Relation Extraction (RE) is the task of extracting semantic relationships between entities in text. Recent studies on relation extraction are mostly supervised. The clear drawback of supervised methods is the need of training data: labeled data is expensive to obtain, and there is often a mismatch between the training data and the data the system will be applied to. This is the problem of domai...

In this paper a Set Theoretic approach has been reported for analyzing inter-relationship between any numbers of RDF Graphs. An RDF Graph represents triples in Resource Description Format (RDF) of semantic web. So the identification and characterization of criteria for inter-relationship of RDF Graphs shows a new road in semantic search. Using set theoretic approach, a sound framing criteria ca...

We propose a novel graph metric for semantic entity-relationship networks for solving two tasks. First, given a semantic entity-relationship graph such as for example DBpedia we find relevant neighbors for a given query node. Second, we search for paths between two given nodes in order to discover interesting links between the nodes. Compared to using the default step metric our approach yields...

The knowledge acquisition bottleneck problem, well-known to the Knowledge Management community, is turning the weaving of the Semantic Web (SW) into a hard and slow process. Nowadays' high costs associated with producing two versions of a document – one version for human consumption and another version for machine consumption – prevent the creation of enough metadata to make the SW realizable. ...

OBJECTIVE The Enriched Semantic Network (ESN) was introduced as an extension of the Unified Medical Language System (UMLS) Semantic Network (SN). Its multiple subsumption configuration and concomitant multiple inheritance make the ESN's relationship structures and semantic type assignments different from those of the SN. A technique for deriving the relationship structures of the ESN's semantic...

How to construct relationship between bilingual texts is important to effectively processing multi-lingual text data and cross language barriers. Cross-lingual latent semantic indexing (CL-LSI) corpus-based doesnot fully take into account bilingual semantic relationship. The paper proposes a new model building semantic relationship of bilingual parallel document via partial least squares (PLS)....