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Concept profiles for filtering parliamentary documents 用于过滤议会文件的概念配置文件
2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) Pub Date : 2015-11-01 DOI: 10.5220/0005616104090416
F. J. Ribadas, L. M. D. Campos, J. M. Fernández-Luna, J. Huete
{"title":"Concept profiles for filtering parliamentary documents","authors":"F. J. Ribadas, L. M. D. Campos, J. M. Fernández-Luna, J. Huete","doi":"10.5220/0005616104090416","DOIUrl":"https://doi.org/10.5220/0005616104090416","url":null,"abstract":"Content-based recommender/filtering systems help to appropriately distribute information among the individuals or organizations that could consider it of interest. In this paper we describe a filtering system to deal with the problem of assigning documents to members of the parliament potentially interested on them. The proposed approach exploits subjects taken from a conceptual thesaurus to create the user profiles and to describe the documents to be filtered. The assignment of subjects to documents is modeled as a multilabel classification problem. Experiments with a real parliamentary corpus are reported, evaluating several methods to assign conceptual subjects to documents and to match those sets of subjects with user profiles.","PeriodicalId":102743,"journal":{"name":"2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124895175","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}
引用次数: 2
Using collective intelligence to generate trend-based travel recommendations 利用集体智慧生成基于趋势的旅游建议
2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) Pub Date : 2015-11-01 DOI: 10.5220/0005582201770185
Sabine Schlick, Isabella Eigner, Alex Fechner
{"title":"Using collective intelligence to generate trend-based travel recommendations","authors":"Sabine Schlick, Isabella Eigner, Alex Fechner","doi":"10.5220/0005582201770185","DOIUrl":"https://doi.org/10.5220/0005582201770185","url":null,"abstract":"Trips are multifaceted, complex products which cannot be tested in advance due to their geographical distance. Hence, making a travel decision people often ask others for advice. This leads to an increasing importance of communities. Within communities people share their experiences, which results in new, more extensive knowledge beyond the individual knowledge of each member. The objective of this paper is to use this knowledge by developing an algorithm that automatically generates trend-based travel recommendations. Based on the travel experiences of the community members, interesting travel areas are identified. Five key figures to evaluate these areas according to general criteria and the users' individual preferences are developed. The algorithm allows to generate recommendations for the whole community and not only for highly active members, resulting in a high coverage. A study conducted within an online travel community shows that automatically generated, trend-based trip recommendations are rated better than user-generated recommendations.","PeriodicalId":102743,"journal":{"name":"2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121497215","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}
引用次数: 3
A Cloud Platform for classification and resource management of complex electromagnetic problems 复杂电磁问题分类与资源管理的云平台
2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) Pub Date : 2015-11-01 DOI: 10.5220/0005615503880393
A. Kapsalis, P. Kasnesis, P. Theofanopoulos, P. Gkonis, C. Lavranos, D. Kaklamani, I. Venieris, G. Kyriacou
{"title":"A Cloud Platform for classification and resource management of complex electromagnetic problems","authors":"A. Kapsalis, P. Kasnesis, P. Theofanopoulos, P. Gkonis, C. Lavranos, D. Kaklamani, I. Venieris, G. Kyriacou","doi":"10.5220/0005615503880393","DOIUrl":"https://doi.org/10.5220/0005615503880393","url":null,"abstract":"Most scientific applications tend to have a very resource demanding nature and the simulation of such scientific problems often requires a prohibitive amount of time to complete. Distributed computing offers a solution by segmenting the application into smaller processes and allocating them to a cluster of workers. This model was widely followed by Grid Computing. However, Cloud Computing emerges as a strong alternative by offering reliable solutions for resource demanding applications and workflows that are of scientific nature. In this paper we propose a Cloud Platform that supports the simulation of complex electromagnetic problems and incorporates classification (SVM) and resource allocation (Ant Colony Optimization) methods for the effective management of these simulations.","PeriodicalId":102743,"journal":{"name":"2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116047340","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}
引用次数: 1
Author's paper Similarity Prediction based on the Similarity of Textual References to Visual Features 基于文本参考与视觉特征相似度的相似度预测
2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) Pub Date : 2015-11-01 DOI: 10.5220/0005629006370643
M. Alli
{"title":"Author's paper Similarity Prediction based on the Similarity of Textual References to Visual Features","authors":"M. Alli","doi":"10.5220/0005629006370643","DOIUrl":"https://doi.org/10.5220/0005629006370643","url":null,"abstract":"In this paper we introduce a mechanism to find similar papers of an author, based on the author's previous1 publications. In other words, since the author(s) of a paper are more likely to publish similar work(s) to their paper, we use this intuition to seek related papers based on the visual similarity of those papers. The visuality here is the figures and or tables that are commonly used by authors to describe their method structure and/or the result of their experiments. Since similar works of authors are focused on solving similar problems as well as developing and improving similar techniques, we noticed that comparing these visual features