Exploiting disjointness axioms to improve semantic similarity measures
نویسندگان
چکیده
منابع مشابه
Exploiting disjointness axioms to improve semantic similarity measures
MOTIVATION Representing domain knowledge in biology has traditionally been accomplished by creating simple hierarchies of classes with textual annotations. Recently, expressive ontology languages, such as Web Ontology Language, have become more widely adopted, supporting axioms that express logical relationships other than class-subclass, e.g. disjointness. This is improving the coverage and va...
متن کاملInductive Learning of Disjointness Axioms
The tremendous amounts of linked data available on the web are a valuable resource for a variety of semantic applications. However, these applications often need to face the challenges posed by flawed or underspecified representations. The sheer size of these data sets, being one of their most appealing features, is at the same time a hurdle on the way towards more accurate data because this si...
متن کاملLearning Disjointness Axioms Technical Report
Our approach to the automatic acquisition of disjointness axioms relies on a machine learning classifier that determines disjointness of any two classes. The classifier is trained based on a “Gold Standard” of manually created disjointness axioms, i.e. pairs of classes each of which is associated with a label – “disjoint” or “not disjoint” – and a vector of feature values. As in our earlier exp...
متن کاملVector based Approaches to Semantic Similarity Measures
This paper describes our approach to developing novel vector based measures of semantic similarity between a pair of sentences or utterances. Measures of this nature are useful not only in evaluating machine translation output, but also in other language understanding and information retrieval applications. We first describe the general family of existing vector based approaches to evaluating s...
متن کاملApplications of semantic similarity measures
There has been much interest in uncovering protein-protein interactions and their underlying domain-domain interactions. Many experimental techniques have been developed, for example yeast-two-hybrid screening and tandem affinity purification. Since it is time consuming and expensive to perform exhaustive experimental screens, in silico methods are used for predicting interactions. However, all...
متن کاملذخیره 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: Bioinformatics
سال: 2013
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btt491