Salman Iqbal, Hayati Abdul Jalal, P. Toulson, D. Tweed
{"title":"Knowledge Management","authors":"Salman Iqbal, Hayati Abdul Jalal, P. Toulson, D. Tweed","doi":"10.4018/978-1-4666-0894-8.ch004","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.ch004","url":null,"abstract":"","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114970736","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":"Techniques for Named Entity Recognition","authors":"Girish Keshav Palshikar","doi":"10.4018/978-1-4666-0894-8.CH011","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.CH011","url":null,"abstract":"While building and using a fully semantic understanding of Web contents is a distant goal, named entities (NEs) provide a small, tractable set of elements carrying a well-defined semantics. Generic named entities are names of persons, locations, organizations, phone numbers, and dates, while domain-specific named entities includes names of for example, proteins, enzymes, organisms, genes, cells, et cetera, in the biological domain. An ability to automatically perform named entity recognition (NER) – i.e., identify occurrences of NE in Web contents – can have multiple benefits, such as improving the expressiveness of queries and also improving the quality of the search results. A number of factors make building highly accurate NER a challenging task. Given the importance of NER in semantic processing of text, this chapter presents a detailed survey of NER techniques for English text.","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134160182","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":"Semantic Technology for Improved Email Collaboration","authors":"S. Scerri","doi":"10.4018/978-1-4666-0894-8.CH007","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.CH007","url":null,"abstract":"Digital means of communications such as email and IM have become a crucial tool for collaboration. Taking advantage of the fact that information exchanged over these media can be made persistent, a lot of research has strived to make sense of the ongoing communication processes in order to support the participants with their management. In this chapter, a workflow-oriented approach is pursued to demonstrate how, coupled with appropriate information extraction techniques, robust knowledge models, and intuitive user interfaces, semantic technology can provide support for email-based collaborative work. While eliciting as much knowledge as possible, the design concept in this chapter imposes little to no changes and/or restrictions to the conventional use of email.","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115662033","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":"KNOBI - knowledge-based business intelligence for business user information-self-service","authors":"M. Mertens","doi":"10.4018/978-1-4666-0894-8.CH014","DOIUrl":"https://doi.org/10.4018/978-1-4666-0894-8.CH014","url":null,"abstract":"","PeriodicalId":332320,"journal":{"name":"Collaboration and the Semantic Web","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121261946","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}