{"title":"When experts collaborate: sharing search and domain expertise within an organization","authors":"D. Stange, A. Nürnberger","doi":"10.1145/2809563.2809582","DOIUrl":"https://doi.org/10.1145/2809563.2809582","url":null,"abstract":"Data about how individuals explore an information space and collect facts about their topic of interest is valuable to analyze but difficult to come by. In this paper we outline how this data can be captured in a search task with the help of a special search environment. Domain experts sharing this data in an organization can enhance their collaborative search experience and benefit from each others' search and domain expertise. Our approach facilitates interaction mechanisms of an interface and data mining methods. We also lay out a business process where the system is applied.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90485246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Pujari, Asmelash Teka Hadgu, E. Lex, R. Jäschke
{"title":"Social activity versus academic activity: a case study of computer scientists on Twitter","authors":"S. Pujari, Asmelash Teka Hadgu, E. Lex, R. Jäschke","doi":"10.1145/2809563.2809584","DOIUrl":"https://doi.org/10.1145/2809563.2809584","url":null,"abstract":"In this work, we study social and academic network activities of researchers from Computer Science. Using a recently proposed framework, we map the researchers to their Twitter accounts and link them to their publications. This enables us to create two types of networks: first, networks that reflect social activities on Twitter, namely the researchers' follow, retweet and mention networks and second, networks that reflect academic activities, that is the co-authorship and citation networks. Based on these datasets, we (i) compare the social activities of researchers with their academic activities, (ii) investigate the consistency and similarity of communities within the social and academic activity networks, and (iii) investigate the information flow between different areas of Computer Science in and between both types of networks. Our findings show that if co-authors interact on Twitter, their relationship is reciprocal, increasing with the numbers of papers they co-authored. In general, the social and the academic activities are not correlated. In terms of community analysis, we found that the three social activity networks are most consistent with each other, with the highest consistency between the retweet and mention network. A study of information flow revealed that in the follow network, researchers from Data Management, Human-Computer Interaction, and Artificial Intelligence act as a source of information for other areas in Computer Science.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"440 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82910231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Lamprecht, Florian Geigl, Tomas Karas, Simon Walk, D. Helic, M. Strohmaier
{"title":"Improving recommender system navigability through diversification: a case study of IMDb","authors":"Daniel Lamprecht, Florian Geigl, Tomas Karas, Simon Walk, D. Helic, M. Strohmaier","doi":"10.1145/2809563.2809603","DOIUrl":"https://doi.org/10.1145/2809563.2809603","url":null,"abstract":"The Internet Movie Database (IMDb) is the world's largest collection of facts about movies and features large-scale recommendation systems connecting hundreds of thousands of items. In the past, the principal evaluation criterion for such recommender systems has been the rating accuracy prediction for recommendations within the immediate one-hop-neighborhood. Apart from a few isolated studies, the evaluation methodology for recommender systems has so far lacked approaches that quantify and measure the exposure to novel content while navigating a recommender system. As such, little is known about the support for navigation and browsing as methods to explore, browse and discover novel items within these systems. In this article, we study the navigability of IMDb's recommender systems over multiple hops. To this end, we analyze the recommendation networks of IMDb with a two-level approach: First, we study reachability in terms of components, path lengths and a bow-tie analysis. Second, we simulate practical browsing scenarios based on greedy decentralized search. Our results show that the IMDb recommendation networks are not very well-suited for navigation scenarios. To mitigate this, we apply a method for diversifying recommendations by specifically selecting recommendations which improve connectivity but do not compromise relevance. We demonstrate that this leads to improved reachability and navigability in both recommender systems. Our work underlines the importance of navigability and reachability as evaluation dimension of a large movie recommender system and shows up ways to increase navigational diversity.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82095355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Al-Smadi, Bashar Talafha, Omar Qawasmeh, Mohammed N. Alandoli, Wegdan A. Hussien, C. Gütl
{"title":"A hybrid approach for Arabic named entity disambiguation","authors":"Mohammad Al-Smadi, Bashar Talafha, Omar Qawasmeh, Mohammed N. Alandoli, Wegdan A. Hussien, C. Gütl","doi":"10.1145/2809563.2809589","DOIUrl":"https://doi.org/10.1145/2809563.2809589","url":null,"abstract":"This research aims at tackling the problem of Arabic Named Entity Disambiguation (NED) through an enhanced approach of information extraction from DBpedia and Arabic Wikipedia using query label expansion and text similarity techniques.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86407514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing innovative digital technologies for knowledge management and data-driven business: a case study","authors":"Angela Fessl, Sandra Feyertag, Viktoria Pammer-Schindler","doi":"10.1145/2809563.2809570","DOIUrl":"https://doi.org/10.1145/2809563.2809570","url":null,"abstract":"This paper presents a case study on co-designing digital technologies for knowledge management and data-driven business for an SME. The goal of the case study was to analyse the status quo of technology usage and to develop design suggestions in form of mock-ups tailored to the company's needs. We used both requirements engineering and interactive system design methods such as interviews, workshops, and mock-ups for work analysis and system design. The case study illustrates step-by-step the processes of knowledge extraction and combination (analysis) and innovation creation (design). These processes resulted in non-functional mock-ups, which are planned to be implemented within the SME.