{"title":"A feature terms extraction method based on polarity analysis of customer reviews for content-based recommendation","authors":"Tomofumi Yoshida, D. Kitayama","doi":"10.1145/3011141.3011193","DOIUrl":"https://doi.org/10.1145/3011141.3011193","url":null,"abstract":"Our paper proposes a method for extracting feature terms expressing feelings regarding the use of a product from customer reviews on e-commerce sites, based on content-based recommendation. Considering previous research indicating that negative events and impressions have a greater impact than positive ones, we define terms relating to factors over which customers argue the pros and cons in reviews as features related to feelings regarding the use of a product. Our approach involves extracting sentences expressing opinions from customer reviews, and recognizing each evaluated term as a candidate for product features. Using the positive opinion ratio of each candidate to measure the extent of how divided the opinions of reviewers are, we extract feature terms for the selected product by considering a feature score based on the positive opinion ratio. We present an experiment to evaluate the utility of the feature terms extracted using our proposed method.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130943983","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":"Dynamic service quality selection","authors":"O. Georgieva","doi":"10.1145/3011141.3011156","DOIUrl":"https://doi.org/10.1145/3011141.3011156","url":null,"abstract":"This paper presents a new approach for software service selection. It applies clustering analysis on quality metrics data that were accumulated during the service monitoring. The assessment is accomplished according to the comparison of properties of the densest clusters found in each data space. For this purpose specific cluster metrics are accounted for. The approach was implemented in a workable procedure that was experimentally proved by real data of web services' monitoring.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131153544","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}
Iryna Bursuk, Andreas Mladenow, Niina Maarit Novak, C. Strauss
{"title":"Online cofounder search in tech startups","authors":"Iryna Bursuk, Andreas Mladenow, Niina Maarit Novak, C. Strauss","doi":"10.1145/3011141.3011221","DOIUrl":"https://doi.org/10.1145/3011141.3011221","url":null,"abstract":"Current recruiting processes are largely supported by diverse online solutions. Online application systems, virtual interviewing, and search for employees through professional social networks such as LinkedIn and XING have become common for both medium and large companies. Moreover, during the period after recession, i.e. 2009 to 2011, there was a trend towards customized e-applications and social networks to satisfy the personnel recruiting requirements of specific industries and types of business. In this paper an analysis of e-applications used for recruiting purposes is performed as well as for a cofounder search in the ICT-sector; emphasis is placed on the subsector of technology startups.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126233527","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. Putra, Ria Hari Gusmita, K. Hulliyah, H. Sukmana
{"title":"A semantic-based question answering system for indonesian translation of Quran","authors":"S. Putra, Ria Hari Gusmita, K. Hulliyah, H. Sukmana","doi":"10.1145/3011141.3011219","DOIUrl":"https://doi.org/10.1145/3011141.3011219","url":null,"abstract":"This paper presents a work in developing a semantic-based question answering system (QAS) for Indonesian Translation of Quran (ITQ). This research is motivated by the lacks of previous built QAS that caused by a keyword-based retrieval. Instead of keeping the retrieval method, we shifted to a semantic approach where the retrieval process is done by using a semantic similarity measurement. In doing so, we built an ontology of ITQ to get the concepts as well as verses where they appear in. We applied three factoid question types on the QAS that including Who, Where, and When. Furthermore, a weighted vector for each concept that belongs to respective expected answering type (also called as named entity group) i.e. Person, Location, and Time is generated in order to feed semantic interpreter on user question. From 222 concepts defined from the ontology, we clustered them into 77, 24, and 6 concepts for Person, Location, and Time respectively. Since we found there are some characteristics of texts in ITQ, we developed our own modules to deal with including generate the inverted index and named entity recognition. Answer extraction is conducted by applying some features extraction in order to score the answer candidates. Evaluation of the system is designed by providing two data set of question and answer where the first one is purposed to measure the effectiveness of semantic approach comparing with keyword-based retrieval and the last one aims to know system performance in regard the appearance of concepts in ITQ.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122701435","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":"Towards linked open data enabled ontology learning from text","authors":"Meisam Booshehri, P. Luksch","doi":"10.1145/3011141.3011184","DOIUrl":"https://doi.org/10.1145/3011141.3011184","url":null,"abstract":"The artifacts produced by current (semi-)automatic methods of ontology learning from text have yet to be improved so that they can provide significant support in creating rich and expressive ontologies. Hence, it is our goal in this study to explore ways to create much more enriched ontologies. In this short paper, we discuss the hypotheses of a PhD work, which addresses the problem of how to reuse the freely available knowledge in Linked Open Data as background knowledge beside text in order to extract new ontological or assertional knowledge for creating a more enriched ontology. In other words, we hypothesize that by using the extra knowledge in large RDF datasets in Linked Open Data cloud, the functions associated with the layers of Ontology Learning Stack could be improved, resulting in more enriched ontologies.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"708 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116122705","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}
Tzipora Halevi, N. Memon, J. Levis, P. Kumaraguru, Sumit Arora, Nikita Dagar, F. Aloul, Jay Chen
