Language Engineering (LE) products and resources for the world’s “major” languages are steadily increasing, but there remains a major gap as regards less widely-used languages. This paper considers the current situation regarding LE resources for some of the languages in question, and some proposals for rectifying this situation are made, including techniques based on adapting existing resource...

In this paper we investigate a technique for fusing approximate knowledge obtained from distributed, heterogeneous information sources. We use a generalization of rough sets and relations [14], which depends on allowing arbitrary similarity relations. The starting point of this research is [2], where a framework for knowledge fusion in multi-agent systems is introduced. Agent’s individual perce...

Definition questions represent a largely unexplored area of question answering—they are different from factoid questions in that the goal is to return as many relevant “nuggets” of information about a concept as possible. We describe a multi-strategy approach to answering such questions using a database constructed offline with surface patterns, a Webbased dictionary, and an off-the-shelf docum...

Two kinds of systems have been defined during the long history of WSD: principled systems that define which knowledge types are useful for WSD, and robust systems that use the information sources at hand, such as, dictionaries, light-weight ontologies or hand-tagged corpora. This paper tries to systematize the relation between desired knowledge types and actual information sources. We also comp...

Information integration is the task of aggregating data from multiple heterogeneous data sources. The understandings of semantics and context knowledge of data sources are often the keys to challenging problems in information integration such as schema alignments and inconsistency resolution. Context logic provides a unified framework for the modeling of data sources; nevertheless, the acquisit...

Ontology mediation is enabled through interoperability of semantic data sources. It helps data sharing between heterogeneous knowledgebase and reuse by semantic applications. Ontology mediation includes operations such as, mapping, alignment, matching, merging and integration. This paper aims at discussing a new approach of ontology merging and matching using ontology abstract machine with an i...

We present an implemented approach for domain-restricted question answering from structured knowledge sources, based on robust semantic analysis in a hybrid NLP system architecture. We perform question interpretation and answer extraction in an architecture that builds on a lexical-conceptual structure for question interpretation, which is interfaced with domain-specific concepts and properties...