Abstract: Nowadays knowledge is recognized as an important enabler for competitive advantages and many companies are beginning to establish knowledge management systems. Within the last few years many organizations tried to design a suitable knowledge management system and many of them were successful. This paper is to discover critical success factors (CSF) of knowledge management (KM) and the...

Concrete words are more quickly recognized than abstract words (Bransford & McCarrell, 1974; Paivio, 1986). Different theories of semantic processing argue that either there are more brain areas that process concrete than abstract words (bilateral versus unilateral; Paivio, 1986), or that the same brain areas process both kinds but that concrete words have more context associated with them (Bra...

In this extended abstract we describe several semantic sources that can be found in the Web that are either explicit, e.g. Wikipedia, or implicit, e.g. derived from Web data. We also show how we are using them to improve search and to generate new semantic resources, as our final goal is to produce a virtuous feedback circuit for semantic enhancement based in machine learning.

Size is an important visuo-spatial characteristic of the physical world. In language processing, previous research has demonstrated a processing advantage for words denoting semantically "big" (e.g., jungle) versus "small" (e.g., needle) concrete objects. We investigated whether semantic size plays a role in the recognition of words expressing abstract concepts (e.g., truth). Semantically "big"...

This paper deals with the semantic representation of user utterances within development of computerized dialogue system intended for city information center. The formalisms for description of natural language are mentioned and verified on user utterances and first dialogue turns within selected domain areas. A parser analyzing the utterance segments according to given rules is presented. Then t...

Abstract This paper shows that previously reported generation algorithms run into problems when dealing with f-structure representations. A generation algorithm that is suitable for this type of representations is presented: the Semantic Kernel Generation (SKG) algorithm. The SKG method has the same processing strategy as the Semantic Head Driven generation (SHDG) algorithm and relies on the as...

Abstract: Semantic query optimization uses semantic knowledge to transform a query into another form that can be executed in a more efficient manner but still yields the same result as the original query. The semantic knowledge can be supplied by users or derived by the system.. In this paper, we describe the ARDOR semantic query optimizer with automatic rule derivation capabilities which, in r...

Conceptual knowledge allows us to bring meaning to our world. Studies of semantic dementia (SD) patients and some functional neuroimaging studies indicate that the anterior temporal lobes, bilaterally, are a core neural substrate for the formation of conceptual representations. The majority of SD patients (who have circumscribed atrophy of the anterior temporal lobes) have better comprehension ...

As more semantic web services become on the Internet, it is feasible that users collaborate among them to save efforts in complex web solutions by sharing and reusing existing semantic web services, rather than building them from scratch. In this paper we focus on the problem of discovering and reusing semantic web services at a high level of abstraction centered on the concept of abstract patt...

The authors assessed comprehension of carefully matched classes of words, manipulating grammatical subcategory (noun and verb) and semantic (concrete and abstract) characteristics for participants with semantic dementia (SD) or probable Alzheimer's disease (AD). Participants selected the best of four words that matched a verbal description. Participants with AD or SD were significantly impaired...