Spinal palpation: the challenges of information retrieval using available databases
نویسندگان
چکیده
منابع مشابه
Challenges for Industrial-Strength Information Retrieval on Databases
Implementing keyword search and other IR tasks on top of relational engines has become viable in practice, especially thanks to high-performance column-store technology. Supporting complex combinations of structured and unstructured search in real-world heterogeneous data spaces however requires more than “just” IR-on-DB. In this work, we walk the reader through our industrial-strength solution...
متن کاملBridging Information Retrieval and Databases
For bridging the gap between information retrieval (IR) and databases (DB), this article focuses on the logical view. We claim that IR should adopt three major concepts from DB, namely inference, vague predicates and expressive query languages. By regarding IR as uncertain inference, probabilistic versions of relational algebra and Datalog yield very powerful inference mechanisms for IR as well...
متن کاملInformation retrieval from biological databases.
As discussed earlier in this book, GenBank was created in response to the explosion in sequence information resulting from a panoply of scientific efforts such as the Human Genome Project. To review, GenBank is an annotated collection of all publicly available DNA and protein sequences and is maintained by the National Center for Biotechnology Information (NCBI). As of this writing, GenBank con...
متن کاملPrecision-Controlled Retrieval of Qualitative Information from Databases Using Hierarchies
Can we retrieve objects from a database that are just close to a desired item? Can we control the retrieval process up to a given error? Can we define a semantic similarity between objects to be retrieved? The paper seeks for positive answers to these questions by using hierarchies. Sometimes, qualitative values can be arranged in a hierarchy, a tree with certain properties. Hierarchies allow t...
متن کاملassessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Manipulative and Physiological Therapeutics
سال: 2003
ISSN: 0161-4754
DOI: 10.1016/s0161-4754(03)00076-9