, vol. 5, no. 5, pp. 357-372, 2014

Authors: Bontcheva, Kalina | Rout, Dominic

Article Type: Research Article

Abstract: Using semantic technologies for mining and intelligent information access to social media is a challenging, emerging research area. Traditional search methods are no longer able to address the more complex information seeking behaviour in media streams, which has evolved towards sense making, learning, investigation, and social search. Unlike carefully authored news text and longer web context, social media streams pose a number of new challenges, due to their large-scale, short, noisy, context-dependent, and dynamic nature. 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 behaviour modelling; and intelligent, semantic-based information access. The survey includes key methods not just from the Semantic Web research field, but also from the related areas of natural language processing and user modelling. In conclusion, key outstanding challenges are discussed and new directions for research are proposed. Show more

Keywords: Semantic annotation, semantic-based user modelling, semantic search, information visualisation, social media streams

DOI: 10.3233/SW-130110

Citation: Semantic Web, vol. 5, no. 5, pp. 373-403, 2014

Authors: Verma, Kunal | Kass, Alex | Vasquez, Reymonrod

Article Type: Research Article

Abstract: We discuss our experiences with deploying a tool called the Requirements Analysis Tool (RAT), which automatically reviews requirements documents for clarity and content based issues using a variety of syntactic and semantic techniques. The tool has been deployed at over 500 large software projects. We provide an overview of our syntactic approach, which is based on enforcing restrictions on both sentence structure and vocabulary in a way that is carefully chosen to align with best practices. We discuss how RAT analyzes natural language text to find defects such as terminological inconsistencies and missing contextual information. Structured content from requirements is …then represented as a semantic graph and RAT performs semantic analysis to help users perform interaction analysis. We present a number of case studies based on real world deployments of RAT which demonstrate number of improvements in the projects' requirements ranging from clearer sentence structure to more complete requirements. Show more

Keywords: Requirements analysis tool, semantic analysis, syntactic analysis, requirements ontology

DOI: 10.3233/SW-2012-0071

Citation: Semantic Web, vol. 5, no. 5, pp. 405-419, 2014