Add to ORKGThe paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quality. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment
This paper is a short description of an information retrieval system enhanced by three model driven ...
We study how to answer aggregation queries over hierarchical Web sites using adaptive sampling
Understanding how people interact with information sys-tems when searching is central to the study o...
The paper proposes three different kinds of science models as value-added services that are integrat...
The paper proposes three different kinds of science models as value-added services that are integrat...
This paper is about a better understanding on the structure and dynamics of science and the usage of...
When scientists are looking for information in document collections, they generally have a precise o...
Information retrieval deals with the representation, storage, organization, and access to informatio...
This 19 slide presentation at ASIS&T Annual Meeting 2003, Long Beach, California discusses how scien...
This chapter provides a tutorial review of the current state of the art in the area of Web search an...
An information retrieval model is presented as a result of a study of two different but integrated p...
As a matter of fact, many so-called semantic search algorithms are derived from the traditional inde...
In the recent years, there have been significant advancements in the areas of scientific data manage...
This paper examines important artifacts of scientific research, namely models. It proposes that the ...
In this paper, we evaluate query term suggestion in the context of academic professional search. Our...
This paper is a short description of an information retrieval system enhanced by three model driven ...
We study how to answer aggregation queries over hierarchical Web sites using adaptive sampling
Understanding how people interact with information sys-tems when searching is central to the study o...
The paper proposes three different kinds of science models as value-added services that are integrat...
The paper proposes three different kinds of science models as value-added services that are integrat...
This paper is about a better understanding on the structure and dynamics of science and the usage of...
When scientists are looking for information in document collections, they generally have a precise o...
Information retrieval deals with the representation, storage, organization, and access to informatio...
This 19 slide presentation at ASIS&T Annual Meeting 2003, Long Beach, California discusses how scien...
This chapter provides a tutorial review of the current state of the art in the area of Web search an...
An information retrieval model is presented as a result of a study of two different but integrated p...
As a matter of fact, many so-called semantic search algorithms are derived from the traditional inde...
In the recent years, there have been significant advancements in the areas of scientific data manage...
This paper examines important artifacts of scientific research, namely models. It proposes that the ...
In this paper, we evaluate query term suggestion in the context of academic professional search. Our...
This paper is a short description of an information retrieval system enhanced by three model driven ...
We study how to answer aggregation queries over hierarchical Web sites using adaptive sampling
Understanding how people interact with information sys-tems when searching is central to the study o...