Areas of Research
I am interested in IR (Information Retrieval) and distributed databases. Specifically, my research focuses on algorithms for distributed databases, Top-k query processing, and managing data in unstructured topologies. I have compiled a short list of topics I am currently researching and a short description for each of them.
Information Retrieval (Top-k ...)
Information retrieval (IR) is the art and science of searching for information in documents, searching for documents themselves, searching for metadata which describe documents, or searching within databases, whether relational
stand alone databases or hypertext networked databases such as the
Internet or intranets, for text, sound, images or data. There is a
common confusion, however, between data retrieval, document retrieval, information retrieval, and text retrieval, and each of these have their own bodies of literature, theory, praxis and technologies.
IR is a broad interdisciplinary field, that draws on many other
disciplines. Indeed, because it is so broad, it is normally poorly
understood, being approached typically from only one perspective or
another. It stands at the junction of many established fields, and
draws upon cognitive psychology, information architecture, information design, human information behaviour, linguistics, semiotics, information science, computer science and librarianship.
Automated information retrieval (IR) systems were originally used to
manage information explosion in scientific literature in the last few
decades. Many universities and public libraries use IR systems to
provide access to books, journals, and other documents. IR systems are
often related to object and query. Queries are formal statements of
information needs that are put to an IR system by the user. An object
is an entity which keeps or stores information in a database. User
queries are matched to documents stored in a database. A document is,
therefore, a data object. Often the documents themselves are not kept
or stored directly in the IR system, but are instead represented in the
system by document surrogates.
In 1992 the Department of Defense, along with the National Institute of Standards and Technology (NIST), cosponsored the Text Retrieval Conference (TREC)
as part of the TIPSTER text program. The aim of this was to look into
the information retrieval community by supplying the infrastructure
that was needed for such a huge evaluation of text retrieval