Add to ORKGand other research outputs The topics they are a-changing- characterising topics with time-stamped semantic graph
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...
Semantic graphs are commonly used to represent data from one or more data sources. Such graphs exten...
The knowledge graph (KG) contains data about altmetrics as well traditional indicators associated wi...
Abstract. DBpedia has become one of the major sources of structured knowl-edge extracted from Wikipe...
A multi-disciplinary approach integrating computational linguistic techniques is necessary to elabor...
Analysing research trends and predicting their impact on academia and industry is crucial to gain a ...
DBpedia has become one of the major sources of structured knowledge extracted from Wikipedia. Such s...
In this work a model is engineered to depict topic relationships as graphs between detected topics o...
and other research outputs Linked knowledge sources for topic classification of mi-croposts: a seman...
The field of semantic computing is highly diverse, linking areas such as artificial intelligence, da...
In this paper we propose a novel framework, topic model with semantic graph (TMSG), which couples to...
Researchers and journal managers need summary information, such as research maps and trends. Topic a...
As large-scale digital text collections become abundant, the necessity of automatically summarizing ...
<p>Graph demonstrating the time period of publication of the 100 most cited systematic reviews and m...
Schindler C, Ell B. Linking Qualitative and Quantitative Research by Thin Descriptions through Seman...
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...
Semantic graphs are commonly used to represent data from one or more data sources. Such graphs exten...
The knowledge graph (KG) contains data about altmetrics as well traditional indicators associated wi...
Abstract. DBpedia has become one of the major sources of structured knowl-edge extracted from Wikipe...
A multi-disciplinary approach integrating computational linguistic techniques is necessary to elabor...
Analysing research trends and predicting their impact on academia and industry is crucial to gain a ...
DBpedia has become one of the major sources of structured knowledge extracted from Wikipedia. Such s...
In this work a model is engineered to depict topic relationships as graphs between detected topics o...
and other research outputs Linked knowledge sources for topic classification of mi-croposts: a seman...
The field of semantic computing is highly diverse, linking areas such as artificial intelligence, da...
In this paper we propose a novel framework, topic model with semantic graph (TMSG), which couples to...
Researchers and journal managers need summary information, such as research maps and trends. Topic a...
As large-scale digital text collections become abundant, the necessity of automatically summarizing ...
<p>Graph demonstrating the time period of publication of the 100 most cited systematic reviews and m...
Schindler C, Ell B. Linking Qualitative and Quantitative Research by Thin Descriptions through Seman...
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...
Semantic graphs are commonly used to represent data from one or more data sources. Such graphs exten...
The knowledge graph (KG) contains data about altmetrics as well traditional indicators associated wi...