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88980930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","authors":"Stefanie N. Lindstaedt, Tobias Ley, Harald Sack","doi":"10.1145/2809563","DOIUrl":"https://doi.org/10.1145/2809563","url":null,"abstract":"Through the i-KNOW conference series we aim at advancing research at the intersection of disciplines such as Knowledge Discovery, Semantics, Information Visualization, Visual Analytics, Social (Semantic) and Ubiquitous Computing. This year's conference theme focuses on Cognitive Computing and Data-Driven Business. The goal of integrating these approaches is to create cognitive computing systems that will enable humans to utilize massive amounts of data.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"545 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77738038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applying gamification in the context of knowledge management","authors":"J. L. Jurado, Alejandro Fernández, C. Collazos","doi":"10.1145/2809563.2809606","DOIUrl":"https://doi.org/10.1145/2809563.2809606","url":null,"abstract":"In this paper we present the preliminary results of an ongoing project called (KMM+G). It explores an approach to improve participation in knowledge management processes, in software development companies, through gamification. The paper documents a case study in which we compared two approaches to knowledge construction and refinement. One approach is based on email communication, document templates and the guidance of a project leader. The other approach incorporates gamification mechanics known as PBL (points, medal, and leaderboard). We observed that gamification mechanics substantially improve aspects like: participation, contribution, collaboration and knowledge refinement in the process of software development.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81951292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Managing requirements knowledge in business networks: a case study","authors":"Jörgen Jaanus, Maria Sihver, Tobias Ley","doi":"10.1145/2809563.2809597","DOIUrl":"https://doi.org/10.1145/2809563.2809597","url":null,"abstract":"In the last two decades, research on knowledge management (KM) has shifted its focus to understanding the role of knowledge management tools in achieving business objectives. However, KM initiatives often remain dispersed, especially in highly distributed organizational settings, such as business networks. Existing research on cross-organizational knowledge management focuses primarily on efficiencies through shared services while neglecting a knowledge sharing and creation perspective. Here we take a knowledge maturing perspective to propose a model for requirements knowledge which - instead of looking at single activities of retrieval -- considers a continuous cycle where the knowledge intensive processes and requirements shape each other. We develop the model using the insight from a case study of a European business network. Our findings for meeting innovation requirements reflect that the selective access to communication platforms due to the less formal network structure needs to be substituted by process based roles and tasks of employees. Considering efficiency requirements diverse data sources result in the need to capture and incorporate the semantics of concepts for elimination of duplicated process related effort. Regarding quality requirements the guidance role of matured knowledge, such as standards, best practices, controls etc. needs to be integrated.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89840674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart booking without looking: providing hotel recommendations in the TripRebel portal","authors":"Matthias Traub, Dominik Kowald, Emanuel Lacić, Pepijn Schoen, Gernot Supp, E. Lex","doi":"10.1145/2809563.2809616","DOIUrl":"https://doi.org/10.1145/2809563.2809616","url":null,"abstract":"In this paper, we present a scalable hotel recommender system for TripRebel, a new online booking portal. On the basis of the open-source enterprise search platform Apache Solr, we developed a system architecture with Web-based services to interact with indexed data at large scale as well as to provide hotel recommendations using various state-of-the-art recommender algorithms. We demonstrate the efficiency of our system directly using the live TripRebel portal where, in its current state, hotel alternatives for a given hotel are calculated based on data gathered from the Expedia Affiliate Network (EAN).","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78576017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Community-aware ranking algorithms for expert identification in question-answer forums","authors":"Mohsen Shahriari, Sathvik Parekodi, R. Klamma","doi":"10.1145/2809563.2809592","DOIUrl":"https://doi.org/10.1145/2809563.2809592","url":null,"abstract":"Question-Answer forums (QAF) are significant platforms for disseminating informal information and play important role in problem solving and learning. Expert identification still has some limitations and link analysis methods do not consider community dimension. In this paper an authority analysis approach for identifying experts is proposed. This approach combines overlapping community detection (OCD) algorithms with ranking methods to compute the nodes' expertise level in QAFs. Firstly, graph resulting from a specific search query is computed and an OCD algorithm is applied on it. After identifying clusters of nodes, we change updating rules of original Hyperlink-Induced Topic Search (HITS) and PageRank to take the effect of intra cluster links and extra cluster connections. People whom are intra or overlapping to a community possess higher vision about context of the community than nodes which are outside. We experimented the proposed overlapping community-aware ranking algorithms and compared them with baseline approaches on online forums. Results indicate that OCD improves expert identification accuracy and relevancy.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"378 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75804537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}