among their publications would help to spot most similar papers of those authors. We call our method, Similarity of Textual References to Visual Features which means, we compare parts of content of any two arbitrary papers that have references to any figures and/or tables. In our experiment we show that how we can use this similarity together with other factors of a paper to form a Boolean function which helps to build an indexation for papers based on the number of their authors. In this way, we omit time consuming process of papers' content determined analysis, such as, textual content analysis, building coauthor network, citation network etc. In addition, our Boolean function has the ability of adjusting level of Sensitivity. If we want to achieve higher accuracy of similar papers, the Boolean function needs to be enabled for more2 conditions.","PeriodicalId":102743,"journal":{"name":"2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126352556","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}
引用次数: 0
New classification models for detecting Hate and Violence web content 用于检测仇恨和暴力网络内容的新分类模型
2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) Pub Date : 2015-11-01 DOI: 10.5220/0005636704870495
Shuhua Liu, Thomas Forss
{"title":"New classification models for detecting Hate and Violence web content","authors":"Shuhua Liu, Thomas Forss","doi":"10.5220/0005636704870495","DOIUrl":"https://doi.org/10.5220/0005636704870495","url":null,"abstract":"Today, the presence of harmful and inappropriate content on the web still remains one of the most primary concerns for web users. Web classification models in the early days are limited by the methods and data available. In our research we revisit the web classification problem with the application of new methods and techniques for text content analysis. Our recent studies have indicated the promising potential of combing topic analysis and sentiment analysis in web content classification. In this paper we further explore new ways and methods to improve and maximize classification performance, especially to enhance precision and reduce false positives, thorough examination and handling of the issues with class imbalance, and through incorporation of LDA topic models.","PeriodicalId":102743,"journal":{"name":"2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125661450","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}
引用次数: 36
Leveraging Entity Linking to enhance Entity Recognition in microblogs 利用实体链接增强微博中的实体识别
2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) Pub Date : 2015-11-01 DOI: 10.5220/0005640701470155
Pikakshi Manchanda, E. Fersini, M. Palmonari
{"title":"Leveraging Entity Linking to enhance Entity Recognition in microblogs","authors":"Pikakshi Manchanda, E. Fersini, M. Palmonari","doi":"10.5220/0005640701470155","DOIUrl":"https://doi.org/10.5220/0005640701470155","url":null,"abstract":"The Web of Data provides abundant knowledge wherein objects or entities are described by means of properties and their relationships with other objects or entities. This knowledge is used extensively by the research community for Information Extraction tasks such as Named Entity Recognition (NER) and Linking (NEL) to make sense of data. Named entities can be identified from a variety of textual formats which are further linked to corresponding resources in the Web of Data. These tasks of entity recognition and linking are, however, cast as distinct problems in the state-of-the-art, thereby, overlooking the fact that performance of entity recognition affects the performance of entity linking. The focus of this paper is to improve the performance of entity recognition on a particular textual format, viz, microblog posts by disambiguating the named entities with resources in a Knowledge Base (KB). We propose an unsupervised learning approach to jointly improve the performance of entity recognition and, thus, the whole system by leveraging the results of disambiguated entities.","PeriodicalId":102743,"journal":{"name":"2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123629656","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}
引用次数: 5
An approach for Semantic search over Lithuanian news website corpus 立陶宛新闻网站语料库的语义搜索方法
2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) Pub Date : 2015-11-01 DOI: 10.5220/0005596800570066
Tomas Vileiniskis, Algirdas Sukys, R. Butkienė
{"title":"An approach for Semantic search over Lithuanian news website corpus","authors":"Tomas Vileiniskis, Algirdas Sukys, R. Butkienė","doi":"10.5220/0005596800570066","DOIUrl":"https://doi.org/10.5220/0005596800570066","url":null,"abstract":"The continuous growth of unstructured textual information on the web implies the need for novel, semantically aware content processing and information retrieval (IR) methods. Following the evolution and wide adoption of Semantic Web technology, a number of approaches to overcome the limitations of traditional keyword-based search techniques have been proposed. However, most of the research concentrates on English and other well-known, linguistic resource-rich languages. Hence, this paper presents an attempt to semantic search over domain-specific Lithuanian web documents. We introduce an ontology-based semantic search framework capable of answering structured natural Lithuanian language questions and discuss its language-dependent design decisions. The findings from a recent case study showed that our proposed framework can be applied to approach meaning-based IR with significant results, even when the underlying language is morphologically rich and has limited linguistic resources.","PeriodicalId":102743,"journal":{"name":"2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)","volume":"33 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133620875","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}
引用次数: 4
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