Structured reporting systems allow health care providers to record observations using predetermined data elements and formats. We present a generalized language, based on the Standard Generalized Markup Language (SGML), for platform-independent structured reporting. DRML (Data-entry and Report Markup Language) specifies hierarchically organized concepts to be included in data-entry forms and re...

The use of semantic information found in structured knowledge bases has become an integral part of the processing pipeline of modern intelligent information systems. However, such semantic information is frequently insufficient to capture the rich semantics demanded by the applications, and thus corpus-based methods employing natural language processing techniques are often used conjointly to p...

A framework for a structured representation of semantic knowledge (e.g. word-senses) has been defined at the IBM Scientific Center of Roma, as part of a project on Italian Text Understanding. This representation, based on the conceptual graphs formalism [SOW84], expresses deep knowledge (pragmatic) on word-senses. The knowledge base data structure is such as to provide easy access by the semant...

In this paper we describe a knowledge base that has been built using the partially structured knowledge from encyclopaedias. The BDCon (from the Spanish: Base de Datos de Conocimiento) is a general ontology built around an extended Spanish lexicon extracted from two encyclopaedias and a cartographic database. It is composed by a number of interconnected knowledge structures, each of them coveri...

In this paper, we introduce ontology-centric knowledge organization approach to realize knowledge base system for sharing and reuse of knowledge. Since ontology is an intermediate level of information representation between the model and media level of information, it can work to bridge multiple models and multiple users. To share personal information among users, they must share their manners ...

In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...

In this paper, we first show how in CGKAT, our knowledge acquisition tool, any document element and its semantics may be represented using the Conceptual Graphs formalism (Sowa, 1984) and a structured document editor. Then, we study the kinds of hypertext links that may be set between documents elements and concepts or relations of the knowledge base (such links enables the use of search techni...

The paper introduces an open domain entity search system called ESearch, which aims at finding a list of relevant entities to an open domain entity search query (a natural language question). The system is built on top of a Wikipedia text corpus, as well as the structured DBPedia knowledge base. Entities are initially ranked by a model which effectively associates context matching (based on the...