2005
Authors
Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J;
Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
2005
Authors
Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L;
Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
2009
Authors
Campos, R; Dias, G; Jorge, AM;
Publication
KDIR 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL
Abstract
With so much information available on the web, looking for relevant documents on the Internet has become a difficult task. Temporal features play an important role with the introduction of a time dimension and the possibility to restrict a search by time, recreating a particular moment of a web page set. Despite its importance, temporal information is still under-considered by current search engines, limiting themselves to the capture of the most recent snapshot of the information. In this paper, we describe the architecture of a temporal search engine which uses timelines to browse search results. More specifically, we intend to add a time measure to cluster web page results, by analyzing web page contents, supporting the search of temporal and non-temporal information embedded in web documents.
2009
Authors
Almeida, R; Reis, LP; Jorge, AM;
Publication
SISTEMAS E TECHNOLOGIAS DE INFORMACAO: ACTAS DA 4A CONFERENCIA IBERICA DE SISTEMAS E TECNOLOGIAS DE LA INFORMACAO
Abstract
1999
Authors
Jorge, A;
Publication
AI COMMUNICATIONS
Abstract
A methodology for the synthesis of function free definite logic programs from incomplete specifications, background knowledge and programming knowledge is presented. The methodology is implemented as a system SKILit and sub-systems SKIL and MONIC. The specification consists of positive and negative examples of the predicate to synthesize, together with its input/output mode declaration.
2023
Authors
Castro, M; Jorge, A; Campos, R;
Publication
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2023, PT III
Abstract
The rise of social media has brought a great transformation to the way news are discovered and shared. Unlike traditional news sources, social media allows anyone to cover a story. Therefore, sometimes an event is already discussed by people before a journalist turns it into a news article. Twitter is a particularly appealing social network for discussing events, since its posts are very compact and, therefore, contain colloquial language and abbreviations. However, its large volume of tweets also makes it impossible for a user to keep up with an event. In this work, we present TweetStream2Story, a web app for extracting narratives from tweets posted in real time, about a topic of choice. This framework can be used to provide new information to journalists or be of interest to any user who wishes to stay up-to-date on a certain topic or ongoing event. As a contribution to the research community, we provide a live version of the demo, as well as its source code.
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