{"title":"Cultural and psychological factors in cyber-security","authors":"Tzipora Halevi, N. Memon, J. Levis, P. Kumaraguru, Sumit Arora, Nikita Dagar, F. Aloul, Jay Chen","doi":"10.1145/3011141.3011165","DOIUrl":"https://doi.org/10.1145/3011141.3011165","url":null,"abstract":"Increasing cyber-security presents an ongoing challenge to security professionals. Research continuously suggests that online users are a weak link in information security. This research explores the relationship between cyber-security and cultural, personality and demographic variables. This study was conducted in four different countries and presents a multi-cultural view of cyber-security. In particular, it looks at how behavior, self-efficacy and privacy attitude are affected by culture compared to other psychological and demographics variables (such as gender and computer expertise). It also examines what kind of data people tend to share online and how culture affects these choices. This work supports the idea of developing personality based UI design to increase users' cyber-security. Its results show that certain personality traits affect the user cyber-security related behavior across different cultures, which further reinforces their contribution compared to cultural effects.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131000509","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}
V. Stankovski, Jernej Trnkoczy, S. Taherizadeh, Matej Cigale
{"title":"Implementing time-critical functionalities with a distributed adaptive container architecture","authors":"V. Stankovski, Jernej Trnkoczy, S. Taherizadeh, Matej Cigale","doi":"10.1145/3011141.3011202","DOIUrl":"https://doi.org/10.1145/3011141.3011202","url":null,"abstract":"Software developers increasingly need to include time-critical functionalities in their Web applications. Examples of these can be Internet-of-Things (IoT), gaming systems, instant messaging, video conferencing, and similar. Ensuring the Quality of Service (QoS) for such applications has been a challenging issue mostly due to runtime variations in the network quality between the clients and the service running in the Cloud. In this paper, we propose an adaptive multi-instance container-based architecture called Autonomous Self-Adaptation Platform (ASAP) that applies an edge computing concept with technologies, such as Docker and Kubernetes to facilitate the desired QoS for every single usage event of the time-critical functionality. We use a \"File Upload\" use case as an example to explore time-critical functionality. Each time a client needs to use the File Upload functionality, a specific setup, physical host selection and resources allocation is made in order to provide the desired QoS to that functionality.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128473785","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":"A recipe recommendation system that considers user's mood","authors":"Mayumi Ueda, Yukitoshi Morishita, Tomiyo Nakamura, Natsuhiko Takata, Shinsuke Nakajima","doi":"10.1145/3011141.3011192","DOIUrl":"https://doi.org/10.1145/3011141.3011192","url":null,"abstract":"Homemaker decide what to cook based on the mood they are in, the ingredients they have in their refrigerators, or the ingredients offered in a supermarket. Most of the existing services for searching recipes allow ingredient names or recipe names as search input. We propose a system that allows searching recipes based on the users' mood. To develop the system, we gather words to express a user's mood when making a menu decision and classify them according to their relationship. We determine six aspects of a user's mood. The result of our preliminary experiment and a questionnaire-based survey show that our method describes a user's mood when deciding for a menu and that the system helps in the decision-making. Furthermore, we propose a method for automatically generating recipe metadata, which we plan to add to our system.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122054971","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":"TAON: an ontology-based approach to mitigating targeted attacks","authors":"R. Luh, S. Schrittwieser, Stefan Marschalek","doi":"10.1145/3011141.3011157","DOIUrl":"https://doi.org/10.1145/3011141.3011157","url":null,"abstract":"Targeted attacks on IT systems are a rising threat against the confidentiality of sensitive data and the availability of systems and infrastructures. Planning for the eventuality of a data breach or sabotage attack has become an increasingly difficult task with the emergence of advanced persistent threats (APTs), a class of highly sophisticated cyber-attacks that are nigh impossible to detect using conventional signature-based systems. Understanding, interpreting, and correlating the particulars of such advanced targeted attacks is a major research challenge that needs to be tackled before behavior-based approaches can evolve from their current state to truly semantics-aware solutions. Ontologies offer a versatile foundation well suited for depicting the complex connections between such behavioral data and the diverse technical and organizational properties of an IT system. In order to facilitate the development of novel behavior-based detection systems, we present TAON, an OWL-based ontology offering a holistic view on actors, assets, and threat details, which are mapped to individual abstracted events and anomalies that can be detected by today's monitoring data providers. TOAN offers a straightforward means to plan an organization's defense against APTs and helps to understand how, why, and by whom certain resources are targeted. Populated by concrete data, the proposed ontology becomes a smart correlation framework able to combine several data sources into a semantic assessment of any targeted attack.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125518221","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":"Expert opinions aggregation for discrete events","authors":"M. Cai, Y. Lin, Wenjun Chris Zhang","doi":"10.1145/3011141.3011212","DOIUrl":"https://doi.org/10.1145/3011141.3011212","url":null,"abstract":"In decision making, a group of experts give opinion on an event say X. There is a need to get a group consensus on X. It is usually not possible to have all experts with the same opinion. Therefore, one needs to fuse different opinions into one opinion (i.e., group opinion). The challenge for this task is the situation that the number of experts is too small, as this situation does not justify the use of the average statistics to come up with a group opinion. This paper addresses this challenge. The main idea of the approach to solve this group decision problem is to consider that the group consensus or opinion is a non-linear function of individual opinions and the non-linear function is further represented by a series of iterations to update the weights in a linear function (i.e., the weighted average of individual opinions). An example is given to illustrate the effectiveness of the approach.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126756082","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}